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Mary Vasey Gage apartments water consumption analysis Vasey, Mary Oct 10, 2014

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 UBC Social Ecological Economic Development Studies (SEEDS) Student ReportMary VaseyGage Apartments Water Consumption AnalysisPLAN 597October 10, 201411451693University of British Columbia Disclaimer: “UBC SEEDS provides students with the opportunity to share the findings of their studies, as well as their opinions, conclusions and recommendations with the UBC community. The reader should bear in mind that this is a student project/report and is not an official document of UBC. Furthermore readers should bear in mind that these reports may not reflect the current status of activities at UBC. We urge you to contact the research persons mentioned in a report or the SEEDS Coordinator about the current status of the subject matter of a project/report”.  Mary Vasey-  PLAN597- Assignment #1 Gage Apartments Water Consumption Analysis  GAGE APARTMENTS Gage Apartments is the north-east building within the Walter Gage complex. This facility is a student residence and is utilized in a hotel capacity during the summer months. Included in this water consumption analysis is intermittent data from March 2007 to September 2014. Monthly data was available from March 2009 onwards, and quarterly prior to this date. During the summers of 2010 and 2011, 100% of the water features in this building were updated to decrease water consumption. Our overall objective is to quantify what, if any, contribution this had to decreasing water use through increased infrastructure efficiency. The data needed only basic cleaning following input, such as determining consumption per month by adding two meter readings and using basic functions to determine cumulative consumption to date. There was also a need to identify limits in data quality such as that caused by inconsistent monitoring. The implications of this is the sensitivity of analysis possible, that is monthly vs. yearly comparisons, throughout the timeframe. Data was collected in water consumption in m3 and was not converted to ft3.   DATA ANALYSIS- SUMMARY STATISTICS Table 1. Summary statistics of yearly consumption from 2008-2013 and monthly consumption from April 2009 to September 2014, as limited by data quality. Yearly Consumption  Monthly Consumption      Mean 12375.25  Mean 1015.717 Standard Error 651.3209  Standard Error 62.79561 Median 12077.75  Median 991.5 Standard Deviation 1595.404  Standard Deviation 457.1589 Sample Variance 2545313  Sample Variance 208994.3 Kurtosis -1.59481  Kurtosis 2.912455 Skewness 0.402515  Skewness 1.04755 Range 3965  Range 2650.5 Minimum 10535  Minimum 115 Maximum 14500  Maximum 2765.5 Sum 74251.5  Sum 53833 Count 6  Count 53 Confidence Level (95.0%) 1674.274  Confidence Level (95.0%) 126.0086     Mary Vasey-  PLAN597- Assignment #1 Gage Apartments Water Consumption Analysis  DATA ANALYSIS- HISTOGRAM  Monthly water-consumption indicates that between April 2009 and September 2014, the most frequent consumption rates are 0-2000 m3 per month (Figure 1). The histogram in Figure 1 further indicates that there are 4 months with higher monthly consumption rates of 2500-4000 m3. These months are October 2009, October 2010, November 2010, and November 2012. It is possible that these trends relate to occupancy trends, weather trends, or events such as construction that increase water consumption. However, it is not possible to further elaborate on the cause of these 4 anomalies without further information.           05101520250-500 500-1000 1000-1500 1500-2000 2000-2500 2500-3000 3000-3500 3500-4000FrequencyWater consumption (m3)Figure 1. Histogram of frequency of monthly water consumption (April 2009 - September 2014). N = 62.Mary Vasey-  PLAN597- Assignment #1 Gage Apartments Water Consumption Analysis  DATA ANALYSIS- CONCLUSIONARY STATISTICS Table 2. t-Test comparing pre- and post-renovation water consumption indicating no significant change (Two-Sample Assuming Unequal Variances).   Pre-renovation Post-renovation Mean 1386.071429 1001.176471 Variance 1333558.995 217938.4073 Observations 14 34 Hypothesized Mean Difference 0  df 15  t Stat 1.207141744  P(T<=t) one-tail 0.123034649  t Critical one-tail 1.753050356  P(T<=t) two-tail 0.246069298  t Critical two-tail 2.131449546    There is no significant difference in pre-renovation water consumption compared with post-renovation consumption on a statistical basis, despite a difference in mean and variance for these time periods (Table 2). The steady rate of water consumption in Gage Apartments despite retrofits may be due to several factors. These may include: efficiency of new equipment, behavioural changes, occupancy increases, error in meters or meter reading, and unaccounted for water connections on the same meter.  CONCLUSION There was no significant decline in water consumption in Gage Apartments following plumbing retrofits during the summers of 2010 and 2011. While many factors have been identified as possible explanations for the lack of water conservation, without further data these are only speculative. Despite these somewhat disappointing results, this exercise has demonstrated the need to maintain accurate monthly data on building water consumption and the need for thorough reviews of expected gain from these extensive retrofitting investments for older buildings. 


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