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An investigation into the profitability of energy management in office buildings Dimond, Stephen Hugh 1988

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An Investigation into the Profitability of Energy Management in Office Buildings By Stephen Hugh Dimond B.A.Sc, University of Waterloo, 1982  A THESIS SUBMITTED IN PARTIAL FULFILLMENT OF THE REQUIREMENTS FOR THE DEGREE OF MASTER OF SCIENCE, BUSINESS ADMINISTRATION in THE FACULTY OF GRADUATE STUDIES (Faculty of Commerce, Urban Land Economics Division)  We accept this thesis as conforming to the required standard  THE UNIVERSITY OF BRITISH COLUMBIA September, 1988 © Stephen Hugh Dimond, 1988  In  presenting  degree  this  at the  thesis  in  University of  partial  fulfilment  of  of  department  this or  publication of  thesis for by  his  or  that the  her  representatives.  It  this thesis for financial gain shall not  The University of British Columbia 1956 Main Mall Vancouver, Canada V6T 1Y3  for  an advanced  Library shall make  it  agree that permission for extensive  scholarly purposes may be  permission.  DE-6(3/81)  requirements  British Columbia, I agree  freely available for reference and study. I further copying  the  is  granted  by the  understood  that  head of copying  my or  be allowed without my written  ABSTRACT  This thesis examines the costs and benefits of energy management in office buildings and investigates the relationships between operating costs, space lease contracts, and building value. Energy Management by building owners and managers begins with monitoring and analysing building energy use and continues by reducing energy consumption through operating procedure changes, equipment replacement and control, personnel training, and continued monitoring. The cost to complete energy management projects in 12 office buildings is analysed. The average, before tax, internal rate of return for the the 12 energy management programs was 22.1%, on total expenditures of roughly $1,200,000. Nine of the office buildings are publicly owned and occupied by the provincial government of B.C. The return on the investments in these buildings directly benefits the citizens of B.C. However, in the three privately owned and  tenant occupied buildings, the owners have a less direct method of receiving the benefits due to net lease contracts with  tenants, under which the tenants pay the energy costs and would normally receive the energy cost savings. If only the  energy cost savings in vacant areas acrue to the owner, the after tax returns to the ownerfromthe investments in energ management for the three privately owned buildings are all negative. However, because building value is determined by the net income of a property, and net income is dependent on  revenues and operating costs, a statistical analysis of revenues and costs was completed on a 140 building sample of office buildings in the Vancouver, B.C. metropolitan area. The results of that analysis provided support for the hypothesis that energy cost reductions could result in increased lease revenues at the time of lease expiries because tenants are concerned  primarily about the total space cost, not the lease payment to the owner. In that case, the returns to the building owner were significandy improved, were all positive, and were as great as 80%.  ii  Table of Contents PAGE  ABSTRACT  ii  List of Figures  iv  List of Tables  v  Acknowledgements  vi  1.0  Introduction  1  2.0  Energy Costs, Consumption, and Management in Office Buildings  3  2.1 2.2 2.3  3 5 8  3.0  Energy Costs in Office Buildings Energy Consumption in Office Buildings Energy Management Projects  Energy Management Investment Decisions  11  3.1 3.2 3.3 3.4 3.5  11 12 14 17 23  The Lack of Incentive Problem Real Estate Valuation The Importance of Operating Costs Result of Regression Modelling Translating Energy Cost Savings into Increased Lease Revenues  4.0  Empirical Studies on Energy Efficiency Projects  25  5.0  Energy Use Accounting  27  5.1 5.2  27 29  Monitoring Actual Energy Use Effects of Weather on Energy Use  6.0  Introduction to Buildings in the Study Sample  31  7.0  Analysis of Energy Management Projects in the Study Buildings  33  7.1 7.2 7.3  33 35 35 35 37 39  8.0  9.0  Weather Influences Calculation of Energy Savings Financial Returns to Energy Management Projects in Study Buildings 7.3.1 Return Measures 7.3.2 Risk Assessment 7.3.3 Results  Overcoming the Barriers to Energy Management in Office Buildings  44  8.1 8.2  44 45  Investment Barriers Overcoming The Barriers  Implications and Future Work  47  Bibliography  48  Appendix  51  List of Tables Table  Description  Page  I  Data for Figure 4 - Energy Consumption per Unit Area  6  II  Northeastern U.S. High Rise Office Building Five Years After Retrofit  15  m  Results of Regression Modelling  17  IV  Pearson Correlation Coefficients  19  V  A Survey of Office Building Energy Management Projects  26  VI  Buildings in the Study Sample  31  VII  Energy Data Available and Project Dates for Buildings in the Study Sample  31  VIII  Energy Management Projects Completed in the Study Sample  32  IX  Base Heating Temperatures  34  X  Base Cooling Temperatures  34  XI  Straight Savings Over Base Year  36  XII  Degree Day Corrected Savings Over Base Year  36  xni  Before Tax Cash Flows to Projects  42  XIV  After Tax Cash Flows to Projects  43  XV  Advantages to Financing Options  46  iv  List of Figures Figure  Description  Page  1  Relative Operating Expenses in Office Buildings  3  2  Total Office Building Operating Expenditures (per square foot)  4  3  Operating Expenditures in Office Building as proportion of each $100 spent  4  4  Energy Consumption per Unit Area - EkWh/sf Office Buildings: (Minimum, Average, Maximum)  6  5  U.S. New Office Building Energy Consumption BECA - CN data base: 1982 - 1984  7  6  Percent Participation : Energy Conservation Projects 214 Office Buildings - 1973 to 1980  8  7  Extent of Lender Agreement that Energy Efficient Non-Residential Income Properties Command Higher Market Values than Comparable Buildings - A Survey of 1,721 Lenders 13  8a  Metropolitan Vancouver, B.C. Office Rents and Operating Costs  20  8b  Metropolitan Vancouver, B.C. Office Rents and Operating Costs  21  9  Energy Users in Office Buildings  28  10  Seasonal Effects on Energy Use  28  11  Illustration of Heating Degree Days  29  12  Annual Degree C Days Less than 18°C for Selected North American Cities  30  13  Estimated versus Actual Energy Cost Savings for Office Buildings in the Study Sample  38  14  Relative Price Increases - Natural Gas, Fuel Oil, Electricity and Consumer Price Index : 1975 to 1987  38  15  Energy Price Projections to the Year 2000  40  V  Acknowledgements  I would like to thank all those people who have advised, assisted, and encouraged me in the completion of this thesis. I am indebted to many and would like to give a special thank you to: Sid Sidhu and Jack Meredith who provided the bulk of the data. Other data and reports were generously provided by Alan Elander, Bill Perkins, Ludwig Zifracki, Dana Sundmark, Wim Bakker, Jack Smits, Norm Wasser, Donald Duncan, Ron Elliot, Jeffrey Harris, and Jean Richard. I would also like to thank Denis Doll for providing the initial spark and John Hudson who provided printing services. I also thank my advisors, Drs. Goldberg, Hamilton, and Cole for their valued input  Most of all, I extend a very special thank you to my wife, Astrid, who is always an inspiration. This thesis is dedicated to her.  vi  'The very best investment opportunity today is in energy conservation where returns of 35 % to 50 % are possible" - Forbes Magazine, March 1980, evaluating investment opportunities in diamonds, gold, money markets, stocks, & real estate.  1.0 Introduction The efficient markets hypothesis of the finance world states that, if capital markets are efficient, then the purchase  or sale of any security, at the prevailing market price, is a zero net present value transaction. This means that there is a long run inability to make abnormal profits - the return will be fair compensation for the risk undertaken. Tests of the hypothesis in financial markets and real estate markets have shown that all available information will be impounded in the price of the investment and superior risk adjusted returns cannot be expected. The primary hypothesis of this research 1  is that the risk adjusted returns to investments in office building energy management are sufficient to encourage investment and mav even he superior to other common investments, such as stocks, bonds, or real estate. This  will be shown to be true even in cases where a tenant receives most of the annual energy cost savings under net lease contracts (triple net rents). A superior, or abnormal, risk adjusted return would indicate that barriers to investment exist, or information is not being passed on to the marketplace.  An expenditure to reduce energy use should be viewed as an investment, not a necessity. Consequently, energy  efficiency or energy management are more appropriate investment objectives than energy conservation. E 2  management is any management action which serves to monitor, control, or reduce energy use and, especially, energy cost A goal in the energy management process is to increase the efficiency of energy use. An energy efficient office building provides a comfortable and safe environment with the least amount of input energy. This thesis will analyse the returns to investments in energy efficiency in office buildings by way of cash flow impacts and by a percentage rate of return to the money invested, on a present value basis. A principle objective of this study is to allow comparison of the returns to investments in energy management with any other investment The information in this thesis will expand the existing base of simple cost benefit studies on energy management, and will investigate the effects of triple net lease contracts on the implementation of energy management projects in office  buildings. Triple net leases are those which require the tenants to pay property taxes, operating costs, and utility expenses. 1  While the ongoing energy cost savings from energy use reductions accrue to the tenants, future benefits to the owner from a reduction in tenant paid costs may include increased lease revenues and enhanced building value. A second hypothesis in this thesis is that the value tenants perceive in office space is reflected by gross space costs, not bv triple net  rents.  If this hypothesis is proven true, then a reduction in operating expense could result in higher triple net rents, and increased value of the real estate asset Members of the technical community will note that no engineering analysis of the energy management projects is completed. The objective of this thesis is to examine twelve case studies and to explore the issues affecting the financial returns to energy management This thesis is worthwhile readingtogain a better appreciation of how energy management can increase building value. Real estate professionals will find the discussion on valuation a review, but will gain insights from an empirical analysis of the effects of operating costs on lease revenues. Methods of overcoming the barriers of net lease contracts will also be of interest Data will be provided on energy use and cost in office buildings and types of energy management projects which have been completed in office buildings will be summarized. The rents and operating costs in metropolitan Vancouver office buildings will be reviewed and relationships between the two will be investigated. The findings of studies on the energy savings from energy management investments will be presented and an analysis of the rate of return from energy management projects is detailed for 12 office buildings. The barriers to investment and various methods of financing energy management projects are also presented.  Footnotes appear at the end of each chapter 1  A good review on stock market efficiency is E. F. Fama, "Efficient Capital Markets: A Review of Theory and Empirical Work," Journal of Finance 25 (May 1970): 383-417. As applied to real estate investments, see G.W. Gau. "Public Information and Abnormal Returns in Real Estate Investments.'' AREUE A Journal 13-1 (1985): 1531 .  2  Conservation is defined as preservation. The Merriam-Webster Dictionary. 1974 ed., s.v. "Conservation"  2  2.0 Energy Costs, Consumption, and Management in Office Buildings  2.1  Energy Costs in Office Buildings The Building Owners and Managers Association (BOMA) reported that, on average, energy costs were the  second largest expense in office buildings in 1985, in both Canada and the United States . Figure 1 illustrates the expense 3  categories in office buildings.  Figure 1. Relative Operating Expenses in Office Buildings Fixed  5%  5%  Utilities 12%  31%  Repair &  41 %  Maintenance  14%  Cleaning 14%  Admin. |~~| Roads, Grounds & Security 25%  20% CANADA  U.S. Private Sector - 2287 Bldgs Canada Private Sector -135 Bldgs  UNITED STATES  Source: (BOMA, 1986) The utility costs reported in the BOMA report include water and sewer, which tend to be relatively small. Therefore, for general use purposes, the utilities category may be considered to be energy. The actual revenues and expenses for a sub-sample of the above noted BOMA survey were reported to be:  1985 $/square Toot Revenues Utilities Total Operating Expenses Total Operating + Fixed Exp.  CANADA Median Average $12.44 $15.26 $1.44 $138 $4.35 $4.18 $6.58 $6.94  U.S.A. Median Average $11.68 $14.17 $1.64 $1.85 $4.35 $5.21 $5.74 $7.38  N O T E : Canadian figures in Canadian dollars, U.S. figures In VS. dollars Canada private sector: 108 office buildings - 27.9 million square feet Source: (BOMA, 1986),pg277 -Datafor 1985 U.S. private sector: 2287 office buildings - 437.4 million square feet Source: ( B O M A 1986). pg 165 - Data for 1985 In 1985, as a percentage of the average total operating expense in office buildings (excluding fixed costs and leasing costs), the average utility cost was 33% in Canada and 36% in the United States. In Canada, the relative size of energy costs has increased from 27% in 1981.  City  Figure 2. Office Building Variable Operating Expenditures (per square foot)  #  New York - DT Philadelphia - DT San Diego - Sub Detroit - Sub Philadelphia - Sub San Diego - DT Toronto - DT Washington DC - DT Boston - DT San Francisco - DT Houston - DT Toronto - Sub Washington DC - Sub Boston - Sub Vancouver - DT Detroit - DT Ottawa - DT Quebec - Sub Montreal - DT Edmonton - DT Calgary - DT Seattle - DT  HI} Administration Rds/Gnds/Sec HI Repair & Maintenance p|} Cleaning |  Utilities  Source : BOMA Experience Exchange Report 1986-data fori 985 (DT=Downtown, Sub=Suburbs) $0.00  $2.00  $4.00  $6.00  $8.00  (Costs for American cities in U.S. dollars, costs for Canadian cities in Canadian dollars.)  Figure 2 illustrates average operating expenditures for office buildings in specific cities across North America. Note that the chart is not equally area-weighted for each city (i.e. average costs for some cities are calculated with data from more buildings and greater floor areas.) Figure 3 presents this same data as percentages of each $100 of operating cost expenditure. The motivation for  Figure 3. Office Building Variable Operating Expenditures as proportion of each $100 Spent  San Diego - DT San Diego - Sub Philadelphia - Sub Detroit - Sub Philadelphia - DT Houston - DT Washington DC - DT Ottawa - DT Toronto - DT Boston - Sub New York - DT Washington DC - Sub Quebec - Sub Calgary - DT Toronto - Sub Boston - DT Vancouver - DT Edmonton - DT San Francisco - DT Montreal - DT Detroit - DT Seattle - DT $0.00  {IH Administration Q  Rds/Gnds/Sec  H} Repair & Maintenance IH  Cleaning  •  Utilities  Source : BOMA Experience Exchange Report 1986-datafor 1985 (DT=Downtown, Sub=Suburbs) $20.00  $40.00  $60.00  $80.00  $100.00  (Costs for American cities in U.S. dollars, costs for Canadian cities in Canadian dollars.)  4  implementing energy management projects will be dependent on both the absolute cost and the relative magnitude of the energy costs. For instance, in San Diego, for the buildings reported, energy costs represented 50% of the total operating cost. There is a greater incentive to control energy costs than, say, cleaning expenses. Conversely, the properties in Montreal, Edmonton, Vancouver and Seattle have lower incentives to save energy due to lower utility unit costs, even though the energy use per unit area (kWh/ft) may be high. (In 1985, San Diego had the highest cost per unit 2  energy in the U.S. ) 4  The relative size of energy expenses and revenues also differs between suburban and downtown office buildings. The data in the BOMA report showed the downtown office buildings generated morerevenuethan the suburban offices and, in Canada, the downtown office buildings had lower relative energy costs than the suburban office buildings. Canada (Can. $) 1985 Revenue: Downtown Suburban  # Bldgs 90 18  $15.65 $11.77  1985 Utility Expense: Downtown Suburban  United States (U.S. $) # Bldgs 1022 1264  $1.35 $1.58  $14.96 $12.49 $1.95 $1.62  Source: (BOMA, 1986) pp. 165 and 277  2.2  Energy Consumption in Office Buildings Energy use per unit area varies dramatically between office buildings. Studies have found energy use in office 5  buildings ranged from a low of 9.8 EkWh/ft (380 MJ/m) to a high of 169.0 EkWh/ft (6549 MJ/m ) . These findings 2  J  J  J 6  are summarized in Figure 4. The number of buildings and average size in each study is noted in table I.  5  Figure 4. Office Building Energy Consumption per Unit Area I EkWh/sf : (Minimum, Average, Maximum) I  775  Source  Equivalent MegaJoules per Square Metre per Year 1550 2325 3100 3875 4650 5425 6200  US DOE [Pre-retrofit] 1983 O R F [Pre-retrofit] 1982 BOMA [Canada-wide] 1977 BC Hydro [> 3 stories] 1985 Eng'g.Interface [Pre-retrofit] 1983 B C B C [Pre-energy prog.] Iate1970's Ontario Hydro Survey 1978 B C Hydro [< 3 stories : gas] 1980 X R G Consultants Inc. [Vane] 1986 BC Hydro [> 3 stories] 1980 B C Hydro [< 3 stories] 1985 US D O E [Post-retrofit] 1983 Eng'g. Interface [Post-retrofit] 1983 O R F [Post-retrofit] 1982 B C Hydro [< 3 stories : elec] 1980 B C B C [Post-energy program] 1986 0.0  20.0  Sources: see below - Table I  40.0 60.0 80.0 100.0 120.0 140.0 160.0 Equivalent Kilowatthours per Square Foot per Year  180.0  Table I. Data for Figure 4 - Energy Consumption per Unit Area # Bldgs  Avg ft  35 35 9 3 26 28 27 47 25 80 35 3 19  50,725  9 26  2  266,221 679,333 625,846 14,400 107,250 175,069 50,725 679,333 88,025 266,221 625,846  Study  Year  <—EkWh/ft*—> Low High Average  BCBC [Post-energy program] BC Hydro [< 3 stories : elec] ORF [Post-retrofit] Eng'g interface [Post-retrofit] US DOE [Post-retrofit] BC Hydro [< 3 stories] BC Hydro [> 3 stories] X R G Consultants Luc. [Vane] BC Hydro [< 3 stories : gas] Ontario Hydro Survey BCBC [Pre-energy program] Engineering Interface [Pre-retrofit] BC Hydro [> 3 stories] BOMA [Canada-wide] ORF [Pre-retrofit] US DOE [Pre-retrofit]  1986 1980 1982 1983 1983 1985 1980 1986 1980 1978 1970's 1983 1985 1977 1982 1983  15.1 9.0 22.0 21.8 8.4 11.1 11.6 14.9 12.4 19.0 20.8 31.8 22.3 18.0 38.0 14.7  24.6 33.8 35.0 35.3 35.9 36.1 36.5 37.3 38.8 44.4 45.6 46.2 48.6 48.6 52.0 52.7  51.7 77.4 55.0 48.2 109.1 93.0 93.2 78.7 66.9 87.0 71.2 57.7 97.8 169.0 74.0 177.2  TOTAL Number of Buildings = 407 + Sources:  B.C. Buildings Corp. internal summaries (1986), BC Hydro (1983), BC Hydro internal updates (1987), ORF (1980), Engineering Interface (1983), Ross and Whalen (1983), XRG Consultants Inc. (1986)  Figure 5 illustrates the energy use for 88 selected new office buildings in the United States (1982 to 1984) compared with 1979 average U.S. office stock energy use levels. The new office buildings show major reductions in energy consumption levels. Higher thermal resistance in walls, higher efficiency heating and cooling systems, computerized control, and daylighting have contributed to these improvements. 6  Figure 5. U.S. New Office Building Energy Consumption BECA-CN database : 1982-1984 Total Number of Buildings : 88 41 38.1 35.2 32.2 EkWh 29.3 23.4 peryr (upper limits) 147 117 8.8 5.9 2.9 H  2  Q  5  1  7  6  ]  1979 U.S. Office Stock : NonRes Bldg Energy Consumption Survey (NBECS) - U.S. Dept of Energy (36.3 Ekwh/sf.yr)  i  ESSSKI  All Electric Mixed Fuel  is 5  10  20  15  25  Number of Buildings (36.3 EkWh/ft = 1406 MJ/m , J  14.7 E k W h M ^ 570 MJ/m  2  J  )  Source: Ross and Whalen (1983) Correale (1973) found, in a survey of 76 office buildings in New York City, that energy consumption increased with the number of stories in a building. He also found that older buildings used less energy. This fact reversed after 1970, when the newer buildings used less energy. Anderson (1983) found, in a survey of 73 office buildings in Vancouver, B.C., that energy consumption was highly correlated with the existence of underground parking (0.44), 7  the number of stories (0.47), the presence of air conditioning (0.41), and the presence of elevators (0.48). Anderson also found that the age of the building was negatively correlated (-0.32) with energy consumption for buildings constructed prior to 1971, indicating that older buildings used less energy than newer buildings. Anderson also found that this correlation reversed (+0.26) for buildings with major alterations after 1971 or constructed after 1971 - newer buildings used less energy. A study commissioned by the National Research Council of Canada found that the hours of work and the work days per year were the most important factors contributing to high energy use in a study of four office buildings. The 8  highest energy user was in Vancouver, at 100 EkWh/ft, while properties in Edmonton and Saskatoon, cities with much 2  more severe climates, consumed approximately 60 EkWh/ft. Weather influences are important, but are not necessarily 2  a predominant cause of high energy use.  7  2.3  Energy Management Projects Energy management activities may be simple operations and maintenance changes, or sophisticated alterations  to building systems. Energy audits of a building will show the potential for savings and the costs to complete each project. Analyzing the costs and benefits of each project will then allow prioritizing. Simple projects, such as reducing operating hours, changing temperature setpoints, and delamping (removing unnecessary lighting), are generally low cost or no cost measures. Ross and Whalen (1983) reported that investments of less than SO.lO/fi? (1980 $U.S.) achieved energy savings of 8% to 14%. Mechanical and electrical equipment modifications vary from low cost measures, such as installing timeclocks to shut down fans and turn off lights, to higher cost boiler or air conditioning equipment replacement, heat recovery and computerized control systems. Structural and architectural changes to a building can be of moderate cost, such as weatherstripping, or higher cost investments, such as window replacement or the addition of insulation. Ross and Whalen (1983) noted that major architectural changes can rarely be economically justified on energy savings alone.  9  Greater costs are incurred if changes are made after initial construction. When retrofitting, (improvements made after initial installation), work must conform to tenant needs, access to the building infrastructure is restricted, and old equipment must be removed. The participation in various energy saving projects for a study group of 214 office buildings across the United States in the period 1973 to 1980 is charted in Figure 6. Delamping or reduced lighting wattage and Energy Management Figure 6. Per Cent Participation : Energy Conservaton Projects 214 Office Buildings -1973 to 1980 (most after 1978) (Penn, Md, Calif, III, Mich, Wise. - USA)  o%  Lower domestic hot water temp. Weatherstripping Internal shading Change lighting types Modify distribution system equip. Fan & Pump Scheduling Replace inefficient heating equip. Replace distribution system equip. Lighting controls Modify space cooling equip. Setpoints below guidelines Reduced cooling hours Caulking Reduced outside air volumes Clock thermostat Reduced heating hours Reduced lighting hours Energy mgmt control system Delamped or reduced wattage Source: Hittman (1982)  10%  20%  30%  40%  50%  60%  70%  80%  Control Systems had been implemented in 75% to 80% of the buildings studied Energy management control systems (EMCS or EMS) have had tremendous growth and acceptance in the office building industry. Whereas in 1974 there  were fewer than 10 suppliers of these computer based systems, the U.S. industry now has more than 200, according to the Electric Power Research Institute of Palo Alto, California. Booz, Allen & Hamilton, consulting engineers in New  York, estimate that the 1987 EMCS market was worth $2.5 billion per year, and is growing at approximately 10% per year.  10  Investments in energy efficiency should be viewed primarily as investments to reduce operating costs, but should also be viewed as investments in revenue generation. Because reduced energy cost and improved control will be viewed as a benefit by the tenant, an energy management project will increase the probability of acquiring or retaining tenants.  During the research for this thesis, it was clear that building owners and managers are concerned about, or at least aware of, energy costs. The reason for completing energy efficiency investments was often related to the need to maintain tenant satisfaction, not because of direct investment returns. But maintaining tenant satisfaction is an investment if it prevents having vacant space because operating costs are too high. While most energy management projects do offer many benefits, not all projects are successful. Ross and Whalen suggested that on-site operator disinterest and a lack of knowledge about building systems were the primary causes for failed energy management projects. This concern was also mentioned in a working paper by the Ontario Research Foundation , which reported the views and concerns of 16 individuals (property managers and owners, equipment 11  suppliers and manufacturers, architects, energy consultants, and government officials) from a discussion group on energy conservation in the high-rise office sector. The subject of operator skills and training requirements led to more comment than any other topic. An operator's lack of incentive to save energy was considered to be a problem by the building owners. Progress is not necessarily progress if operators are not educated, kept informed, and trained to new schedules. They, more than anyone, may determine success or failure.  12  A lack of operator knowledge and skill must be blamed on poor management, not solely on the operators. Information transfer is the key factor in establishing an efficient energy management marketplace. Feedback on system operation is essential for a successful retrofit project  9  3  Building Owners and Managers Association International. 1986 Experience Exchange Report: Income/Expense Analysis for Office Buildings. 1250 Eye Street, N.W., Washington, D.C. - p. 7.  4  Energy User News. June 23,1986 - Vol. 11, No. 25 - See Appendix A for Canadian utility rates.  5  The unit of energy use in this report will be Equivalent kiloWatthour (EkWh) and Equivalent kiloWatthour per square foot (EkWh/sf). The predominant area measurement in the real estate industry is square feet. EkWh is the energy equivalent in kiloWatthours of other energy units, which may be reported in litres (oil), GigaJoules (natural gas), Hundreds of cubic feet (ccf - gas), cubic metres (gas), and pounds of steam.  6  To get MJ/m2 from EkWh/ft2 multiply EkWh/ft2 by 38.75 : 1 kWh/ft2 = 1 kJhr/ft2s • 3600 s/hr • (3.2808 ft/m)2 • 1 MJ/1000 kJ = 38.75 MJ/m2  7  The correlation is given in brackets and ranges between -1 and +1. The closer it is to +1, the greater is said t be the degree of linear association. A positive correlation indicates that, as one variable increases, the other tends to increase as well. A negative correlation implies an increase in one would generally be associated with a decrease in the other.  8  Vinto Engineering Ltd., Study of Energy Consumption of OfficeBuildings. National Research Council of Canada, 1978, (Unpublished)  9  For more information on energy management projects and opportunities contact the local Hydro office (i.e. BC Hydro and Ontario Hydro) or contact the Canadian Electrical Association, The National Research Council, National Electrical Contractors Association (U.S.), National Electrical Manufacturers Association (U.S.), Energy, Mines & Resources Canada, the U.S. Department of Energy, any University engineering department, or a local energy engineering consulting firm.  10  Richard J. Myers, "Energy Management Market Continues to Heat Up". High Technology. February 1987, p. 40.  11  Ontario Research Foundation. Energy Conservation Implementation in the High-Rise Office Sector: State-of-theArt and Future Technology Transfer Needs. Energy Mines and Resources Canada - The Buildings Energy Technology Transfer Program (BETT), January, 1984 OR-83-02  12  Jake Klassen. "LifeCvcle Cost Effectiveness". Heating. Piping & Air Conditioning. September. 1986, pp. 75-84. At date of printing, Mr. Klassen was the Senior Engineer, Training, Energy Mines and Resources Canada in Ottawa, Ontario.  10  3.0 Energy Management Investment Decisions 3.1  The Lack of Incentive Problem The previous chapter showed that utility costs are a major operating expense in office buildings. If the cost of  providing energy is so significant, reasons must exist for a lack of involvement in energy management, evidenced by the large variance in the amount of energy consumed in office buildings (see figure4.) Varying occupancy levels and weather conditions explain only a small portion of this variance. One of the most important reasons for reduced interest in energy management investments in office buildings, and consequent high variance in energy use, is the lack of incentive for office building owners to carry out projects to reduce energy costs. In office buildings which are tenant occupied, leases are most often triple net contracts, or base year contracts. In a triple-net lease contract, the tenant is responsible for paying: i) taxes, ii) operating, maintenance, repair, and service costs, and iii) utility costs Base year contracts require the tenant to pay any costs above the base (usuallyfirst)year costs. With either of these leases, the owner has no direct financial incentive to invest in energy management because any energy cost savings will immediately benefit only the tenant, not the owner. The owner must keep the building in good physical and operating condition, but the costs to do this are most often not recoverable from the tenants. The majority of privately owned office buildings have this lack of incentive. In 1985 the IE A Consulting Group  13  estimated the Canadian office stock to be comprised of: Private rental Government Owner occupied  78% 20% 2%  In the study, IEA noted that one of the major obstacles to energy management was, in fact, the standard commercial lease. Participants in a Building Energy Technology Transfer Program (BETT) workshop also echoed this concern. 11  In contrast, the governments of Canada do have a large incentive to reduce energy use in buildings which they own and occupy. According to the Honourable Stewart Mclnnes, Minister of Public Works -Canada :" Public Works Canada 14  is the largest realty management business in Canada. ...Through our Realty Management Services, we operate and maintain assets worth $6 billion, including 7700 buildings and leases, totalling 8.9 million m (96 million ft)." At a 1  1  cost approaching $2/ft for energy expenses, a small savings is significant. 2  Two of the owners of the 3 privately owned office buildings analysed in this thesis were able to pass the capital 11  costs of the improvements on to the tenants. This was accomplished in two different ways. In one building, most of the improvements were purchased through a lease contract from a finance firm, thereby becoming an operating expense. In the second building, the owner's representatives were able to negotiate an agreement with tenants, whereby all savings  would revert to the owner for a period of 3.5 years. Should no savings result, the capital cost would be absorbed by the owner. The solarfilminstallation completed in the third building was expensed over a two year period. A report by Energy, Mines, and Resources noted that there are advantages to implementing energy management 15  programs in tenant occupied buildings: i) to make leases more competitive in the marketplace, and ii) to enhance the building resale value. This second advantage warrants detailed examination.  3.2 Real Estate Valuation Energy efficiency improvements provide the owner with three forms of economic return: cash flow, tax benefits, and appreciation. (Neglecting the incentive problems for now.) Reduced energy expense increases cash flow, capital improvements shelter taxable income through depreciation, and increased net incomes will increase the resale value of a property. In his study on energy use in office buildings in Vancouver, B.C., Anderson rejected his central hypothesis that  An increase in the expense of energy consumed by a commercial office building has the effect of reducing the m  value of an office building. The implication of Anderson's conclusion is that reducing the energy expenses in offi buildings does not increase the market value. However, Anderson found that high energy expense was highly correlated with the presence of air conditioning, the number of stories, elevators, and underground parking. Since building value would increase with each of these values (increases in comfort, view, service or amenities, and income), it is expected that higher energy expenses would be statistically associated with higher building value in that sample. The important question for energy efficiency improvements is whether a reduction in a specific building's energy expense has the effect of increasing that buildings value. Figure 7 shows that lenders believe that increased energy  efficiency does increase property value, however, the survey was taken in the 1970's when rising energy costs were a greater concern. Office properties, and other income properties, will be valued using the income approach. This approach may include direct capitalization of net incomes or discounting of cash flows. Discounted cashflowtechniques are useful 12  Figure 7. Extent of Lender Agreement that Energy Efficient Non-Residential Income Properties Command Higher Market Values than Comparable Buildings - A survey of 1,721 Lenders  53.0 %  7.0%  8.0%  7.0% AGREE  Definitely AGREE  Slightly AGREE  Slightly DISAGREE  1.0%  DISAGREE  Definitely DISAGREE  Source: Isakson (1977)  when a direct capitalization rate cannot be obtained from recent market sales activity or when operating revenues are not stabilized and may vary during the holding period.  16  The direct capitalization of net operating incomes is the paradigm of income valuation techniques. This simple valuation model is:  Value = Where NOI  Net Operating Income Capitalization Rate = Gross Potential Income  NOI  plus other revenues minus vacancy & collection losses minus operating expenses  This formula is the model of a perpetuity: the present value of a perpetual flow of net incomes, discounted at a constant rate R, the capitalization rate, or CAP rate. The CAP rate, R, is determined from recent sales of comparable market properties. In owner occupied office buildings, or in those using gross leases, the financial return to an energy management investment would be increased if the property NOI increased by the reduction in energy cost Consider the following simple illustration. The cost of an energy management project is $100,000 and the simple payback is 2 years. No other costs or benefits resulted. The property is sold at the end of three years with an income capitalization rate, R, of 10%, and the discount rate is 15%. Energy savings  Project NPV  Value increase  = (-$100,000) + $50,000 + $50,000 + $50,000 + = $342,919  Internal Rate of Return (IRR) Internal Rate of Return  1.15  = 105% =24%  1.15*  1.15  s  ($50,000/10%) TT3 " 3  ( w i t h increase in value) ( N O increase in value) 13  The inclusion of the increase in value of the property in the investment analysis boosts the internal rate of return on the energy project from 24% to 105%. The analysis shown in table II reviewed several incentive alternatives for a specific office building in the northwestern United States. Increases in income were estimated and, based on the owners equity in the office property, the overall rate of return on the ENTIRE real estate investment increased from 24.5% to 35.6% for the single investment in heating efficiency (convenors). The return was based on full capitalization of the energy cost savings into building value.  3.3  The Importance of Operating Costs Energy cost reductions will not immediately increase the owner's net operating incomes when triple-net leases  are used. However, if an office leasing market is efficient, net operating incomes will increase at the time of lease renewal. The following example will illustrate: (Each cost is tenant paid dollars per square foot) Option  Triple-Net Rent  Operating expense  A B C  $15°° $15" $16°°  $9 $8°° $8°°  Total $24 $23 $24  M  M w  M  All other considerations being equal, a firm requiring office space would prefer option B, at $23 /sf total space se  cost A tenant renewing a lease should be indifferent between option A and option C at $24*^. If the energy costs were reduced by $ l^/sf, and this reduction is stable, then the lease income of the property should increase when leases are renewed. But, is this realistic? The second hypothesis of this thesis, that tenants are concerned about the total cost of their space, not just the lease rental payments, is tested using data from office buildings in the metropolitan Vancouver area. In order to assess the liklihood of translating energy cost savings into increased lease revenues, data were obtained for 140 office buildings as follows: MARKET AREA  A  Vancouver Downtown Vancouver Broadway Burnaby North Shore  24 10 4 4  # in CLASS  -AREA f t HIGH AVG 149,435 578,844 56,615 132,000 50,538 110,000 35,779 68,000 2  B  C  33 11 9 3  22 5 14 1  LOW :79 :26 :27 :8  20,000 18,000 11,120 14,000  Total 140 Source: Royal LePage, Commercial Real Estate Services, Vancouver, B.C. 14  Table II.  Retrofit Option NO RETROFIT . . Water heating Fan Pulleys Converter Thermopane All Measures  Retrofit Option NO RETROFIT Water heating Fan Pulleys Convenor Thermopane All Measures  1975 cost  $3,500 $1,500 $24,000 $614,000 $643,000  Northeastern U.S. High Rise Office Building Five years after retrofit  % Energy Saved  2.9% 0.1% 17.1% 11.5% 31.6%  Building Investment Profit • (non discounted) Policy Alternatives for Energy Management Projects Existing 15% 3 year 7.5 % debt Law tax credit writeoff on 90% $7,735,000 $7,934,000 $7,743,000 $8,902,000 $8,165,000 $9,536,000  _ $7,934,000 $7,743,000 $8,906,000 $8,257,000 $9,632,000  _ $7,934,000 $7,743,000 $8,904,000 $8,223,000 $9,596,000  $7,933,000 $7,743,000 $8,899,000 $8,081,000 $9,448,000  Discounted After Tax Rate of Return (entire Building) Existing 15% 3 year 7.5 % debt Law tax credit writeofl on 90% cost 24.5% 24.7% 24.5% 25.6% 24.2% 25.5%  24.7% 24.5% 25.6% 24.4% 25.7%  24.7% 24.5% 25.6% 24.4% 25.7%  24.7% 24.5% 35.6% 24.8% 26.1%  Building statistics :  Built in 1970 for $27,000,000 770,000 gross sq.ft. No. of stories = 40 Pre-retrofit Electricity costs = $341,000 Pre-retrofit Steam costs = $374,000 Pre-retrofit Water & Sewage = $15,000 Energy Cost = $ 0.95 / gross sq.ft.  Investment Profits INCLUDE value increases in building due to increased NOI (Assumed CAPitalization rate = 10 %) Entire retrofit cost borne by owner Savings shared between tenant and owner Equipment written off over 8 years 50 % tax rate assumed  Source  U.S. Deparment of Commerce Commercial Space : Policy Analysis of Profitability of Retrofit for Energy Conservation Metrostudy Corp., Washington, D.C., June, 1976 Prepared for: Federal Energy Administration, Washington, D.C., Office of Energy Conservation and Environment. National Technical Information Service : PB-269 189  The available data relating to each of these properties was limited to the following variables : Class (A, B, or C) Taxes + operating expenses ($/ft/yr) Triple Net rent (asked) ($/ftVyr) Location Retrofit occurance (usually architectural) (1-0) 2  Year built Number of floors Total building area (ft) Total vacant area (ft) Number of parking stalls 2  2  Other variables which were not available but would influence the level of the rent are: Number of elevators View characteristics Actual effective rents  Existence of air conditioning More specific location variables  A statistical regression analysis was completed to estimate an equation for the rents tenants pay for their office  space. The value a tenant places on office space can be proxied by either the triple net rent paid or by the gross cost o  the space (triple net rent plus operating expenses). Each amenity provided to the tenant will contribute to the value placed  on the space. An equation can be modelled whereby each amenity is given some weight, or portion of the price paid. The model equations tested were: A: B:  Triple Net Rent (TNR) = constant + B,*(amenity,) + B*(amenity) + .... + 6*(amenity) TNR + Operating Costs = constant + 6 *(amenity,) + B/famenitVj) + .... + B*(amenity[) 2  2  n  D  n  The strength of each model is compared to determine which rent is better estimated by the amenities provided with the office space. If the grossrEntsprove IDiae more important to a tenant, then it follows that a reduction of operating costs could be coupled with an increase in triple net rents. Thus a reduction in energy expense could follow with an increase in lease revenues which, when capitalized, would generate much greater returns to an owner of an office building with triple net rents. (Where a lack of incentive to invest exists.) The objective of the first test is to determine the best  proxy for the value that tenants place on the amenities provided in office space - TNR or Gross rents. The models were tested using regression techniques, which provide least squares estimates of the B parameters. The statistics which give an indication of fit of a model are the R-Square and the F-Value: R-Square :  Measures the proportionate reduction of total variation in the dependent variable (TNR or Gross rent) associated with the use of the set of independent variables (amenity - amenity.) Because t  n  the R-Square cannot decrease as more variables are added to a model (the better one can fit the data and the smaller are the deviations around the fitted regression line), an adjusted R-square is used to take into account the number of parameters in the model. F-Value  :  A test statistic used to evaluate the hypothesis that all parameter estimates are zero. The larger the value, the greater the goodness of fit of the model. 16  In this first test, the strength of each model is the key concern, not the accuracy, level, or sign of the coefficients. However, the credibility and fit of the models is also indicated by the t-statistic (t*) for each parameter estimate. The t* is the ratio: _  parameter estimate standard error of the estimate  This ratio gives an indication of the accuracy of the parameter estimate. A t* value of about 2 (significance of the tvaluevaries with number of observations) allows a 95% confidence that the estimate is not zero. The larger the t*, the greater the confidence. A second test was completed to determine the effect of operating costs on triple net rents. Model A was used and taxes+operating costs were included as an amenity. The expected sign of the parameter estimate for taxes+operating cost is negative - higher operating costs would reduce TNR a tenant would be willing to pay.  3.4  Results of Regression Modelling Table UJ shows the results of the regression modelling.  Table in. Results of Regression Modelling Dependent Variable :  GROSS RENTS Variable Type  Intercept Class A Class B Area + 600,000 Vancouver Burnaby Broadway # of Floors Age Parking Retrofit** % Vacancy Taxes+OperatIng Costs R Square Adjusted R Square F Value  1 -0 1 -0 sf/600,000 1 -0 1-0 1 -0 # yrs 1 -0 1 -0  %  Parameter Estimate 11.81 5.88 2.48 11.86 3.20 -0.95 0.79 -0.04 -0.05 1.96 2.18 1.94  t* 8.82 7.04 3.91 3.47 2.78  <  o o o o o  -0.85 0.73 -0.49  -2.68 2.41 2.07 1.48  o o  $/sf  0.79 0.77 44.29  TRIPLE NET RENTS  Parameter Estimate 7.24 4.69 1.82 10.80 0.95 -1.47 -0.28 -0.07 -0.05 1.44 3.20 1.97 -  0.74 0.72 32.91  t* 6.03 o 6.26 ° 3.20 o 3.53 o 0.92 -1.47 -0.28 -0.89  -2.75 1.98 3.39 1.67  o o  ->  Parameter Estimate 5.63 4.26 1.58 10.43 0.15 -1.65 -0.65 -0.07 -0.04 1.26 3.56 1.98 0.35  t*  3.53 ° 5.37 o 2.70 o 3.41 ° 0.14  -1.65 -0.65 -1.02  -2.67  o  1.71 3.68 o 1.69 1.52  0.74 0.72 30.67  ** The retrofit variable (1-0) was not detailed, and may be architectural only. t* indicates significance at 5% level, Bolded ° indicates significance at 1% level. The RSquare and F Value are improved when GROSS rents replace TRIPLE NET rents as the dependent variable. The results in therighttwo columns show the effect of taxes & operating costs. The variable is not significant at the 5% level.  Bolded  17  The t-statistics for most parameter estimates, the R-Square, and the F-Value improved greatly when Gross rents were substituted in place of Triple Net rents. Tenant inducements, free rent periods, rental credits and abatements, and other hidden perquisites were prevalent in 1987 for the office leasing market, but were not available for this study. Each of these would affect the accuracy of using contract rent levels as an indicator of the cost of office space to a tenant. Also, the only lease rate information available were asking prices for vacant space in office buildings, not actual tenant rents. However, these rents will be the comparison rents when existing office tenants search for new space. Unfortunately, a conclusion about which rent, TNR or Gross, reflects the VALUE of the office space is not possible with these data. There is no available variable which accurately reflects the true value of the office space, and, hence no possibility of comparison. The improved R-Square and F-Value show only that the reduction in the variation  of gross rents across 140 office buildings is greater than that of triple net rents with the amenities included in the m In other words, for this analysis, the variables and regresson coefficients combine to estimate the gross rents more  accurately than they estimate the triple net rents. It is not the case that the gross rents estimate the value of the space  it is not known what the true value of the office space is. As a result, nofirmconclusion can be drawn about the validity of the second hypothesis - a tenant is more concerned about total costs than triple net rental costs. The statement is intuitively appealing, but is herein strictly unproven, though supported by the improvements in model accuracies when gross rents were used. The second test was completed to determine the effect of operating costs (including taxes) on triple net rent levels. Figures 8a and 8b show the triple net rents and operating costs for the 140 buildings in the analysis. One statistic which will be important for this second test is the correlation between variables. The correlation is a measure of the relationship between variables. For example, area will be positively correlated with the number of floors  in a building - with more floors there will generally be greater area. The correlation will range from -1.0 to +1.0, where +1.0 is perfect positive correlation. When independent variables are correlated, the regression coefficient of any independent variable depends on which other independent variables are included in the model and which ones are left out Thus, a regression coefficient (parameter estimate) reflects only a marginal or partial effect on the dependent variable (rent), given whatever other correlated independent variables are included in the model.  17  Table IV lists the correlations between each of the variables. In each case of strong correlation, the sign of the correlation (+/-) is as expected. TNR had strong positive correlations with taxes+operating expenses, # floors, existence of parking, area, and Vancouver class A. TNR also had a strong negative correlation with Vancouver class C. The 18  Table IV : Pearson Correlation Coefficients Taxes + Op Costs Triple Net Rent # Floors Retrofit (1-0) Parking (1-0) Area sf % Vacancy Age of Building Class A Vancouver Class B Vancouver Class C Vancouver Class A Broadway Class B Broadway Class C Broadway Class A Burnaby Class B Burnaby Class C Burnaby Class A North Shore Class B North Shore Class C North Shore  # TaxOp 140 1.00 0.00 140 060 000 140 0.72 0.00 140 -O.20 0.02 140 0.15 0.0B 140 067 0.00 140 -0.14 0.09 140 -016 0.05 24 0.62 0.00 33 0.28 0.00 22 -0.17 0.05 10 0.01 0.90 11 -0.11 0.20  #Flrs 1.00 0.00 -009 027 0.09 0.30 0 92 000 -0.24 0.00 •0.11 0 79 0.74 0.00 0.07 0.13 042 012 -0.42 -0.11 0.00 0.20 0.13 -013 0.13 Off -0.10 -0.16 0.26 0.07  004 -0.12 -0.02 0.75 0.84 -0.14 -0.17 0.10 0.05 -0.39 -0.25 0.00 0.00 -0.09 0.11 0.27 0.20 -0.22 0.01 0.07 0.93 0.05  14  TNR 1.00 000 0.61 0.00 0.07 040 0.40 0.00 067 0.00 0.04 0.67 -0 40 000 0.68 0.00  004 -0.02 0.84 -0.21 0.01 -0.28 0.00 -0.13 0.11 -0.14 0.10  Refit 1.00 000 0.01 0.92 -010 0.24 0.11 0.20 019 002 -0.02 0.84 -005 056 0.17 0.04 -0.06 046 •007 0.43 "7T0T" 0.60  -0.04 0.64 -0.06 0.48 0.03 0.70 -0.04 0.64 0.19 0.02  Prltg 1.00 0.00 0.19 003 0.18 0.03 -0 52 0.00 0.20 0.02  Area 1.00 0.00 -0.23 0.07 -016 005 0.78 0.00 0.01 0.01 092 092 -0.62 -0.21 0.00 O.Of 0.12 -0.07 0.76 0.47 0.13 -0.16 0.74 0.05 -0 13 008 0 73 0.07 -0.01 0.88 0.38 0.11 -0.10 0.18 0.24 0.14 -0.22 0.09 0.01 0.07 -0.10 0.38 0.23 0.06 -0.11 0.45 0.18  %Vac 1.00 0.00 -018 003 -0.20 0.02  Age 100 0.00 -0.17 0.05 012 -0.05 0 75 056 -0.04 038 0.00 0.63 0.03 -0.13 0.74 0.72 -0.10 -0.06 0.25 0.52 -0.05 00T 054 066 -0.05 -0.12 0.59 0.77 -0.08 -O.07 0.35 0.43 0.14 -0.02 0.11 0.77 0.25 -0.14 0.00 0.10 0.03 -0.08 0.72 0.36  AVan 1.00 0.00 BVan -0 25 100 000 000 -0.20 -0.24 0.02 0.00 -013 -0.15 0.74 0.07 -0.13 -0.16 0.72 0.06 —37TT 0.30 0.27 -O.08 -0.10 0.36 0.26 -0.12 -0.15 0.16 0.09 -0.15 -0.19 0.07 0.03 -0.08 -0.10 0.36 0.26 -0.07 -0.08 0.43 0.33  Bold : Correlation > 0.40 Italic ; Probability that correlation = 0.0  Total number of Office Buildings = 140 CVan 1.00 0.00 ABdwy •0.12 1.00 0.00 BBdwy 0 76 -0.13 -0.08 1.00 0.00 CBdwy 0.14 0.34 -008 -0.05 " 3 0 6 1.00 057 0.00 0.33 053 -0.07 -0.05 -0.05 -0.03 0.38 0.58 0.56 0.70 -0.11 -0.07 -O.08 -0.05 0.18 0.39 0.37 0.55 -0.14 -0.09 -0.10 -0.06 0.09 0.28 0.25 0.45 3.07 -0.05 -0.05 -0.03 0.38 0.58 0.56 0.70 -0.06 -0.04 -0.04 -0.03 0.45 0.63 0.61 0.74  ABum 1.00 0.00 BBurn -0.04 1.00 0.60 0.00 CBurn -0.06 -0.09 1.00 0.50 0.30 0.00 ANShr -0.03 -0.04 -0.06 1.00 0.73 0.60 0.50 0.00 BNShr -0.03 -0.04 -0.05 -0.03 1.00 0.77 0.65 0.56 0.77 0.00  Figure 8a. Metropolitan Vancouver, B.C. Office Rents and Operating Costs -1987 Triple Net Rent Asked  Actual Taxes + Operating Costs t  24 office buildings  Vancouver Downtown Class A $0.00  $10.00  $20.00  $30.00  $40.00  33 office buildings  Vancouver Downtown Class B $0.00  $10.00  $20.00  $30.00  22 office buildings Major differences in Triple Net rents to owner, but tenant gross rent approximately equal.  Vancouver Downtown Class C $0.00  $10.00  $20.00  $30.00  Source: Royal LePage, Commercial Real Estate Services, Vancouver, B.C.  Figure 8b. Metropolitan Vancouver, B.C. Office Rents and Operating Costs -1987 Actual Taxes + Operating Costs  Triple Net Rent Asked 26 office buildings  Major differences in tenant Gross rents, but Triple Net rents to owner are approximately equal.  Vancouver Broadway $0.00  $10.00  $20.00  $30.00  8 office buildings  North Shore $0.00  $10.00  $20.00  $30.00  Source: Royal LePage, Commercial Real Estate Services, Vancouver, B.C. 21  variable 'taxes+operating expenses' was strongly correlated with #floors,area, and Vancouver class A, again as Anderson shared earlier. There is thus some a priori expectation of a positive parameter estimate for taxes+operating costs due to the effect of the positive correlation with value adding variables. One would expect lower acceptable rent  levels -a negative sign on the coefficient - if operating costs were abnormally high, relative to other properties with simila amenities. Using all 140 observations, the taxes+operating costs variable had a positive coefficient in the model. This was expected due to the correlations cited above. The location, class, size of building, age, parking and retrofit variables emerged as significant The existence of a retrofit (unspecified as to type of retrofit - architectural and/or mechanical) was significant and had a coefficient of+3.56 $/sf (t*=3.68). Retrofit was also negatively correlated with taxes+operating  costs (-0.20). Although the correlation is not strong, the probability of it being zero was only 2%. Also, triple net rents were higher by $3.56/sf but gross rents were higher by only $2.18/sf. This shows that retrofitted buildings had lower operating costs and higher triple net rents than comparable properties.  Figures 8a and 8b showed that few properties had taxes+operating costs out of line, relative to rents, with market averages. This fact is important because an expected negative coefficient would only occur if a significant variance in relative operating costs existed. Several office buildings in Vancouver C class and Broadway did have low triple net  rents and high taxes+operating costs. These two market areas were tested alone in a regression, but the result were poor. The adjusted R-Squares were less than 0.10, indicating almost no explanation of the variation in the rents. The taxes+operating costs variable did have a negative coefficient, but had a low significance level with a t* of only -0.81. The available variables and number of observations were not sufficient to accurately model the rent levels. Some offices in the Broadway office district have spectacular views of the city and mountains and this information would be important in estimating rent levels.  The hypothesis that the perceived value of office space is proxied better by gross rents than by triple net rents can not be accepted or refuted. Problems with multicollinearity did not allow firm answers to be provided. The gross rents are better modelled using the amenities, but this leads to no firm conclusions about tenant cost concerns. Also, taxes+operating costs were not significant in estimating triple net rents. The results suggest taxes+operating costs have  some influence on rents, but poor results preclude any firm conclusions. Figures 8a and 8b did show that operating costs were fairly consistent across the office properties. This is evidence of an efficient office space market. The variable taxes+operating costs was not significant due to collinearity problems, but also because there were few deviations from the costs which would be expected. 22  3.5  Translating Energy Cost Savings into Increased Lease Revenues Given the results of the analysis, it would be unreasonable to proclaim that a savings in energy costs, espe-  cially a small savings, would translate into an increase in lease revenues for several reasons: i)  Lease contracts may include perquisites valued at up to $30 to $50 /sf - 3 years rent on a long term contract. Inclusion of a $0.10/sf increase would be insignificant  ii)  A small savings per square foot may be difficult to detect in the presence of changing use and operating conditions.  iii)  Tenants would be dubious about a small sustained decrease in energy costs. It could be dismissed as an anomoly.  iv)  Changing weather patterns could mask savings so that tenants might be skeptical of owner claims.  V)  Leasing representatives concentrate on Triple Net rates with less emphasis on operating costs.  vi)  If capital costs -were passed on to tenants, then tenants would have legitimate complaints concerning an increase in rent levels.  The data analysed in the regression studies are more applicable to businesses searching for space than for existing tenants. Location and visible amenities will be most important when businesses evaluate office space alternatives. However, when a business has been in place, and is satisfied with the space, attention will be focused more on the costs of occupying that space. At thattime,the costs of energy and other operating costs paid by a tenant will take on greater importance. A an increase in rent levels with lowered operating costs would then be more likely than in the case of a space search. An office building owner, or their representative, would negotiate rent levels with a tenant when leases expire. In the negotiations, the fact that operating costs have decreased can be highlighted to show the concern of the owner for the tenants space costs. A positive atmosphere in any negotiation process will lead to greater satisfaction for all parties. To translate energy cost savings into increased lease revenues, the cost savings would have to be significant and the savings would have to be sustained - a tenant must be confident that costs have lowered before submitting to higher rent levels. If these conditions were met, then the returns to energy efficiency investments would be significandy improved by the increase in value on the property. A review of empirical savings for energy management projects follows in the next chapter.  23  13  TEA Consulting Group Ltd.. Development and Implementation of a Strategic Plan to Support Savings Financing of Energy Management. Prepared for Energy, Mines, and Resources Canada, May 1985  14  BOMA BC News. June, 1987 - Volume 10, #6.  15  Engineering Interface Limited, Identification of the Energy Conservaton Potential in the Medium to HighRise Residential and Office Sectors. Task 2.1 Buildings Technology Transfer Program (BETT). A project of the conservaton and Renewable Energy Branch, Energy, Mines, and Resources Canada, Oct. 1982  16  The holding period is the length of time which the real estate investment will be owned by the investor.  17  Neter, J., Wasserman, W., and Kutner, M.H., Applied Linear Statistical Models. Richard D. Irwin, Inc., Homewood, Illinois, 1985 - pg. 277  24  4.0 Empirical Studies on Energy Management Investments  A survey of existing literature provided only a limited sampling of case studies with sufficient details of energy  management project costs and savings. Thirty eight (38) case studies for office buildings located in the U.S .A., Canada  Sweden, andFrance were identified. The case studies are all for projects completed prior to 1981. Data from an additiona  nine (9) buildings in Ottawa, Ontario, with actual energy conservation project costs but estimated dollar savings, we received from the Manager, Building Resources, Public Works Canada. These sample Public Works projects were  completed between 1981 and 1986. Table V summarizes the 47 projects. Appendix B contains summaries of the 47 case studies.  For 38 projects, excluding the Public Works projects, an average energy savings of 27.0% was achieved (23.4%  area weighted - in the sample, larger buildings saved more.) Financial rates of return on the projects were not calculate  in any of the studies because only one year of savings was reported in most cases. The reported simple paybacks for th projects were less than two (2) years in each of the 22 buildings which reported project costs and dollar savings.  The most extensive study by Ross and Whalen (1983) reported that the reductions in energy use were maintained for the years following the retrofits and were actually reduced further in many cases.  The Public Works projects (9 buildings) had an estimated average simple payback of 4.6 years, although it w  further estimated that the savings were conservatively calculated. Actual savings in energy use were not available f these office buildings. Before introducing the study buildings and the projects undertaken, a discussion of energy accounting and the  effects of weather follows. Correcting energy use to a standard for comparison is necessary to determine energy and cost savings.  25  [  Table V.  A Survey Of Office Building Energy Management  # Bldgs  Location  Year of Projects  Ontario Research Foundation (1982) Engineering Interface (1983) US Depl of Energy (1983) USDeplof Energy (1983) Public Works Canada (1986)  9 3 14 12 9  Ontario Ontario USA/Swe USA/Fr Ottawa  <1979 1980/81 < 1980 < 1980 1981-86  Totals /  47  Study / Source  Averages  Study / Source Ontario Research Foundation (1982) Engineering Interface (1983) US Dept of Energy (1983) USDeplof Energy (1983) Public Works Canada (1986) Averages  Avg % Energy Savings Area Not Weighted Weighted 32.8% 24.9% 19.1% 23.5% n/a  32.0% 24.1% 24.7% 26.6% n/a  Projects  Gross Fir Area (sq.m.) (sq.ft.)  Energy Use (ekWh/sf.) (MJ/sq.m.) Rnal Initial Initial Final  222,600 189,341 592,531 919,205 306,597  2,395,988 2,038,000 6,377,800 9,894,000 3,300,102  1997 1790 2107 1686 n/a  2,230,274  24,005,891  Total Project Cost ($)  Avg Cost $/sf  Total Simple Savings Payback (years) ($/yr)  $413,000 $1,137,000 $2,406,559 n/a $2,418,935  $0.17 $0.56 $0.38 n/a $0.73  $700,200 $810,600 n/a n/a $526,080  1341 1368 1650 1225 n/a  51.5 46.2 54.4 43.5 n/a  48.0 1383 1862 Excluding public works projects  0.6 see note »1 n/a 4.6  34.6 35.3 42.6 31.6 n/a 35.7  Note  ¥ A  X 0  23.4% 27.0% Excluding public works  NOTES : ¥ Savings and energy use are floor area weighted averages. Projects implemented prior to 1979 A The indicated savings were achieved, on average, 4 years after project implementation. Savings in the first years were not provided. £ Three (3) of the 14 bldgs were located in Sweden. Dollar savings were not provided. Cost figures were provided on a per square foot basis. 0 One (1) of the 12 buildings is located in Paris, France. Cost data and dollar savings were not available for these buildings. Savings are estimates of the energy cost savings. Project costs are actual outlays. For all of the US Depl of Energy (DOE) case studies, costs were provided in 1980 $.  5.0 Energy Use Accounting  5.1  Monitoring Actual Energy Use Before and especially after an energy management project has been implemented, monitoring the building energy  performance is essential. Monitoring serves three functions: to evaluate progress, to show which measures are cost effective, and to show which measures do not work. The results of completed projects will aid in the prioritization of new investments. Calculating the savings will also be an integral part of energy service contracts and shared savings investments. Heating, ventilating, and air conditioning accounts for approximately 50% to 60% of the total energy use in a typical office building , so weather will have a large effect on energy use in any specific building. But, calculating the 18  savings in energy use is complicated by more than changes in weather. Major influences on energy use in office buildings include: the quality of operations personnel, management's commitment to energy issues, tenant mix and occupancy, hours of operation, weather, lighting load, air conditioning, presence of computers, elevators, orientation to sun and wind, type of heating system (heat transfer by air, water, or water and air), efficiency of systems, age of structure, and levels of insulation. Vacancy, does not have as clear an effect on energy use as does, say, hours of operation. Depending on the heating and cooling systems, the weather, and on the thermal resistance of exterior walls, an increase in vacancy may actually cause heating energy use to increase. Electrical energy used by appliances, equipment, lighting, and computers is converted into heat People also provide heat to the space. When space is vacant, these heat sources are lost. Electrical energy should be reduced with increased vacancy, however, not linearly with the square footage. The operation of fans, pumps and central equipment will continue, with minimal reductions due to vacant space. The operation of a fully occupied office building may use energy as shown in Figure 9. Some of the energy loads will be sensitive to weather conditions. For office buildings, the components of Figure 10 may derive from one or more of the following energy users : 19  Energy Type : Non-weather-sensitive fuel Weather sensitive fuel Base electricity Winter extra electricity Summer extra electricity  Energy User: : : :  Domestic hot water, reheat, absorption cooling. Heating, makeup air. Lighing, fans, pumps, office equipment, elevator, domestic hot water, heat pumps, chillers. : Electric heat, longer lighting hours, heat pumps, ramp heating, block heaters, pipe tracing. : Cooling: compressors, cooling tower, fans, pumps, lower occupancy. 27  Electric Power  Vancouver, B.C.  4  o 1» /o  Figure 9. Energy Users in  /o  Edmonton, Alberta  Regina, Saskatchewan  Detailed study of three office buildings [ Vinto, 1980 ] Sources: ORF (1982), and Vinto (1980) In addition to energy consumption, an office building will be charged for peak power use. Power is the rate of energy use and is metered in kilowatts (kW) or kiloVoltAmperes (kVA). Seasonal variations also occur for power 20  demand due to: Winter extra Summer extra  : :  Electric heat, ramp heating, block heaters, pipe tracing. Cooling: compressors, cooling tower  Figure 10. Seasonal Effects on Energy Use Electricity Use  Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec Month Source: Engineering Interface (1982)  Fuel Use  Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec Month 28  5.2  Effects of Weather on Energy Use Heat losses from a building are linearly and inversely related to outdoor temperatures. This linear relationship 21  may not translate into a linear relationship between fuel use and temperature. In a study of energy use in two commercial buildings, Palmiter found that a nonlinear relationship between temperature and energy use was introduced by 22  equipment capacities, manual control of the equipment, multiple modes of equipment operation, multiple types of equipment, and nonlinear equipment performance curves. Some energy use will have a misleading relationship with ambient temperatures. Colder weather (winter) would be associated with fewer hours of daylight, and consequent greater lighting requirements. A statistical analysis may therefore spuriously indicate a stronger relationship between temperature and electrical energy use than actually exists. Some correction for weather must be completed to determine actual energy savings. A widely used measure of temperature patterns is the degree day. Figure 11 illustrates what a degree day is. Figure 11. Illustration of Heating Degree Days D O © O  20  9>15  o  >,>,>,>,>>  co co co co PO D Q Q Q Q O O O O o'  o) oo <o r-. co  CM  18 C Base  s  i  2. 10  18C Base  2 0  1 5  E  S.10  8 o  5 Daily (Max + Min) g 0  Total Degree Days = Shaded Area  E _ .4)  -t—i—i—i-  1 2 3 4 5 6 January Source: Authors illustration  2  1-5  T  1  1  1  1  1  1  1  1  1  Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec Month  As outdoor temperatures fall, degree days increase, so, the higher the degree days, the more the heating energy use. Heating degree days are commonly tabulated with an 18° Cor 65° F base. Figure* 13 is a chart of heating degree 23  days for North American cities, calculated to an 18° C base temperature. Heating energy input may not be required until low outdoor temperatures occur. The temperature at which a building requires no additional heat input or heat removal is known as the balance point. This balance point will vary with internal heat generation and heat loss. Large office buildings may require year-round cooling in the core areas and have balance points below 10° C (50° F). Office buildings with low internal heat generation and greater roof heat losses may have balance points in the 18° C - 20° C (65° F - 69° F) range. 29  Figure 12. Annual Degree C Days Less Than 18°C for Selected North American Cities | Churchill Yellowknife Fort Nelson Alert Whitehorse Saskatoon Regina Winnipeg M Thunder Bay Edmonton Duluth Calgary Quebec  i 9213 8593  5920 5889 5746 5589 5430 5345 5080  i  St. John's E l l Saint John Lethbridge mmm^m^^m^msm^^^^m^ 4>18 Ottawa ."-•^A-."XVsvX" .' X'-.-.v.'-'.O .-.•-•X •sss^<\ss ssZrs.V^.\".\%\V-V4,673 X-. \ 'X " " . " X •.'.•-•-*. *X\ -sss. •. w. " X\ Charlottetown 4,623 Minneapolis 1 4,597 Montreal 4,471 Sydney 4,459 Milwaukee [ J 4,153 Halifax "4,123 Toronto 4,082 Buffalo [ 3,819 Boise [ D 3,153 Vancouver immmmmmmmsiimmm I 3,007 ] 2,819 Seattle C 2,708 New York C 2,597 Kansas City L" Portland L" Z ] 2,486 Washington D.C. C D 2,264 San Francisco C 3 1,597 Canada Las Vegas C I 1,486 United States Los Angeles C 1 1.042 | !  EI  2,000  4,000 6,000 8,000 °C Days less than 18°C (64.4°F) per year Sources : National Building Code of Canada (Supplement), and the American Society of Heating, Refrigeration and Air Conditioning Engineers (ASHRAE)  10,000  18  Cleary (1986), Gardiner (1985) - see bibliography  19  The basic format for figure 11 was derived from Engineering Interface (1982)  20  kVA is the total power generated and includes kW and kVAR. The R in kVAR is 'Reactive' power which is the power used to maintain magnetic fields, such as in motors and fluorescent lighting. The power used to generate the magnetic field is necessary, but not useful power. The ratio kW/kVAR is termed power factor. Electrical utility companies may charge for kVAR or for kW with a penalty for low power factor.  21  Radiation heat transfer is proportional to temperatures raised to the fourth power [T ] but, at temperatures below 100°C, it's effect is small, relative to conduction and convection heat transfers, which are linear with temperature.  22  Palmiter, L.S., and Hanford, J.W., "Relationship Between Electrical Loads and Ambient Temperature in Two Monitored Commercial Buildings", ASHRAE PO-86-07, No. 2  23  Environment Canada offices record daily mean temperatures [ (max + min)/2 ] and summarize heating and cooling degree days from an 18° C base.  4  30  6.0 Introduction to Buildings in the Study Sample Data for energy use and energy management projects were obtained for twelve office buildings in British Columbia, Canada. Table VI summarizes the buildings. The available energy data is shown in table VII, and the retrofit options completed for the properties are detailed in table VIII. Detailed project descriptions are found in Appendix C. Table VI. Buildings in the Study Sample Building Code Location A B C D E F G H I J K L  :  Prov Owner Occupant  Vancouver Victoria New Westminster Victoria Victoria Victoria Victoria Victoria William's Lake Victoria Burnaby Vancouver  B.C. B.C. B.C. B.C. B.C. B.C. B.C. B.C. B.C. B.C. B.C. B.C.  Gov't Gov't Gov't Gov't Gov't Gov't Gov't Gov't Gov't Private Private Private  Owner Owner Owner Owner Owner Owner Owner Owner Owner Tenant Tenant Tenant  Area sq.m. sq.ft. 20,978 5,130 18,362 12,363 2,535 19,679 2,378 22,838 5,250 6,327 7,129 43,720  225,800 55,218 197,642 133,071 27,286 211,818 25,596 245,820 56,509 68,100 76,736 470,586  Pre-Retrofit Energy Use EkWh MJ/sm EkWr 5,649,251 943,262 3,329,658 2,972,492 738,271 6,189,833 1,007,724 7,156,243 1,514,651 2,468,526 4,068,071 23,606,929  969 662 653 866 1048 1132 1526 1128 1039 1405 2054 1944  25.0 17.1 16.8 22.3 27.1 29.2 39.4 29.1 26.8 36.2 53.0 50.2  Internal and confidential sources from 4 B.C. property companies, and B.C. Hydro Buildings A through I are government owned and occupied office buildings. Properties C and D are court houses which have office space within. Buildings J, K, and L are privately owned and tenant occupied office buildings.  Table VTI. Energy Data Available and Project Dates for Buildings in the Study Sample Building A B C D E F G H I J K L  Years of data X X '83 •81 '82 *83 '81 '82 '83 •81 '82 '83 •81 '82 '83 •81 '82 '83 '81 '82 •83 X •82 '83 '82 '83 X X X X X X X X X X  '84 '84 *84 '84 '84 '84 «84 '84 '84  '85 '85 '85 '85 '85 '85 '85 *85 '85 '84 '85 '84 •85 •84 '85  '86 '86 '86 '86 '86 '86 '86 '86 '86 '86 *86 •86  X X X X X X X X X  Project Dates 1985 1985 1985 & 1986 1982 & 1985 Jan - Mar 1985 1983 & 1985 Aug 1984 Mar-Jul 1983,1984,1986 1982 Feb-Apr1986 Jun - Sep 1985 Mar-Oct 1985  '87 •87 •87 Italic indicates incomplete energy data for year  | yr | indicates changes made during year Internal and confidential sources 31  Table VUI. Energy Management Projects Completed in the Study Sample  Retrofit Option Operations & Maintenance Change schedules Energy Mgmt Control System Heating, Ventilating, & A/C Lighting changes Electrical (incl. demand) Reduce air volumes Replace equipment Domestic Hot Water Window  BUILDING A B C D E F G H I  • • • • • •  •  •  •  • • •  •  film  • •  • •  •  •  •  • • • • •  •  •  J K L •  • • • • • • • • • • • • • • • •  •  Internal and confidential sources The government buildings are monitored closely for energy use and energy cost reduction has been a priority since the 1970's with the energy management division of the provincial government property company. The department oversees the energy use and reduction program for over 250 properties, approximately 50 of which are office buildings. The Energy Management Division is concerned primarily with the energy performance of the properties, but also has input into new construction, maintenance, and repair procedures for each property. Consultants are hired for specific projects as required. The three privately owned office buildings do not have energy management departments. Energy consultants are relied upon to provide advice. The property managers are conscious of energy use and cost, but are not active in energy management.  32  7.0 Analysis of Energy Management Projects in the Study Buildings  7.1  Weather Influences In order to analyse weather influences, the balance point for each of the 12 buildings was determined. Daily mean  temperatures were used to calculate the heating degree days (HDD) for base temperatures from 9° C to 20° C in single degree celcius increments. All energy used was converted to equivalent energy units in kilowatthours. The base temperature was determined using a stepwise regression procedure which iterates to find the best fitting model for the data. The equation used was a linear model: Heating Energy =  constant + 6 * (Heating Degree Day)  (1)  The results are shown in Table IX. The heating base temperature for each year and, in brackets below, the number of observations and the R-Square are shown in the table. Appendix C contains charts of heating energy plotted against balance point degree days for each property, as well as detailed project descriptions. The results of the regressions are very good, which confirms that the linear temperature influence in equation (1) is reasonable for the analysis. The RSquare is the correlation between the predicted values from the equation estimate and the observed values. It indicates the reduction in the variation of the energy use when a degree day correction is applied. Only 1 of the 12 office buildings failed to achieve an R-square greater than 0.90 in at least one year. The calculated base temperatures vary greatly from year to year which suggests that either the heating base temperature in each office building varied a great deal from year to year, or that the regression analysis does not account for variables with a major contribution to energy use. One major problem with the data is that for eight (8) of the buildings, the heating energy is provided by oil. The deliveries are made by truck and do not necessarily correspond with the actual energy used in the period since the last delivery. The delivery may leave the tank much less than full. The same procedure was used to establish a cooling base temperature. The results in Table X are not nearly as good. The highest R-square was 0.85, but most R-Squares were much lower. Electrical energy consumption would be dependent more on the tenant usage than on ambient temperature, unless heating is electric. Palmiter found that interior lighting and general electrical energy use showed no relationship with temperature. Lighting in an office building may represent 30% to 40% of the electrical load. In summer, however, air conditioning loads (electric) would vary with cooling degree days.  33  Table DC. Base Heating Temperatures for Buildings in Study Sample Calculated using stepwise regression techniques, which determines best fit for the model: ENERGY = Alpha + B x Heating Degree C Day Building A B C D E F G H J  1981  1982  1983  16° C 18° C 20°C 13° C 11° C 16° C  17° C 15° C 17°C 9°C 13° C 18° C 15° C A  14° C 16° C 19°C 13° C 16° C 14° C 12° C  YEAR  1984  1985  1986  20° C 14° C 18° C 19°C 12° C 17° C 20° C 13° C  15° C 18° C 16° C 15°C 20° C 9°C 15° C 14° C 20° C 20° C 15° C  14° C 13° C 12° C 17° C 14° C 16° C 15° C  K  L  17° C¥  20° C  14° C 18° C 15° C  Bolded temperatures indicated significance at 5 % level. • indicates data not available or too few observations. ¥ indicates only 9 observations. A indicates only 11 observations. (Only 11 observations for ALL 1981) Source: Authors data  Table X. Base Cooling Temperatures for Buildings in Study Sample Calculated using stepwise regression techniques, which determines best fit for the model: ENERGY = Alpha + (ix Cooling DegreeCDay Building A B C D E F G H J K  1981  1982  1983  10°C 10°C 15° C 10° C  10°C 13°C 10° C  10°C  10° C  10° C  18° C  10° C 10° C 10° C A •  L  10°C 10° C 10" C 10° C 16° C 14° C •  YEAR  1984  1985  1986  18°C  18°C  11°C 10°C 10°C  10° C 10° c 10° c  15° C 10° C 16° C¥ 12° C¥  10° C 18° C 18° C 11° C 10° c 10° C 13° C  10°C  10° C 10° C 16° C 10° C  18° C  .  15° C 18° C  10° c 16° C 13° C  11°C 11°C 13° C  Bolded temperatures indicated significance at 5 % level. • indicates data not available or too few observations. ¥ indicates only 9 observations. A indicates only 11 observations. (Only 11 observations for ALL 1981) Source: Authors data 34  7.2  Calculation of Energy Savings Three general methods of calculating energy savings are: i) ii)  no correction - base year consumption less current year consumption, correct heating energy use for degree days, or  iii)  use regression techniques to determine the relationships between relevant variables and energy use.  Table XI shows the savings in each of the buildings using the first method. The first year of available data was used as the Base Year. Method ii was utilized to calculate energy savings for further analysis of project returns. Forecast energy use, beyond the years of data, is calculated using 30 year average degree day measures to the appropriate base temperatures. The correction is done by initially determining the constant and slope in equation 1 for the base year. In the following years, the actual heating degree days, calculated using the same base temperature, are substituted into the equation to get the expected energy use which would occur with no changes in operation. Subtracting the actual energy use from the calculated value yields the savings. Table XII details the energy savings after correction for heating degree days to the calculated heating balance point. 7.3  Financial Returns to Energy Management Projects in Study Buildings  7.3.1 Return Measures The energy management industry has historically used very simple return measures to estimate the return on energy management projects. Clinton surveyed 45 firms and found the following results: 24  Q ? For the top decision makers in your organization who review your energy management recommendations, what are the critical criteria they consider ? (more than one response was permitted) Response: Payback Cost or Outlay Return on Investment Acceptance to occupants Product reliability or risk Image or external comparison Savings Other  Percent: 53 % 27% 20 % 16 % 11 % " 9% 9% 16 %  Because it is often difficult to get sufficient energy use data from energy management retrofits to properly evaluate the financial return, the simple payback is used and widely accepted. Any measure of financial return should include, however, some consideration of thetimevalue of money. The idea that a dollar today is worth more than a dollar tomorrow is not new, but is often not accounted for. The financial return to the energy management projects for each 35  Table XI. Enerqy Savings inStudy Buildings - Consumption minus Base Year (No correction) BLDG Code A B c D  E  F G H 1  1982 Savings EkWh Dollars  1983 Savings EkWh Dollars  -189,551 -64,426 23,597 77,137 825,677 -52,420  ($5,420) -227 ($2,135) 250,146 $239 414,865 $2,204 159,931 $19,000 1,395,833 ($1,328) 425,059 519,537 437,052  $20 $2,817 $11,015 $5,575 $35,138 $12,607 $14,177 $13,404  620,014  $12,560 3,602,196  $94,754  J  K L  I  1986 Savings EkWh Dollars 2,054,952 $37,871 144,304 $3,960 1,540,381 $33,036 787,213 $20,977 67,881 ($1,088) 1,753,554 $36,315 355,767 $11,276 365,733 $14,223 432,753 $15,444 838,140 $19,473 267,929 $8,143 865,805 $27,598 1,518,122 $56,843 4,469,894 $136,406 3,840,436 $113,209 6,361,309 $176,411 13,676,377 $355,492  1985 Savings 1984 Savings EkWh Dollars EkWh Dollars 90,431 $1,470 1,589,838 $31,378 -162,049 ($3,998) -167,222 ($4,438) 385,058 $7,145 709,529 $16,062 329,081 $10,637 378,197 $12,321 107,637 $3,428 -85,887 ($5,443) 1,745,392 $44,812 1,446,828 $30,923 429,950 $14,398 405,681 $13,648 378,551 $17,822 -162,385 $969 536,385 $17,495 460,679 $16,005  Table XII. Energy Savings in Study Buildings - Consumption minus Base Year (Degree C Day Corrected) BLDG A  B C D  E  F G H 1  J  K L  1982 EkWh  • •  -7,565 56,573 84,152 881,976 -30,566 • • • • •  984,571  Dollars  • •  1983 EkWh  •  141,951 ($1,307) 373,833 $1,091 277,679 $2,487 117,901 $20,482 1,267,744 ($810) 384,482 $0 477,823 $0 408,630 • $0 • $0 • $0 $21,943 3,450,043  Dollars  •  $2,616 $2,731 $7,023 $3,498 $32,022 $11,059 $12,490 $13,404  • • •  $84,843  1986 Future 1985 Dollars EkWh Dollars EkWh Dollars EkWh Dollars $1,450 1,704,196 $33,250 1,988,103 $33,973 1,990,670 $31,217 $533 98,473 $3,244 269,655 $7,734 207,160 $6,615 $8,412 813,292 $18,796 1,541,037 $34,210 1,558,026 $32,616 $12,122 586,267 $17,812 699,288 $19,265 715,545 $17,611 $3,449 -27,576 ($2,536) 40,766 ($851) 47,052 ($1,442) $47,413 1,743,250 $39,354 2.114,837 $44,010 2,159,953 $37,121 $13,726 476,796 $14,717 378,944 $10,597 427,779 $10,595 $23,946 384,533 $15,570 790,608 $15,281 653,017 $13,876 $17,495 466,667 $16,005 397,453 $15,444 389,549 $15,300 $1,025 129,408 $4,825 924,714 $22,302 1,233,707 $27,565 • • 203,554 $6,042 640,014 $22,749 660,677 $23,386 • • 1,631,360 $57,253 3,340,157 $105,230 3,609,453 $105,512 4,524,297 $129,569 8,210,222 $224,332 13,125,576 $329,943 13,652,589 $319,971 1984 EkWh 89,186 -680 454,416 390,013 124,374 1,824,608 451,147 624,288 529,421 37,525  office building in this thesis is evaluated using present value techniques. (Appendix D reviews several alternative return measures.) The rates of return are calculated for the entire energy management program including simple maintenance changes which occur prior to major changes in operating hours or equipment. The rates of return calculated will be net present value (NPV), internal rate of return (TRR), and adjusted internal rate of return (AIRR). Energy savings were forecasted for 5 years following the last year of data (1986). The present value (PV) of a project is the value of future cash flows in todays dollars - discounted to the present using a discount rate. The discount rate, or hurdle rate, is the minimum return required for the project The NPV of a project is a dollar amount, found by subtracting the present value cost of the project from the present value of the future cash flows. The IRR is a percentage rate of return which makes the NPV equal to zero (0). The IRR assumes that all positive cash flows will generate this return until the end of a project. For instance, if a project saved $1,000 in the first year of a five year life, and an IRR of 30% is calculated, then that $1,000 is assumed to generate 30% return for the remaining 4 years. To account for a different rate of return on cash flows, an adjustment is necessary. The adjustment in AIRR is a rate of return which cash flows will generate - i.e. a short term savings rate for positive cash flows.  7.3.2 Risk Assessment The two key determinants of future energy savings are the success of a retrofit project and the cost of energy. Figure 13 illustrates the success of the energy management projects in 5 of the 12 study buildings, as measured by the difference between estimated and actual energy cost savings. Differences between estimated and actual energy savings and costs result from a number of factors including: imaccurate estimation of potential savings by technical staff or consultants, changes in marginal energy rates, operators not accepting or even understanding new equipment and procedures, poor installation or initial operating setup of new equipment, and errors in calculating the actual energy savings due to changing building uses, weather patterns, or occupancies. In the study by Ross and Whalen (1983), preretrofit savings estimates were available for 60 buildings, unfortunately, none of which were office buildings. However, for those energy management projects in schools and community centres which had corresponding savings estimates, 60% achieved greater energy savings than predicted, and 40% achieved less. An added risk in the investment decision is that rapid changes in a technology may result in money being better spent at some point in the future. Funds could be invested reversibly in alternative investments until the timing is deemed more suitable. 37  Figure 13. Estimated versus Actual Energy Cost Savings for Office Buildings in the Study Sample $80,000 Actual > Estimated ^ 5 $60,000 c a t v | $40,000 a n I g S $20,000  • •  u  $0  /  $0  V  Estimated J• Actual  $20,000 $40,000 $60,000 Estimated Savings  $80,000  Source: Authors data A building owner faces another risk that energy prices mightriseat a slower rate than inflation, or even fall. Conversely, large increases in energy prices would yield greater savings. Each component of the total risk of the investment may be difficult to assess and this introduces a complication into the investment decision. To account for risk, the discount rate, or hurdle rate, often has an added risk premium.  The unpredictability of future energy prices could, however, actually lead to a reduction in the risk premium, rather than an increase, when considered in a portfolio framework. Cost savings generated by energy management are negatively correlated with the return on the market portfolio . In the case of triple net lease contracts, when vacancies 25  600 500  Natural Gas  1975 level - 100  Figure 14. Relative Price Increases (Canada) Natural Gas, Fuel Oil, Electricity, and Consumer Price Index  400 3 0 0  200 100  Source: National Utility Service (Canada) Ltd. 38  are low owner paid energy costs are low, but, when vacancies rise, and income falls, owner paid energy costs will increase. In this sense, reducing energy costs acts as a hedge against poor markets. As will be seen, vacancies are a significant factor in the returns to office building owners. Since the price of energy stands to affect the success of an energy management program more than any other variable, it is worthwhile to illustrate historic and projected prices. Figure 14 shows the price of electricity, natural gas and oil from 1975 to 1987. The consumer price index is also plotted to show historic inflation rates. Note that the price of electricity has not risen as much as the price of oilrelatedproducts. This will continue if the 1986 projections of the US Deparment of Energy prove true. Figure 15 illustrates the projections to the year 2000 (top bar) in 1986 dollars for electricity, natural gas, and distillate oil. While the price of oil related products is projected to increase, the price of electricity is actuallvprojected to fall in real terms C1986dollars). A project should not rely on increased electrical energy >  costs to ensure a reasonable return. However, these are only projections and, as learned by the 1986 fall in world oil prices should be considered only a best guess estimate. The discount rates used in the analysis herein are 15% and 20%.  7.3.3 Results The financial analysis for each of the office building energy management investments is detailed in Appendix E. The assumptions used in the analysis are included at the beginning of Appendix E. Tax considerations were not included for the 9 government properties. For the 3 privately owned office buildings, taxes were estimated for each of the projects. Additionally, the financial returns are calculated using three different assumptions. The first returns are for the project itself, accounting for all cash flows. The second returns are returns to the building owners with no increases in lease revenues, and the third calculation is returns to the building owner with space leaserevenues(triple net rents) increased  by 60% of the energy cost savings at the time of lease expiries. The 60 % figure was chosen because head leases and long term leases (10 to 30 years) represented roughly 40% of the total space in one of the study buildings. The returns to the building owners were calculated under the assumption that the owner pays all vacant area operating costs. Vacancies are an important part of the return to the 3 privately owned properties. Each had vacancies  in the 20% to 33% range during the years of available data. In the forecast period, these rates were estimated to fall to the 11% to 15% range, based on 1988 market projections.  In Appendix E, the net present value, at a discount rate of 15% and 20%, is shown for each project, as is the interna rate of return. Adjusted internal rates of return were calculated only for the 3 privately owned office properties. 39  Figure 15. United States Energy Price Projections to the Year 2000 Natural Gas Price Projections New England North Attantic MidAtlantic West Midwest South Altlantic Nationwide Central West Central Northwest Southwest  Cost per kWh in year: 2000 1990 1989 1988 1987 1986  $0,010 $0,020 1986 US Dollars per kWh  $0,000  $0,030  Distillate Oil Price Projections New England MidAtlantic 1 West Central" Central South Altlantic } Nationwide Midwest Northwest j North Atlantic | West} Southwest 1  Cost per kWh in year: 2000 1990 1989 1988 1987 1986  $0,010 $0,020 1986 US Dollars per kWh  $0,000  $0,030  Electricity Price Projections New England North Attantic West Midwest Central West Central Nationwide US MidAtlantic South Altlantic Southwest Northwest $0,000 Source:  Cost per kWh in year: 2000 1990 1989 1988 1987 1986  $0,020  $0,040 $0,060 $0,080 1986 U.S. Dollars perkWh  $0,100  "Annual Energy Outlook", item 061-003-00517-9 Available from the U.S. Government Printing Office, Washington D.C. 20402  The before tax cash flows (BTCF) for each property are summarized in table XTH. Table X I V summarizes the after tax cash flows (ATCF) for the 3 privately owned, tenant occupied, office building energy management projects under the three assumptions. The before tax cash flows for the energy management projects in all buildings combined yielded an internal rate of return of 22.1%. This measure includes only 5 years of forecasted savings (to 1991 inclusive). The internal rate of return for all the projects in the government buildings was 16%. With no increase in space lease revenues, the after tax returns to the property owners were all negative. Support was found, however, for the hypothesis that triple net lease revenues increase by at least some of the energy cost savings. If lease revenues increase bv at least some of the energy cost savings, then the returns to a project will compensate the owner for the investment. The after tax adjusted internal rates of return to the property owners in the privately owned. tenant occupied, triple net lease case buildings, were 13%. 31 %. and 68%. These returns were achieved by lower vacant area costs, increased lease revenues when leases expire, and increased value of the building at the time space lease revenues increase. The primary hypothesis, that the returns to investments in office building energy management are sufficient to encourage investment, is concluded, given the resulting average discounted before tax rates of return of 22.1% in the study sample, and significant energy savings in the empirical case studies. This is especially salient in the case of these British Columbia office buildings, since the energy rates in B.C. are among the lowest in North America. The building with the lowest rate of return (-17%) had a pre-retrofit energy use of only 17 EkWh/sf, which is low to begin with. Two of the other three properties with low rates of return had pre-retrofit energy use under 30 EkWh/sf. Also, the price of heating oil dropped by 2 5 % or more in the last year of the analysis which would explain lower returns than anticipated. The building managers for the fourth property with a poor return indicated that other benefits, such as the ability to account for charge backs in energy use and the expression of good faith to the tenants, were the motivating factors in the investment decision. This fourth office building had a high pre-retrofit energy use of 53 EkWh/sf, which does not help to explain the poor results. Discussions with property managers for the study properties indicated that energy savings have increasesd in several buildings with fine tuning of the energy management control systems, but this data was not available at the time of writing. The wide variance in the returns to the twelve projects indicates that energy management can be a risky investment. Prioritizing the projects and completing the most cost effective first would reduce the risk of total project failure. Reducing the risks in energy management is discussed further in the following chapter.  41  The existence of triple net lease contracts does have a negative impact on the decision by private owners to invest in energy management. Most of the annual energy costs savings are foregone, but this study has shown that future building valuation effects are significant and may be sufficient to warrant an energy management investment. If an owner of an office building does not have the power to distribute, or pass through, the costs of the investment, and does not receive the greatest portion of yearly cost savings, the results show that energy management investments can still provide significant after tax returns to that owner. The chief component of this return is the increase in the value of the building when lease revenues increase. Combined with valuation effects, the potential for returns being superior to other common investments, such as stocks, bonds, or real estate, is real and probable. But, because no conclusive evidence was found for the magnitude of these effects, this extension of the primary hypothesis cannot be concluded. A discussion of methods to reduce the barriers andrisksof energy management follows. Table XIII. Before T a x C a s h F l o w s to Projects (No consideration to who receives the benefits)  Bldg.  I  1981  |  1982  |  •  A B C D E F G H 1 J K L  ($13,404)  •  ($14,961) ($546)  • • •  1985  |  ($37,013) ($171,617) ($37,013) ($171,617)  $64,870 ($456,612) $64,870 ($136,578)  • ($3,070) $1,941 ($22,954) •  • ($11,825)  •  • •  ($39,942) ($39,942)  1984  ($3,066) ($87,406) ($2,071) $2,140 $4,459 ($103,156) $7,961 $15,151 $1,203 ($21,282) $39,577 $21,543 ($16,086) $14,205 $16,530 $7,354 $16,364 $14,875 • ($775) • ($123,710) • ($195,549)  •  ALL : GOVT :  |  ($9,000) $412 ($5,422) $4,362 ($648) ($173,914) $10,547 ($10,226) $12,274 • • •  ($1,104)  ($11,030) •  1983  ALL BUILDINGS  Net Present Value (1981) @ 15 % = Net Present Value (1981) @ 20% = Internal Rate of Return  $112,420 $25,183 22.1%  1986 $29,457 ($46,420) $30,257 ($36,446) ($2,897) $27,774 $10,085 $5,765 $14,314 $4,886 $20,949 $97,646 $155,369 $31,888  Forecast A A s at 1st year 1987 to 1991 P V @ 1 5 % IRR $26,701 $5,511 $28,664 $14,950 ($1,988) $32,884 $10,083 $8,960 $14,170 $17,940 $21,586 $97,928  $402 ($24,424) $3,066 $5,529 ($13,458) ($44,511) $31,439 $28,909 $33,013 $49,541 ($37,020) $166,248  15.2% -17.7% 16.6% 20.8% NA 5.7% 120.5% 48.7% 814.6% 1.2% 46.4%  $277,388 $139,934  GOVERNMENT BUILDINGS  Net Present Value (1981) @ 15 % = Net Present Value (1981) @ 20 % = Internal Rate of Return  $10,209 ($31,077) 16.0%  28  Clinton, J.M., Achieving Commercial/Industrial Energy Efficiency in a Market Environment, in ACEEE 1986 Summer Study on Energy Efficiency in Buildings - Vol. 5 : Proceedings from the Panel on Marketing, American Council for an Energy-Efficient Economy, Wash. D.C, 1986, pp 5.20-5.36  29  Sametz, A.W., "Financial Barriers to Investment in Conservation", in Financing Energy Conservation. American Council for an Energy-Efficient Economy, Wash. D.C, 1986, p 133 42  Table XIV.  Benefit Flows to Private Office Buildings  1. After Tax Cash Flows to Project. Assuming owner receives benefit flows (NO increases in lease revenues)  Bldg J K L ALL :  |  1985  1986  Forecast A 1987 A 1988 A  ($3,118) ($2,783) $9,368 $10,207 ($124,890) $13,626 $13,787 $14,432 ($160,975) $112,023 $48,964 $58,032 ($288,982) $122,867 $72,119 $82,671  1989 A  1990 A  $10,190 $14,304 $58,032 $82,526  $10,174 $14,183 $58,032 $82,388  1991 A $11,690 $14,067 $58,032 $83,789  PV@15%  As at 1985 IRR AIRR  $21,040 ($62,448) $85,859 $44,451  104.2% -10.1% 39.5% 21.8%  45.3% -3.3% 20.5%  Net Present Value at 1985 @ 20 % = $10,250 2. After Tax Cash Flows to Office Building Owners. Assuming owner receives vacant area energy cost reductions only (NO increases in lease revenues) Bldg. J K L ALL :  I  1985  1986  Forecast A 1988 A 1987 A  1989 A  1990 A  ($4,190) ($8,278) $2,909 $2,807 $2,297 $1,787 ($124,665) $14,526 $14,687 $15,422 $7,577 $4,240 ($183,876) $72,965 $9,793 $9,865 $8,124 $6,384 ($312,731) $79,213 $27,389 $28,094 $17,998 $12,410  1991 A $2,001 $4,124 $6,384 $12,509  PV@15%  As at 1985 IRR AIRR  ($3,718) ($71,795) ($83,442) ($158,955)  -1.8% -21.2% -19.1% -18.9%  2.3% -7.5% -2.7%  Net Present Value at 1985 @ 20 % = ($161,321) 3. After Tax Benefit Flows to Office Building Owners. Assuming owner receives vacant area energy cost reductions only. (INCLUDING increases in lease revenues and building value) Bldg. J K L ALL :  I  1985  1986  Forecast A 1988 A 1987 A  1989 A  ($4,190) ($8,278) $2,909 $2,807 $2,297 ($124,665) $14,526 $14,687 $15,422 $59,026 ($183,876) $72,965 $9,793 $9,865 $8,124 ($312,731) $79,213 $27,389 $28,094 $69,447  1990 A $62,430 $60,366 $470,636 $593,432  1991 A $128,800 $64,927 $280,715 $474,443  PV@15%  As at 1985 IRR  $70,168 $907 $220,399 $291,474  Net Present Value at 1985 @ 20 % = $182,856  79.5% 15.2% 40.7% 35.4%  AIRR  68.2% 13.0% 31.1%  8.0 Overcoming the Barriers to Energy Management in Office Buildings 8.1  Investment Barriers Two major barriers to investment in energy management common to all building sectors are informational and  financial. Informational barriers are especially significant for smaller firms, where owners and managers may have little experience in energy management and have no in-house technical support. Information transfer to all owners is essential to increase the acceptance and implementation of energy use reduction investments. The transfer methods which were judged most cost effective by the BETT program (ORF(1983)) are: word of mouth, magazine articles, case studies, student training, workshops, and trade organizations. The case studies detailed herein do support the hypothesis that energy management investments can provide significant financial returns. Even with an appreciation of the potential for energy savings, building managers may not have the experience to assess the need for reductions in energy use. This may be a cause of no action, but should not represent a significant barrier to investment. A simple, low cost, ananlysis of energy use can be completed by consultants. But increased awareness must extend beyond the building owner and manager. Tenants may perceive an investment in energy management to be highlyrisky,but there are methods of substantially reducing therisk.Tenants may also equate energy management with a sacrifice in comfort or health safety. Office environments can, however, become healthier with more efficient equipment and operating procedures. Financial barriers are also more prevalent for smaller firms. Access to funding is often restricted and cost reduction programs, such as energy management, usually have lower priority than investments which increase revenue. Consequently, capital budgeting would often exclude energy use reduction investments. Larger firms may have in-house technical staff, which would reduce the information barrier and increase the liklihood of researching financing options. Other barriers specific to the commercial building sector include the existence of triple net leases and short term leases. As has been shown, triple net lease contracts reduce the incentive for office building owners to invest in energy management. Although an owner or manager can negotiate, with tenants to have the capital costs of an investment passed on, in a building with short term leases or a great many tenants, this may not be practical due to limited manpower.  44  8.2  Overcoming The Barriers A number of innovative financing methodologies are available to have energy management costs become an  operating expense, which can then be passed on to the tenants, who will benefit from energy savings. The financing can be structured so that energy cost savings exceed ongoing finance charges. Innovative financing also solves problems for building owners who have capital constraints. In an efficient office market, these options will be utilized to reduce energy consumption when alternative methods are not practical. In a competitive market, high operating costs will eventually affect the financial retursn to an office building investment due to vacancies and less than optimum rent levels. The following alternatives overcome the main barriers to investing in energy management: i)  Leasing of equipment and services All the capital costs of an investment can be covered with a lease. Whereas interest on debt may not be considered a legitimate operating expense for an owner, lease payments would fall into this category because the lessor retains ownership of the equipment. Capital depreciation and any tax credits will accrue to the lessor and, consequently, the financing charges may be lower than typical loans available to the lessee (property owner). Consulting fees to analyse and design an energy saving investment can be included in the lease package.  ii) Energy Service Companies (ESCO's) Again, in a contract with an ESCO, no capital investment is necessary. In addition, the risk of the project may be reduced significantly by guarantees, and the technical expertise is included and readily available from a single source. It should be noted, though, that with reduced risk, an owner must expect a reduced return to the investment. The ESCO also has an incentive to achieve energy savings to increase its' financial return. Problems may arise due to redueced flexibility for the owner regarding operating conditions and hours, and the contract may extend over a period of 7 years for larger projects. Energy savings are usually calculated using some form of ambient temperature correction (usually degree day) and operating conditions correction. Several contract types are available with energy service companies: a) Shared savings The savings from the energy management project would be shared between the ESCO and the energy user on a set schedule. b) Chauffage The ESCO pays the utility charges and is reimbursed by the building owner at a prescribed percentage 45  of pre-retrofit energy costs. For example, a user may pay 90% of previous energy costs to the ESCO. Any savings greater than 10% would be realized by the ESCO. c)  First out In this arrangement, the ESCO receives 100% of the savings for a period sufficient to cover the cost of the project, including consulting fees, equipment costs,financingcharges, and markup. A maximum duration is usually specified.  An ESCO will only be interested in pursuing a project if the potential savings exceed a minimum amount, usually $50,000 to $100,000. If this represents a 20% savings, then the building would have to be spending a minimum of $250,000 per year to be worthy of consideration by an ESCO. With any of these options, the cost of the project is paid by the tenant through regular monthly charges, most often less than previous costs. There are advantages to each and which one is best depends on the expertise and desires of the building owner. Table XV summarizes the features of each. Table XV. Features of Leasing and Energy Service Company Contracts Services & Financing Audit Design Financing Equip purchase & install Maintenance Project Management Fuel &' energy supply  Lease  Shared/First out  Chauffage  •  • • •  • • •  •  • • •  • • • •  Technical Risk Avoided Equip does not perform Equip not appropriate or improperly installed Not properly maintained Equipment obsolete •  • • • •  • • • •  Financial Risk Avoided Energy prices fall Capital costs increase Project cost overruns  • • •  • • •  •  •  Operating Risk Avoided Occupancy, or other, declines and also energy use  •  ** Note that with triple net rents, the risks with an equipment lease are passed on to the tenant because they pay the utility charges. Source: Rosenberg (1984) 46  9.0 Summary, Implications, and Future Work The results of this research show that benefits of energy management investments extend beyond yearly cost savings and improvements in equipment control. While the extent of building value increases was not quantifiable, the fact that cost reductions should have this impact is important. The variance in the rates of return to the energy management projects illustrates the fact that energy management projects can berisky.However, when combined in a portfolio framework, as is done with public sector programs, the risk is largely reduced. In addition, the returns from energy management to building owners of net lease contract buildings will be negatively correlated with the profitability of the building, (decreased revenue and increased energy savings when vacanciesrise),which reduces the negative aspects of the risk. The implications of this work is that energy management investments are worthwhile and often very profitable, but must be considered carefully on a building by building basis due to the potential for failure. It is hoped that this work expands the understanding of the effects of energy management on office building value, and illustrates the problems of triple net lease contacts. Building value effects were addressed in very few energy management case studies and reports researched for this work. A conclusion of this author is that information transfer to building owners and managers, and especially the technical community, should include both the technical aspects of energy management and real estate considerations.  Professionals selling or acquiring an energy management product or service should be aware of these  valuation effects to increase the acceptance of energy management in office buildings. The weaknesses of this work include the inability to directly quantify valuation effects and the poor relationships found between operating costs and rent levels. Also, theriskelements within the paper were addressed in a cursory fashion. Future work which would determine the appropriate discount rates for assessing the merits of an energy management project would be beneficial to both the technical community and to building managers. To complete an ideal analysis, examination of many energy management programs would be necessary. Energy cost savings, project costs, consulting fees, manpower costs, insurance, maintenance savings, repair cost savings, weather and vacancy effects, and building net income increases should all be considered in the analysis. Examination of actual net incomes and disposition prices of efficient office buildings would provide valuable insights into the true valuation effects of reducing operating costs - a difficult task considering the paucity of conventional energy management case studies and the proprietary nature of office building cash flows.  47  Bibliography  American Society of Heating, Refrigeration and Air-Conditioning Engineers, Inc, 1980 Systems Handbook. Atlanta, Georgia, 1981. 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Palmiter, L.S., and Hanford, J.W., "Relationship Between Electrical Loads and Ambient Temperature in Two Monitored Commercial Buildings", ASHRAE PO-86-07, No. 2 R. Levin, Statistics for Management Prentice Hall, Inc., New Jersey, 1981. Rosenberg, M., Performance Contracting For Energy Efficiency: An Introduction With Case Studies. (Final Report"). Technical Development Corp. Boston, Massachussetts, January, 1984.119p. NYSERDA-84-2. NTIS Microfiche # PB84-186725. Ross, H., and Whalen, S., "Buidling Energy Use Compilation and Analysis (BECA). Part C: Conservation Progress in Retrofitted Commercial Buildings," Energy and Buildings. 5 (1983) pp 171-196 Sametz, A.W., Financial Barriers to Investment in Conservation, in Financing Energy Conservation. American Council for an Energy-Efficient Economy, Wash. D.C., 1986, pp 95-135 SAS Institute Inc., Statistical Analysis System User's Guide: Statistics. 1982 Edition. Cary, NC (USA). 1982. 584p. 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(Technical Note (Final')'), National Bureau of Standards, Washington, D.C. National Engineering Lab., March, 1983. 130 pp. NTIS MicroFiche: PB83-214692. Turner, W.C.(editor), Energy Management Handbook. John Wiley & Sons, New York, USA. 1982. Vinto Engineering Limited, Energy Conservation in Office Buildings : Review of Canadian and U.S. StudiesSurveys. Programs and Publications. Conservation and Renewable Energy Branch, Energy, Mines and Resources Canada. March, 1980. White, K., Horsman, N., SHAZAM: The Econometrics Computer Program - Version 5. User's Reference Manual. Department of Economics, University of British Columbia. October, 1985. XRG Consultants, Inc. XRG E-Trap 1.20 - Energy Summary Report 1986 : Office Building Database. Surrey, B.C., November, 1987.  Appendix A. Canadian Energy and Power Pricing  Electricity Prices 1987  Power Demand Prices October, 1987 f Vancouver, B.C. Calgary, Alta. Regina, Sask. Winnipeg, Man. Toronto, Ont. Montreal, Que. Saint John, NB. Halifax, NS. Charlottetown, PEL St. John's, Nfld. 12  8  0.02  4  0.04  0.06  0.08  $ per EkWh  $ per kW (kVA)  Contract Prices - # 6 Fuel Oil October 23,1987  Contract Prices - # 2 Fuel Oil October 23,1987 Vancouver, B.C.  mmmmmmmmmmmmmmz  Calgary, Alta. Regina, Sask. Winnipeg, Man. Toronto, Ont. Montreal, Que. Saint John, NB.. Halifax, NS. Charlottetown, P E L . St. John's, Nfld. 0.02  0.015  0.01  0.005  0.01  0.015  0.025  $ per EkWh  $ per EkWh  Natural Gas Prices October, 1987 Vancouver, B.C. Calgary, Alta.  Source: Local utility pamphlets and refined fuel reports provided by:  Regina, Sask. Winnipeg, Man. Toronto, Ont. Montreal, Que. Saint John, NB.  National Utility Service (Canada) Ltd.  Halifax, NS. Charlottetown, PEL St. John's, Nfld. 0.005  0.01  0.015  0.02  $ per EkWh  52  Appendix B. Energy Management Case Studies  Office Building Energy Conservation Projects completed by PUBLIC WORKS CANADA Ottawa, Ontario  Bldg  1  Area Project Type of sq.m. Complete Project  40,064  2  38,322  3 4 5 6 7 8 9 9  100,191 9,524 17,830 35,747 2,564 19,503 42,852 306,597  1981 1986 1983 1984 1984 1984 1985 1986 1983 1984 1983 1982  HO  Project Cost  $63,867 195,579 $422,000 545,582 HOC $347,000 328,722 HOC $202,700 378,433 HE $201,000 131,507 • RO $23,800 OT E $604,500 240,227 HOE $100,000 51,811 HC $212,348 245,743 T $63,000 58,431 OH $113,651 147,989 HC $65,069 261,471 $2,418,935 2,585,495 A  TYPES OF PROJECTS :  O R A H  ESTIMATED Yearly Savings Natural Gas Electricity TOTAL Dollars Based on Simple ( cu.m. )-->( EkWh )| ( kWh ) ( kW ) ( EkWh ) ( Can. $ ) Rates of : Payback • 2,024,047 369,000 2,393,047 5,646,228 (44,477) (1,538) 5,601,751 3,401,944 330,653 1,740 3,732,597 3,916,403 77,459 3,993,862 • 1,360,966 191,611 1,552,577 • 1,300,000 1,560 1,300,000 2,486,109 922,644 3,408,753 • 536,192 80,970 617,162 • 2,543,194 323,948 2,867,142 • • 604,702 604,702 • 1,531,538 282,875 1,814,413 • 2,705,963 2,705,963 26,757,288 3,834,683 1,762 30,591,971  Reduction in equipment operating hours Reduction in air quantities Air conditioning or chiller modifications Heating and ventilating equipment modifications  E C T  $34,458 $78,166 $71,536 $60,583 $24,264 $46,514 $68,980 $10,868 $48,823 $9,290 $32,044 $40,554 $526,080  1981 1986 1983 1984 1985 1984 1985 1986 1983 1984 1983 1982  1.85 5.40 4.85 3.35 8.28 0.51 8.76 9.20 4.35 6.78 3.55 1.60 4.60  Energy management control systems Controls other than computer based Heat recovery  NOTES :  •  All dollar savings shown are calculated using energy rates from the year noted to the left of the $ figure. Actual energy savings were not available. Estimated savings are shown. The "simple payback" shown for the total of all projects is not an accurate measure due to different years and rate structures. It is shown to provide a ROUGH performance estimate of the total investment. Totals and simple paybacks are shown for comparative purposes only.  SOURCE :  Mr. Ludwig Cyfracki Manager, Building Resources Plant Engineering Public Works Canada National Capital Region  "...we are unable to provide you with meaningful energy usage data before and after retrofit due to the fact that full implementatin of each change took considerable time, during which, there were numerous changes in loads, occupancy patterns, working hours, operational requirements and procedures, etc. We are confident, however, that the given estimated energy savings are not exaggerated. They have been computed very conservatively and we expect the actual savings to be higher than estimated."  I  Energy Management Study - Ross and Whalen (1983) - U.S. Dep't of Energy  Bldg  Location State 68 New York NY 70 New York NY 69 New York NY 71 New York NY 72 New York NY 85 Rock Springs MD 74 New York NY 83 New York NY 73 Hartsdale NY 64 Stockholm SWE 88 Columbus OH 65 Stockholm SWE 206 Austin TX 63 Stockholm SWE 109 Newark NJ 108 Newark NJ 117 Charleston WV 110 Newark NJ 61 Paris FR 37 Houston TX 118 Charleston WV 107 Newark NJ 85A Tucker GA 119 Charleston WV 35 St. Paul MN 36 Atlanta GA 25 <- # buildings #  Area 1000's sq.ft. 1500 449 589 448 412 136 141 1482 48 452 222 183 219 97 650 2077 227 1268 988 578 88 1527 251 1079 840 320 16,272  Annual EkWh per Square Foot BEFORE AFTER Elect. Fuel TOTAL Elect. Fuel TOTAL Saved 16.6 35.2 51.8 16.1 31.4 47.5 4.3 16.5 28.7 45.2 16.0 25.2 41.2 4.0 17.1 32.8 49.9 15.8 27.8 43.6 6.3 10.4 24.9 35.3 7.9 22.9 30.8 4.6 13.9 31.7 45.6 13.8 25.2 39.0 6.5 • • 23.9 23.9 19.6 19.6 4.3 51.5 47.5 99.0 49.1 39.3 88.4 10.6 13.9 36.6 50.5 13.0 24.9 37.9 12.6 19.7 19.3 39.0 14.6 11.4 26.0 13.0 5.6 14.7 20.3 5.4 9.4 14.8 5.5 49.0 122.5 171.5 27.0 82.1 109.1 62.4 6.6 12.0 18.6 6.6 3.2 9.8 8.8 30.7 146.5 177.2 19.9 72.4 92.3 85.0 • • 2.1 12.6 14.7 8.4 6.3 3.8 32.2 36.0 4.1 30.8 34.9 1.2 4.7 20.8 25.5 4.8 19.1 23.9 1.7 • • 30.2 30.2 28.1 28.1 2.1 9.1 31.4 40.5 8.3 29.3 37.6 2.9 9.1 13.5 22.6 7.6 8.5 16.1 6.5 • • 65.2 65.2 45.3 45.3 19.9 20.3 19.3 39.6 18.8 8.5 27.3 12.3 23.7 41.0 64.7 20.3 23.4 43.7 21.0 • • 35.1 35.1 21.5 21.5 13.6 25.0 34.3 59.3 22.6 11.4 34.0 25.3 18.3 32.2 50.5 11.5 16.1 27.6 22.9 40.5 16.7 57.2 26.6 4.4 31.0 26.2 47.8 Area-wtd avg 35.9 11.9  %  8.3% 8.9% 12.6% 12.9% 14.4% 18.0% 10.7% 25.0% 33.3% 27.0% 36.4% 47.2% 47.9% 43.0% 3.2% 6.5% 7.0% 7.0% 28.7% 30.5% 31.1% 32.4% 38.7% 42.6% 45.4% 45.8% 21.8%  SOURCE : Building Energy Use Compilation and Analysis (BECA) Part C: Conservation Progress in Retrofitted Commercial Buildings Howard Ross and Sue Whalen Buildings Division, Department of Energy, Washington D.C. 20585, U.S.A.  Cooling Simple Paybk Cost of Retrofit ° Day (yrs) $/sq.ft. (1980$) (>50 F°) <1 0.02 $30,000 3653 <1 0.05 $22,450 3653 <1 0.06 $35,340 3653 <1 0.06 $26,880 3653 <1 0.06 $24,720 3653 1-2 0.38 $51,680 4237 <1 0.56 $78,960 3653 1-2 0.56 $829,920 3653 <1 0.56 $26,880 3653 • 0.75 $339,075 159 <1 0.79 $175,222 3183 • 1.02 $186,660 159 • • 1.28 $280,320 • 3.08 $298,452 159 • • • 3533 • • • 3533 • • • 3750 • • • 3533 • • • 193 • • • 7150 • • • 3750 • • 3533 • • • 4880 • • • 3750 • • • 2575 • • 4880  Heating Day (<60F° ) 3739 3739 3739 3739 3739 3182 3739 3739 3739 7832 4513 7832 1737 7832 3911 3911 3500 3911 4986 684 3500 3911 2189 3500 6842 2189 0  FROM : Energy and Buildings, 5 (1983) 171-196  Energy Conservation Performance : Office Buildings In Southern Ontario Case Studies by Ontario Research Foundation  Case Owner Study 1 Public Public 2 3 Public Public 4 Public 5 6 Public 7 Private Private 8 9 Private TOTALS Average  Occupanl Owner Owner Owner Owner Owner Owner Tenant Tenant Owner  Energy Use Energy Use % (ekWh/sf.) (ekWh/sq.m.) Building Area Final Saved Final Initial Initial (sq.m.) ( sq.ft. ) 32 39% 145,309 346 52 13,500 563 15% 32 38 184,058 348 17,100 410 55 11 % 595 62 78,575 665 7,300 48 14% 55 14,700 158,226 595 512 50% 22 45 385,339 239 35,800 480 29 40% 315 48 14,000 150,691 522 38 29% 55 728,699 587 414 67,700 33 55% 74 358 7,900 85,033 798 • • • • 35% 44,600 480,059 32.8% 35 52 373 222,600 2,395,988 555 24,733 266,221 Area weighted averages  NOTES Does not include outside consulting fees. il Estimated costs and savings. One (1) year into program a 2 5 % reduction A had been attained, due mainly to reduced lighting levels. A combined expenditure of $60,000 is cited for these two buildings. ¥ Energy use not available. §  Project  Time  N  Cost Frame O ($) Years T $27,000 2 E 1 $27,500 S^ 2 $1,900 Minimal 2 n $44,600 2 2 $132,000 A $60,000 2 ¥ 3 $60,000 4 $120,000 $413,000  Yearly  Simple  Retrofit  Savings Payback Measures (see notes) ( $ ) (years) $26,000 1.0 RSTE $17,900 1.5 STELM $6,300 0.3 RSTELM $10,000 RSTLM • $100,000 0.4 RSELM $70,000 1.9 E L $125,000 <0.5 TEL $45,000 <1.3 TEL $300,000 0.4 R S T E LA $700,200 0.6  Retrofit Measures R Reduction in air volumes S Shut-down after hours T Temperature setback E Equipment Modifications Lighting : L Lighting levels reduction A After-hours shutoff Operations : M Maintenance rescheduled HVAC :  SOURCE : ORF (1982) Energy Conservation in Office Buildings : A Case Study Analysis of Conservation Practices in Office Buildings A Project of the Conservation and Renewable Energy Branch, Energy, Mines and Resources Canada By : Energy and Combustion Systems Division Department of Engineering and Metallurgy Ontario Research Foundation March, 1982 Projects all completed prior to 1979  Case Studies of Energy Management Programs by Engineering Interface - A Consulting Firm in Metropolitan Toronto, Canada.  Building Toronto City Hall Bell Canada Centre Toronto Star Building Totals  Sq. m. 66,892 71,537 50,912  Area  Sq. Ft. 720,000 770,000 548,000 2,038,000  Date 1981 1978 1980  Energy Initial 52.7 31.8 57.7 46.1  Use Final 39.9 21.8 48.2 35.3  Date 1986 1982 1983  Project Cost $732,000 $300,000 $105,000 $1,137,000  Savings % Energy $/year 24.3% $410,000 31.4% $166,600 16.5% $234,000 24.9% $810,600  Sources :  Engineering Interface Ltd. Newsletter, November, 1983 and March, 1983 Engineering Interface Ltd. Case Study - "Energy Management at Work" - Toronto City Hall  Contact:  Engineering Interface Ltd. 2 Sheppard Avenue East, Willowdale, Ontario M2N5Y7  Appendix C. Detailed Project Descriptions for Energy Management Projects in Study Buildings and Charts of Heating Energy Versus Balance Point Degree Days  Office Building 'A' Pre-retrofit 600  Q  O Post retrofit  T  500 +  a y  400 +  per  300 ••  M  200 4-  n  t h  S  oo  100 •• o° o A . Q>  50,000  PROJECT/activity  100,000 150,000 200,000 250,000 Heating Kllowatthours (EkWh) per Month  Installed Date  Consulting - Walk-thru Od-83 -Audit Oct-83 Mechanical room vent unit control 1985 Parkade exhaust control 1985 DHW recirc pump control 1985 Parkade lights 1985 Stairwell lights 1985 lobby and hallway lights 1985 Lobby and exterior lights 1985 Evaporative cooling 1985 1985 EMCS 1985 Reduce fan capacity 1985 TOTALS  Installed Cost $1,000 $8,000 $150 $3,000 $1,000 $1,290 $450 $2,250 $1,000 $5,000  Estimated Savings  $80,000 $22,000  $100 $900 $530 $420 $270 $1,125 $285 $7,500 $6,000 $27,500 $8,000  $116,140  $52,630  Office Building 'B' O  1981 350  Jan "82 to Jun'85  A  Jul "85 to Nov'86  T  300 •• 250 ••  o o o o . o o  200 •• 150 •• 100 ••  o  At  o o  O  50 •• 0 £)0  CO i 20,000  I  1  1  1  40,000  60,000  80,000  100,000  Heating Kilowatthours (EkWh) per Month  PROJECT/activity  Installed Date  Installed Cost  Consulting Consulting Consulting EMCS  Jul-83 Feb-81 Nov-84 Sep-86  $1,100 $12,300 $1,500 $53,050  TOTALS  $67,950  1  —  120,000  Office Building ' C Pre-retrofit 600  O Post-retrofit  T  D  500 • •  a y  400 • •  per 300-M o  200 • • (  100--R  n  t  h  0  .oW_o-?.* 50,000  100,000  150,000  200,000  Heating Kllowatthours (EkWh) per Month  PROJECT / activity  Installed Date  Consulting Oct-83 Consulting Feb-85 Consulting 29645 Consulting 29737 Consulting 29737 EMCS c/w DDC 1985 Evaporative cooling - direct 1985 Shut down 1 transformer 1985 Lighting 1985 Modify AHU 15 1986 TOTALS  Installed Cost  Estimated Savings  $4,200 $2,000 $3,000 $2,000 $2,000 $85,000 $5,500 $500 $15,000 $3,000  $12,400 $4,000 $5,700 $5,000 $2,000  $122,200  $29,100  Proposal document Evaporative cooling pressurization - Problems + Maint. savings of $8,000 p.a.  +$8,000 Maintenance  Office Building 'D' •  Pre Retrofit  O  Time Clock on Fans  A  Post Retrofit  500  O Oo  450  D a y  400  per  250  M o n t h  o  A AO  350 300  •%8 6-  200 150  0  g o  OO  COo O  AO  <8>  100 50  o,  .  1 —  1 —  50,000  100,000  150,000  200,000  250,000  Heating Kilowatthours (EkWh) per Month  PROJECT / activity  Installed Date  Installed Cost  Time Clock on fans Consulting Consulting EMCS  1982 Feb-81 Nov-84 Sep-86  $1,500 $12,300 $1,500 $53,050  TOTALS  $68,350  300,000  Office Building ' E ' Pre Retrofit 500  O  Post Retrofit  T  450 ••  D a y  per M o n t h  400 ••  i  • o  350 •• 300 •• 250-  o •  200 •• 150 ••  100 5 50  8  o9-  110,000  120,000  -r30,000  -r  40,000  i50,000  60,000  i70,000  Heating Kilowatthours (EkWh) per Month  P R O J E C T / activity  Installed Date  Installed Cost  Consulting : Dvlpm't of control strategies Consulting Consulting : Justification of EMCS Consulting : Complete EMCS Concepting 50% RH &Temp Control EMCS  Jul-83 May-86 Aug-83 Aug-84 Mar-85 Jan-85  $1,100 $1,500 $2,500 $1,700 $900 $15,600  TOTALS  -  $23,300  80,0  Office Building ' F ' Pre Retrofit  O Transition 1  A Post Retrofit 1 • Post Retrofit 2  400 350  D a y  300  o o  250  M  150  O  100  n t  h  A  •  per 200 ^  50 •  A  • L j  Td'a  •  A  o  O •  o  A  0 •—=—o p.o-°-?-i-5. 50,000 100,000 150,000 200,000 250,000 300,000 Heating Kilowatthours (EkWh) per Month  Installed PROJECT / activity Date Consulting Jun-82 Consulting Aug-82 Consulting Mar-82 Consulting Aug-82 Consulting Jan-Dec 83 Consulting Jun-84 Consulting Jul-84 Consulting Jul-84 Consulting Jan-86 Consulting Jun-86 Consulting May-85 Consulting Aug-85 Consulting Mar-86 Radiant panel control valves 1983 Control valves - Pandora wing 1983 Delamping 1981-1983 Econowatt lighting 1982 Pot lighting reflectors 1982 Return air fan shutdown 1983 Off peak power 1983 Electric demand control 1983 Combine entrance htr & VAV-Pandora 1983 Repipe controls to sequence mixed air 1983 cooling economizer control changes 1983 General optimization 1983 EMCS 1983 Rewrite control strategies 1985 Add 10 sensors 1985 Add points to improve chiller pumping 1985 TOTALS  Installed Cost $3,000 $8,900 $1,200 $4,000 $1,650 $500 $1,500 $1,600 $5,000 $2,000 $2,175 $1,500 $5,000 $42,000 $19,800  Estimated Savings  $21,500 $600 $7,000 $39,000 $20,000 $1,000 $1,200 $50 $10,000 $60,000 $3,000 $2,400 $4,500  $8,000 $230 $3,400 $9,370 6140 0-750 0-1900 $350 $4,500 $20,350  $270,075  $79,940  1—  350,00  EMCS Proposal SUMAC Reports EMCS Energy review/ Comfort study Electrical & Lighting Upgrade Software $21,000 $6,600  64  Office Building ' G ' Pre Retrofit 450  o  400 350  O Post Retrofit  o o o  cP  300 oo o> S o  250 200  oo o e  150 100 50 9 P, 0  do  o  20,000  40,000 60,000 80,000 100,000 Heating Kilowatthours (EkWh) per Month  PROJECT/activity  Installed Date  Installed Cost  Consulting EMCS Software  Apr-84 Aug-84 Aug-84  $1,500 $26,000 $1,800  TOTALS  $29,300  Office Building 'H' 1982  O  1983  A  1984  •  1985  *  1986  400 350  D a y  300 250  per 200 M o n t h  AO  150 100 50  A rP AQ °  A CO  Errors suspected in oil delivery timing. (1984, 1985)  4 O  0 X (•-•A.  -t200,000  -t-  100,000  300,000  400,000  500,000  Heating Kilowatthours (EkWh) per Month  PROJECT/activity Consulting Parking lighting cost-benefit study Audit Bldg Energy Payback Evaluation Rpt Lighting I HID lighting design Light fixture test Interconnect air systems Exhaust/infittration study Automatic Chiller By-Pass Relief air dampers aupply air systems Energy Performance and Occ. Comfort Parking lighting TOTALS  Installed Date  • Mar-83 Jun-83 Jun-83 Jul-83 Dec-83 Apr-84 Dec-84 Feb-85 Od-85 Jan-86 Jan-86 Jan-86 Apr-86  Installed Cost $6,000 $1,500 $10,000 $1,200 $1,300 $800 $500 $2,000 $1,800 $1,500 $400 $350 $5,000 $1,700  Estimated Savings  Air Quality - related to energy mgmt Air Quality - related to energy mgmt Air Quality - related to energy mgmt  $34,050  66  Office Building Pre Retrofit  °c  1100 i  D a y  800 •  per M o n t h  T  O Post Retrofit  1000 • 900 •  600 •  o  500 • 300 • 200 •  • 8o° °  100 • oo 0  »oo° o  8  400 •  • o^ ~ o • w  20,000  o o  o  o •o o©  700 •  o  8  oo  40,000  60,000  80,000  100,000  120,000  Heating Kllowatthours (EkWh) per Month  PROJECT/activity Consulting Delamping corridors Selective delamping Reduce HVAC operating hours Maintenance Preheat / reheat Chiller controls Exhaust heat recovery Parkade block heaters  TOTALS  Installed Date  Installed Cost  Estimated Savings  1981 1982 1982 1982 1982 1982 1982 1982 1982  $9,900 $1,800 $4,320 - . $600 $3,000 $975  $720 $2,720 $2,674 $1,976 $650 $780 $1,445 $1,200  $20,595  $12,165  Office Building ' J ' •  Post Retrofit  O Pre Retrofit  700 j  D a y  per M o n t h  600 ••  o o  500 ••  O o  400 ••  o  300 •• 200 •• 100 •• 0 •-  o o o  -r-  50,000  100,000  1-  -r-  150,000  200,000  Heating Kilowatthours (EkWh) per Month  PROJECT / activity  Consulting EMCS Valve installation Start-up Ductwork changes Air rebalancing TOTALS  Installed  Installed  Date  Cost  < Feb 1986  Feb-Apr1986 Feb-Apr1986 Feb-Apr1986 Feb-Apr1986 Feb-Apr1986  $5,600 $37,000 $3,000 $2,600 $2,100 $3,300 $53,600  Office Building 'K' •  °c  600 i  D a y  500 •  O Post Retrofit  O  •  400 •  per 300 • M o n t h  Pre Retrofit  O  •  200 • 100 •- o o u• (3  o •  •  •  *  • o o  •  O  o ° o O °  _o • o o  1 i 50,000 100,000 200,000 150,000 Heating Kilowatthours (EkWh) per Month  PROJECT / activity  Installed Date  Consulting <Jun1985 Electrical Work Jun-Sep1985 EMCS Jun-Sep1985 Mechanical Work Jun-Sep1985 Relamping Jun-Sep1985 Balancing Jun-Sep 1985 Start up & commissioning Jun-Sep 1985 Construction changes Jun-Sep 1985 Documentation & orientation Jun-Sep 1985 Energy service company mark-up Jun-Sep 1985 TOTALS  G o  •  •  Installed Cost  Estimated Savings  $10,000 $14,043 $24,930 $33,896 $10,000 $7,800 $2,500 $7,485 $2,000 $16,648 $129,302  $30,000  69  Office Building Pre Retrofit 600  D  T  500 • •  a y  400 • •  per  300 ••  M O  200 • •  n  t h  O Post Retrofit  o  <b  o  100 •• CO 250,000  500,000 Heating  750,000  1,000,000  Kllowatthours (EkWh)  PROJECT / activity  Installed Date  Solar Film installation  Mar-Oct 1985  1,250,000 per Month  Installed Cost $252,802  1,500,000  Appendix D. Alternative Measures of Financial Return  1)  The Simple Payback Simple paybacks determine the number of years required for the invested capital to be returned from  before tax cash flows:  Net Investment ($) Simple Payback =  Net Annual Before Tax Cash Flow ($) i  $100,000 : $50,000 per year  a  i.e.  o 2 years  Simple paybacks do have some advantages over more complicated measures. A fast cursory risk assessment is possible by altering either the estimated initial costs, or the estimated future costs. Simple payback is well understood and easy to quantify, but the financial return is hidden. The time value of money is not considered and cash flows following the payback period are disregarded. 2)  Investor's Rate of Return This return measure is simply the reciprocal of the simple payback:  Investor's Rate of Return  Net Annual BT Cash Flow ( $ )  =  Investment ($) .„ i-e.  3)  $50,000 per year : !-—'- x 100 % $ 100,000  x 100 %  = 50 % per year  Net Present Value and Profitability Index The Net Present Value (NPV) of any investment is equal to the sum of all cost and benefit flows from  the investment, discounted to present day value at the required rate of return. The required rate of return is also known as the discount rate or hurdle rate.  .w  .  Present Value =  CF(1) — + (1+r)  CF(2) (1+r)  2  +  CF(3) (1+r)  3  CF(n) +•••• + — — (1+r)  n  Net Present Value = Present Value - Implementation Cost ($) Where : CF = $ Cash Flow (including taxes, monitoring, maintenance, and savings) r = Risk adjusted discount rate, hurdle rate, opportunity cost of capital, or minimum acceptable % return. $50,000 $50,000 " $50,000 $50,000 i.e. NPV = - $100,000 + + + + (1+0.15) (1+0.15) (1+0.15) (1+0.15) = $142,749 1  2  3  (Investing $142,749 at 15% return would yield the same returns as this $100,000 project)  4  Investments should be made if the NPV is nonnegative - the project will increase the value of the firm. Net present value techniques work with any cash flow pattern (i.e. positive or negative), account for the time value of money, and are easy to calculate. The disadvantages of this method are that it may be difficult to determine theriskadjusted discount rate, and the cash flows are implicitly assumed to be reinvested (or borrowed for negative cash flows) at the discount rate. Also, a nonzero NPV also does not give a clear idea of the relative merit of one proposal when several alternatives are available. The Profitability Index, or Benefit-Cost Ratio, can be used with NPV to overcome this problem. The index is the present value of forecasted future cash flows divided by the initial cost. For example:  Project  10% +23,636 +13,636  £  C  A B  -20,000 -10,000  NPV (S> 10% +3,636 +3,636  PV @  +26,000 +15,000  Profitability Index  1.18 1.36  Each project has an equal net present value, but project A has a lower profitability index. Project B would be chosen in this simple example. 4)  Internal Rate of Return  The internal rate ofreturn(IRR) is equal to that discount rate which equates the NPV to zero (i.e. setting the NPV equation equal to zero and solve for R.) Managers are familiar with this measure and it gives an clearer indication of the relative strength of the investment than net present value alone. n , r o = — $ cost + n  t  l  i  CF(1) CF(2) ———— + (1+r)  (1+r)  2  +  CF(3)  (1+r)  3  CF(n) +••••+ — — — (1+r)  n  Where : CF(n) = $ Cash Flow in period n.  r ^Internal Rate of Return (IRR). $50,000 i.e.  0 IRR  = -$100,000 = 34.9 %  +  $50,000 — +  (1+IRR)  $50,000 ^— +  (1+IRR)  $50,000 3— +  (1+IRR)  7— (1+IRR)  (This measure assumes each of the $50,000 yearly savings (net of all costs) is reinvested at the IRR of 34.9% until the end of period 4) There are few analytical methods without problems and internal rate of return is no exception. The formula implicitly assumes that cash flows are reinvested at the calculated IRR - for example: an internal rate of return of 22% implies that all positive cashflowsearn 22% and all negative borrowings are made at 22% until thefinalperiod in the analysis. Also, where positive and negative cash flows exist, there may be multiple solutions to the equation.  73  S)  Adjusted Internal Rate of Return  To account for reinvestment rates and negative cash flows from an investment, the IRR calculation can be modified so that all cash flows are compounded forward at the reinvestment rate.  CF(1) (Ul) "CF(2) (1+1) ' — — — — — +— — — — + (Ur) (1+r)  n e^c* 0 = - SCost +  1  n  n  CF(3) (Ul) '  Z  n  (1+r)  n  n  3  CF(n) + •••• + — — — (Ur) n  Where : CF(n) = $ Cash Flow in period n. i = reinvestment rate for positive cash flows r ^Adjusted Internal Rate of Return (AIRR) 3 2 $50,000(1+0.12) $50,000(1+0.12) $50,000(1+0.12) i.e. 0 o -$100,000 + + + + (1+AIRR) (1+AIRR) (1+AIRR) Rearranging : 4  AIRR = ^  $50,000 $100,000  4  3 2 x{ 1.12 + 1.12 + 1.12 + 1}  4  $50,000 (1 + AIRR)  4  1  -1  = 24.3% Positive cash flows are reinvested at 12 %. (for example, pay off existing mortgage.) The Adjusted IRR for this cash flow stream is 24.3 %. In this example, yearly savings are identical, which allows rearranging the equation, as shown.  Two reinvestment rates can also be used. The first rate would provide a return to initial cash surplus (such as short term savings rates), and the second rate can be used when cash surplus reaches a certain level and can be reinvested at a higher rate. The formula then becomes (with only one reinvestment rate):  74  Appendix E. Financial Analyses of Energy Management Programs in Study Buildings  The following notes on the analysis should be considered when observing the results: i)  7 of the buildings use oil for heating fuel. Forecast savings use 1986 energy rates.  ii)  No attempt was made to provide for energy rate increases or decreases in the forecast years.  iii)  No reduction in savings was allowed for, which is possible as equipment may deteriorate.  i v)  For the government buildings, a cost of $0.02/sfper year is included as a management expense. This figure is based on the total square footage of all property types monitored by the Energy Management Division and an estimated $400,000 per year for department costs.  v)  Heating energy is corrected for degree days based on the first year of data and the calculated heating balance point Energy used for cooling is not corrected for weather. For detailed analysis, cooling energy should be temperature corrected.  vi)  Electrical energy savings and kW demand savings are straight line over the base year. kW savings are cumulative for 12 months.  vii)  All cost savings are calculated using actual marginal energy rates at the time of energy savings and include all sales taxes.  viii) Maintenance expenses may change with new equipment, but are not included except where service contracts were noted. In the case of window film installation, a 3% cost replacement allowance was included for 2 years. ix)  A capitalization rate (CAP rate) of 10% was used to estimate building values.  x)  Savings are forecasted for a 5 year period beyond the last year of data. Savings beyond this point are less certain  but could increase returns to the project. (At a 15% discount rate, a 1$ savings achieved 10 years hence is wor $0,247 in present value terms.) xi)  The adjustment savings rate for positive cash flows for the Adjusted Internal Rate of Return (AERR) calculations is 8%.  xii)  Taxes on capital gains resulting from increased value on sale of a property are not included.  xiii) Insurance costs are not included.  xiv) No salvage value is included in the analysis. The project equipment becomes an integral part of the office building and the value of the equipment on the sale of the building is primarily determined by property cash flows.  76  OFFICE BUILDING 'A' - Provincial Government Energy Management Program Financial Analysis  |  1984  1985  1986  $0  $1,450 $4,516 ($3,066)  $33,250 $4,516 $28,734  $33,973 $4,516 $29,457  $31,217 $4,516 $26,701  $9,000 $0 $9,000  $0 $0 $0  $0 $116,140 $116,140  ($9,000)  ($3,066)  ($87,406)  $29,457 $29,457 $0  $26,701 $58,515 $2,357  Operating Savings  Less management @ $0.02/sf Net Operating Savings  Project Expenditures  Consulting Equipment  Total Project Costs Cash Flow  Cumulative Savings @ NPV@ NPV@  A Forecast • 1987 A 1988 A  1983  8.0%  15.0% $402 20.0% ($7,497) Internal Rate of Return 15.2% Adjusted Internal Rate of Return 11.9%  1989 A  1990 A  1991 A |  $31,217 $4,516 $26,701  $31,217 $4,516 $26,701  $31,217 $4,516 $26,701  $31,217 $4,516 $26,701  $26,701 $89,897 $4,681  $26,701 $123,789 $7,192  $26,701 $160,394 $9,903  $26,701 $199,926 $12,831  OFFICE BUILDING 'B' - Provincial Government Energy Management Program Financial Analysis  1983  1984  1985  1986 | 1987  $2,616 $1,104 $1,104 $1,104 ($1,104) ($1,104) $1,512  $533 $1,104 ($571)  $3,244 $1,104 $2,140  $7,734 $1,104 $6,630  $12,300 $0 $12,300  $1,500 $0 $1,500  $0 $0 $0  $0 $53,050 $53,050  | 1981 Operating Savings  Less management @ $0.02/sf Net Operating Savings  1982  Project Expenditures  Consulting Equipment  Total Project Costs Cash Flow  Cumulative Savings @  $0 $0 $0  ($13,404) ($1,104)  $1,100 $0 $1,100 $412 $412  8.0%  NPV@ 15.0% NPV@ 20.0% IRR  ($2,071) $2,140 ($1,627) $383 $33 ($130)  A  1988  A  1989  A  1990  A  1991  A  $6,615 $1,104 $5,511  $6,615 $1,104 $5,511  $6,615 $1,104 $5,511  $6,615 $1,104 $5,511  $6,615 $1,104 $5,511  ($46,420) $5,511  $5,511  $5,511  $5,511  $5,511  $31  ($3,681) ($3,534) ($3,376) ($3,205) ($3,021)  ($24,424) ($21,865) -17.7%  *" NOTE *** The major energy management project was completed in late 1986. The energy savings noted beyond 1986 may not reflect the eventual total savings. The indicated low return will add conservatism to the total return of the combined projects (Table XIV)  OFFICE BUILDING C - Provincial Government Energy Management Program Financial Analysis  1983  1984  1985  1986  1987 A  1988 A  1989 A  1990 A  1991 A  Operating Savings Less management @ $0.02/sf Net Operating Savings  $2,731 $3,953 ($1,222)  $8,412 $3,953 $4,459  $18,796 $3,953 $14,844  $34,210 $3,953 $30,257  $32,616 $3,953 $28,664  $32,616 $3,953 $28,664  $32,616 $3,953 $28,664  $32,616 $3,953 $28,664  $32,616 $3,953 $28,664  Project Expenditures Consulting Equipment Total Project Costs  $4,200 $0 $4,200  $0 $0 $0  $9,000 $109,000 $118,000  $0 $0 $0  $0 $0 $0  Cash Flow  ($5,422)  $4,459  ($103,156)  $30,257 $30,257 $0  $28,664 $61,342 $2,421  $28,664 $94,913 $4,907  $28,664 $131,169 $7,593  $28,664 $170,326 $10,494  $28,664 $212,616 $13,626  Cumulative Savings @ NPV@ NPV@  8.0%  12.0% 15.0% Internal Rate of Return Adjusted Internal Rate of Return  $10,183 $3,066 16.6% 12.6%  |  OFFICE BUILDING 'D' - Provincial Government Energy Management Program Financial Analysis  I Operating Savings  Less management @ $0.02/sf Net Operating Savings  Project Expenditures  Consulting Equipment  Total Project Costs Cash Flow  Cumulative Savings @  1981  1982  $1,091 $2,661 $2,661 ($2,661) ($1,570)  1983  1985  A Forecast - 1986 savings 1986 | 1987 A 1988 A 1989  A  1990  A  1991  A |  $7,023 $12,122 $17,812 $19,265 $17,611 $17,611 $17,611 $17,611 $17,611 $2,661 $2,661 $2,661 $2,661 $2,661 $2,661 $2,661 $2,661 $2,661 $4,362 $9,461 $15,151 $16,604 $14,950 $14,950 $14,950 $14,950 $14,950  $12,300 $0 $0 $1,500 $12,300 $1,500  $0 $0 $0  ($14,961) ($3,070)  $4,362 $4,362  8.0%  1984  NPV@ 12.0% $9,792 NPV@ 15.0% $5,529 Internal Rate of Return 20.8% Adjusted Internal Rate of Return 16.3%  $1,500 $0 $1,500  $0 $0 $0  $0 $53,050 $53,050  $7,961 $15,151 ($36,446) $14,950 $14,950 $14,950 $14,950 $14,950 $12,671 $28,835 ($5,304) $9,221 $24,908 $41,850 $60,148 $79,910 $349 $1,014 $2,307 $1,993 $3,348 $4,812 ($424) $738  OFFICE BUILDING 'E' - Provincial Government Energy Management Program Financial Analysis  1982  1983  1984  $546 ($546)  $2,487 $546 $1,941  $3,498 $546 $2,952  $3,449 $546 $2,903  ($2,536) ($851) ($1,442) ($1,442) ($1,442) ($1,442) ($1,442) $546 $546 $546 $546 $546 $546 $546 ($3,082) ($1,397) ($1,988) ($1,988) ($1,988) ($1,988) ($1,988)  $0 $0 $0  $0 $0 $0  $3,600 $0 $3,600  $1,700 $0 $1,700  $1,700 $16,500 $18,200  ($546)  $1,941  ($648)  $1,203 $1,203 $0  ($21,282) ($2,897) ($1,988) ($1,988) ($1,988) ($1,988) ($1,988) ($19,982) ($24,477) ($28,423) ($32,685) ($37,287) ($42,258) ($47,626) $96 ($1,599) ($1,958) ($2,274) ($2,615) ($2,983) ($3,381)  Operating Savings  Less management @ $0.02/sf Net Operating Savings  Project Expenditures  Consulting Equipment  Total Project Costs Cash Flow  A Forecast • 1986 |1987 A 1988  1 1981  Cumulative Savings @  NPV@ 12.0% NPV@ 15.0%  8.0% ($14,598) ($12,540)  1985  $1,500 $0 $1,500  A  1989  A  1990  A  1991  A |  $0 $0 $0  OFFICE BUILDING T - Provincial Government Energy Management Program Financial Analysis  1  1982  1983  1984  1985  1986  I 1987 A  1988 A  1989 A  1990 A  1991 A I  Operating Savings Less management @ $0.02/sf Net Operating Savings  $20,482 $4,236 $16,246  $32,022 $4,236 $27,786  $47,413 $4,236 $43,177  $39,354 $4,236 $35,118  $44,010 $4,236 $39,774  $37,121 $4,236 $32,884  $37,121 $4,236 $32,884  $37,121 $4,236 $32,884  $37,121 $4,236 $32,884  $37,121 $4,236 $32,884  Project Expenditures Consulting Equipment Total Project Costs  $17,100 $22,100 $39,200  $1,650 $200,050 $201,700  $3,600 $0 $3,600  $3,675 $9,900 $13,575  $12,000 $0 $12,000  $0 $0 $0  Cash Flow  ($22,954)  ($173,914)  $39,577 $39,577 $0  $21,543 $64,285 $3,166  $27,774 $97,202 $5,143  $32,884 $137,863 $7,776  $32,884 $181,776 $11,029  $32,884 $229,203 $14,542  $32,884 $280,423 $18,336  $32,884 $335,742 $22,434  Cumulative Savings @ NPV@ NPV@  8.0%  12.0% ($34,255) 15.0% ($44,511) Internal Rate of Return 5.7% Adjusted Internal Rale of Return 6.8%  OFFICE BUILDING 'G' - Provincial Government Energy Management Program Financial Analysis  I Operating Savings  Less management @ $0.02/sf Net Operating Savings  A Forecast = 1986 savings | 1987 A 1988 A 1989  1983  1984  1985  1986  $11,059 $512 $10,547  $13,726 $512 $13,214  $14,717 $512 $14,205  $10,597 $512 $10,085  $10,595 $512 $10,083  $0 $0 $0  $1,500 $27,800 $29,300  $0 $0 $0  $0 $0 $0  $0 $0 $0  $10,085 $25,427 $1,136  $10,083 $37,543 $2,034  A  1990  A  1991  A |  $10,595 $512 $10,083  $10,595 $512 $10,083  $10,595 $512 $10,083  $10,595 $512 $10,083  $10,083 $50,629 $3,003  $10,083 $64,763 $4,050  $10,083 $80,026 $5,181  $10,083 $96,511 $6,402  Project Expenditures  Consulting Equipment  Total Project Costs  $10,547  Cash Flow  Cumulative Savings @  8.0%  ($16,086) $14,205 $14,205 $0  NPV@ NPV@  15.0% $31,439 20.0% $25,244 Internal Rate of Return 72.0% Adjusted Internal Rate of Return 50.4% (combining year 1 and 2 into 1) Savings achieved initially due to operating changes. The rates of return include these low cost measures. The equipment installation (EMCS) may provide future savings in manpower which have not been accounted for.  OFFICE BUILDING 'H' - Provincial Government Energy Management Program Financial Analysis  I  1983  1984  1985  A Forecast = 1986 savings 1986 | 1987 A 1988 A 1989  Operating Savings Less management @ $0.02/sf Net Operating Savings  $12,490 $23,946 $15,570 $4,916 $4,916 $4,916 $7,574 $19,030 $10,654  $15,281 $4,916 $10,365  Project Expenditures Consulting Equipment Total Project Costs  $15,700 $2,100 $17,800  $1,800 $1,500 $3,300  $2,500 $2,100 $4,600  ($10,226) $16,530 $7,354 $16,530 $25,206 8.0% $0 $1,322  $5,765 $32,987 $2,016  Cash Flow  Cumulative Savings©  $0 $2,500 $2,500  NPV@ 15"0% $28,909 NPV@ 20.0% $22,914 Internal Rate of Return 120.5% Adjusted Internal Rate of Return 33.2%  A  1990  A  1991  A |  $13,876 $13,876 $13,876 $13,876 $13,876 $4,916 $4,916 $4,916 $4,916 $4,916 $8,960 $8,960 $8,960 $8,960 $8,960  $8,960 $8,960 $8,960 $8,960 $8,960 $44,585 $57,112 $70,640 $85,251 $101,031 $2,639 $3,567 $4,569 $5,651 $6,820  OFFICE BUILDING T - Provincial Government Energy Management Program Financial Analysis  1 1981 Operating Savings  Less management @ $0.02/sf Net Operating Savings  Project Expenditures  Consulting Equipment  Total Project Costs Cash Flow  Cumulative Savings @  1982  CJ1  1984  1985  1986  1987  A  1988  A  1989  A  1990  A  1991  A |  $13,404 $17,495 $16,005 $15,444 $15,300 $15,300 $15,300 $15,300 $15,300 $1,130 $1,130 $1,130 $1,130 $1,130 $1,130 $1,130 $1,130 $1,130 $1,130 $1,130 ($1,130) ($1,130) $12,274 $16,364 $14,875 $14,314 $14,170 $14,170 $14,170 $14,170 $14,170 $9,900 $0 $9,900  $0 $10,695 $10,695  ($11,030) ($11,825) $12,274 $16,364 $14,875 $14,314 $14,170 $14,170 $14,170 $14,170 $14,170 $12,274 $29,620 $46,865 $64,927 $84,291 $105,205 $127,791 $152,184 $178,528 $982 $2,370 $3,749 $5,194 $6,743 $8,416 $10,223 $12,175 8.0%  NPV Cash Flow @ 12.0% NPV Cash Flow @ 15.0% Internal Rate of Return Adjusted Internal Rate of Return  oo  1983  $41,431 $33,013 48.7% 24.1%  Energy Management Project Financial Summary  PROJECT returns  |  Operating Savings  Less : Lease Payments Net Operating Savings Project Expenditures  Consulting Equipment  Total Project Costs Before Tax Cash Flow  Tax Considerations Capital Cost Allowance @ 5% Taxable benefit Assumed tax rate Tax Payable After Tax Cash Flow  |  A Forecast 1987A  1988 A  1989 A  1990 A  1991 A  $27,565 $9,625 $17,940  $27,565 $9,625 $17,940  $27,565 $9,625 $17,940  $27,565 $9,625 $17,940  $27,565 $6,840 $20,725  $17,940  $17,940  $20,725  $718 $17,222 45.0% $7,750 $10,190  $682 $17,258 45.0% $7,766 $10,174  $648 $20,077 45.0% $9,035 $11,690  1985  1986  $4,825 $0 $4,825  $22,302 $6,416 $15,886  $5,600 $0 $5,600  $0 $11,000 $11,000  ($775)  $4,886  $17,940  $17,940  $140 $4,685 50.0% $2,343 ($3,118)  $548 $15,338 50.0% $7,669 ($2,783)  $796 $17,145 50.0% $8,572 $9,368  $756 $17,184 45.0% $7,733 $10,207  NPV @ 15% = $21,040 NPV @ 20% = $16,578  CO  - Office Building 'J'  |  Remaining project equipment leased  Internal Rate of Return - 104.2% Adjusted Internal Rate of Return = 45.3% (@ 8% savings rate on positive cash flows)  |  Energy Management Project Financial Summary  I  B.  - Office Building 'J'  Forecast 1987A  1988 A  1989 A  1990 A  1991 A  $22,302 31.0% $6,914 $1,989  $27,565 28.0% $7,718 $2,695  $27,565 25.0% $6,891 $2,406  $27,565 20.0% $5,513 $1,925  $1,496  $4,925  $5,023  $4,485  $3,588  $27,565 15.0% $4,135 $1,444 20.0% $5,513 $55,130 $63,334  $27,565 15.0% $4,135 $1,026 40.0% $16,539 $110,260 $129,908  Project Expenditures  $5,000  $11,000  Before Tax Cash Flow  ($3,504)  ($6,075)  $5,023  $4,485  $3,588  $2,691  $3,109  $125 $1,371 50.0% $685 ($4,190) ($4,190)  $519 $4,406 50.0% $2,203 ($8,278) ($8,278)  $796 $4,228 50.0% $2,114 $2,909 $2,909  $756 $3,729 45.0% $1,678 $2,807 $2,807  $718 $2,870 45.0% $1,292 $2,297 $2,297  $682 $2,009 45.0% $904 $1,787 $62,430  $648 $2,461 45.0% $1,107 $2,001 $128,800  |  1985  1986  Total Operating Savings x Vacancy  $4,825 31.0% $1,496 $0  Building OWNER Returns  Operating savings to owner  less Owner paid lease payments Lease expiries Increase in lease revenues Capitalized value @ 10 % NET Owner Benefits  |  (with no increase in Lease revenues) Tax Considerations Capital Cost Allowance @ 5% Taxable benefit Assumed tax rate Tax Payable  After Tax Cash Flow ATCF + Value & lease Increase  Rates of return NOT Including Value and Lease Increase  NPV ATCF @ 15%= NPV ATCF @ 20%=  ($3,718) ($4,123)  IRR - no value increase = Adjusted Internal Rate of Return =  -1.8% 2.3%  (8% savings)  Rates of return INCLUDING Value and Lease increase  NPV ATCF @ 15%= NPV ATCF @ 20 % =  CD  $70,168 $51,574  IRR with Value Increase = 79.5% Adjusted Internal Rate of Return = 68.2%  (8% savings)  |  Energy Management Project Financial Summary  |  A.  PROJECT returns  |  Operating Savings  Less : maintenance contract Net Operating Savings  Project Expenditures  Consulting Equipment  Total Project Costs Before Tax Cash Flow  Tax Considerations Capital Cost Allowance @ 5% Taxable benefit Assumed tax rate Tax Payable  After Tax Cash Flow  |  -  Office Building 'K'  Forecast A 1987 A  1988 A  1989 A  79904  1991A  $22,749 $1,800 $20,949  $23,386 $1,800 $21,586  $23,386 $1,800 $21,586  $23,386 $1,800 $21,586  $23,386 $1,800 $21,586  $23,386 $1,800 $21,586  ($123,710)  $20,949  $21,586  $21,586  $21,586  $21,586  $21,586  $3,233 $2,359 50.0% $1,180 ($124,890)  $6,303 $14,646 50.0% $7,323 $13,626  $5,988 $15,598 50.0% $7,799 $13,787  $5,689 $15,897 45.0% $7,154 $14,432  $5,404 $16,181 45.0% $7,282 $14,304  $5,134 $16,452 45.0% $7,403 $14,183  $4,878 $16,708 45.0% $7,519 $14,067  1985  1986  $6,042 $450 $5,592  I  $10,000 $119,302 $129,302  NPV @ 15%= ($62,448) NPV @ 20% = ($65,250)  Internal Rate of Return = -10.1% Adjusted Internal Rate of Return = -3.3% (@ 8% savings rate on positive cash flows)  |  Energy Management Project Financial Summary  |  B.  Building OWNER Returns  |  Total Operating Savings x Vacancy Tenant recoveries Lease expiries Increase in lease revenues Capitalized value @ 10 % NET Owner Benefits  |  1985  1986  $6,042 19.4% $1,172 $4,870  $6,042  -  Office Building 'K'  Forecast A  79374  1988 A  1989 A  1990 A  1991A  $22,749 24.0% $5,460 $17,289  $23,386 30.0% $7,016 $16,370  $23,386 25.0% ' $5,846 $17,539  $22,749  $23,386  $23,386  $23,386 20.0% $4,677 $4,677 $0 4677.16174 $46,772 $60,803  $23,386 15.0% $3,508 $0 20.0% $9,354 $46,772 $59,634  $23,386 15.0% $3,508 $0 20.0% $14,031 $46,772 $64,311  $22,749  $23,386  $23,386  $9,354  $3,508  $3,508  $6,303 $16,446 50.0% $8,223 $14,526 $14,526  $5,988 $17,398 50.0% $8,699 $14,687 $14,687  $5,689 $17,697 45.0% $7,964 $15,422 $15,422  $5,404 $3,950 45.0% $1,777 $7,577 $59,026  $5,134 ($1,626) 45.0% ($732) $4,240 $60,366  $4,878 ($1,370) 45.0% ($616) $4,124 $64,927  Project Expenditure $129,302 BEFORE TAX CASH ($123,260)  (with no increase in Lease revenues) Tax Considerations Capital Cost Allowance @ 5% Taxable benefit Assumed tax rate Tax Payable  After Tax Cash Flow ATCF + Value & lease Increase  $3,233 $2,809 50.0% $1,405 ($124,665) ($124,665)  Rates of return NOT Including Value and Lease increase  NPV ATCF @ 15 % = NPV ATCF @ 20% =  ($71,795) ($64,089)  IRR - no value increase = -21.2% (8% savings) Adjusted Internal Rate of Return = -7.5%  Rates of return INCLUDING Value and Lease increase  NPV ATCF @ 15 % = NPV ATCF @ 20 % =  CO  $907 ($15,805)  IRR with Value Increase =15.2% Adjusted Internal Rate of Return =13.0%  (8% savings)  |  [  Energy Management Project Financial Summary  - Office Building 'L'  A Forecast  PROJECT returns  |  OPERATING SAVINGS Replacement & repair @ 3 % NET OPERATING SAVINGS  |  1985  $57,253 $57,253  1986  |  1987A  1988 A  1989 A  1990 A  1991 A \  $105,230 $105,512 $105,512 $7,584 $7,584 $97,646 $97,928 $105,512  $105,512  $105,512  $105,512  $105,512  $105,512  $105,512  $105,512  $105,512  $105,512  Project Expenditures  Solar Film  Total Project Costs  $252,802  $252,802  Before Tax Cash Flow  ($195,549)  $97,646  Less : Operating expenses Taxable Benefit Assumed tax rate Taxes Payable After Tax Cash Flow  $126,401 ($69,148) 50.0% ($34,574) ($160,975)  $126,401 ($28,755) 50.0% ($14,378) $112,023  NPV @ 15 % = $85,859 NPV @ 20 % = $58,922  o  $97,928  $105,512  $97,928 $105,512 $105,512 50.0% 45.0% 45.0% $48,964 $47,480 $47,480 $48,964 $58,032 $58,032  Internal Rate of Return - 39.5% Adjusted Internal Rate of Return = 20.5% (@ 8% savings rate on positive cash flows)  $105,512 $105,512 45.0% 45.0% $47,480 $47,480 $58,032 $58,032  Energy Management Project Financial Summary  [ I  B.  Building OWNER Returns  |  Total Operating Savings Replacement & repair @ 3 % Vacancy  Operating savings to owner  Owner paid replacement Lease expiries Increase in lease revenues Capitalized value @ 10 % NET Owner Benefits  |  1985  1986  $57,253 20.0% $11,451  |  1988 A  1989 A  1990 A  1991 A  $105,230 $7,584 20.0% $21,046 ($1,517)  $105,512 $7,584 20.0% $21,102 ($1,517)  $105,512  $105,512  $105,512  $105,512  17.0% $17,937  14.0% $14,772  11.0% $11,606  11.0% $11,606  $19,529  $19,586  $17,937  $14,772  40% $42,205 $422,048 $475,860  20% $63,307 $211,024 $285,938  $19,586  $17,937  $14,772  $11,607  $11,607  $17,937 45.0% $8,072 $9,865 $9,865  $11,607 $11,607 $14,772 45.0% 45.0% 45.0% $6,647 $5,223 $5,223 $8,124 $6,384 $6,384 $8,124 $470,636 $280,715  $11,451 $252,802  BT Cash Flow  ($241,351)  $19,529  $126,401 ($114,950) 50.0% ($57,475) ($183,876) ($183,876)  $126,401 ($106,872) $19,586 50.0% 50.0% ($53,436) $9,793 $72,965 $9,793 $72,965 $9,793  Operating Expenses Taxable Benefit Assumed tax rate Taxes Payable  After Tax Cash Flow ATCF + Value & lease Increase  Rates of return NOT Including Value and Lease Increase  NPV ATCF @ 15%= NPV ATCF O 20 % =  ]  Office Building 'L'  1987 A  Project Expenditures  (with no increase in Lease revenues)  -  ($83,442) ($84.951)  IRR - no value increase - -19.1% Adjusted Internal Rate of Return =-2.7%  (8% savings)  Rates of return INCLUDING Value and Lease Increase  NPV ATCF @ 15 % = $220,399 NPV ATCF & 20 % = $147.087 Capital gains tax on sale not included for value increase  IRR - no value increase «40.7% 31.1% Adjusted Internal Rate of Return =  (8% savings)  |  

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