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Water consumption assessment : Walter Gage South Tower (#170) Faught, Brady Oct 10, 2014

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 UBC Social Ecological Economic Development Studies (SEEDS) Student ReportBrady FaughtWater Consumption Assessment - Walter Gage South Tower (170)PLAN 597October 10, 201411451695University 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”.    Water Consumption Assessment - Walter Gage South Tower (#170) PLAN 597 - Assignment #1 Due: October 10 2014 Brady Faught 1.	  Summary	   The following report provides the analysis of the monthly water consumption data acquired from Erin Kastner in the Utilities department at UBC. To note about the building of study:   • The Walter Gage Tower (South) is a campus residence that is home to a maximum of 449 students.  • 100% of the toilets and sinks were replaced with low-flow versions in the summer of 2014. • The meter is read monthly. Data is available January 2010 to September 2014.  • Of the period of study (56 months), data for only 3 months was unavailable.  • The building is, and has been, completely full during the Winter and Spring terms during the period of study. • It was not always full during the Summer terms. However, detailed vacancy information was not available  • There is only one water meter at this building. UBC is billed quarterly. 2.	  Data	  Analysis	   Table 1 shows the statistical summary of the monthly usage, and Figure 1 is a histogram that summarizes the monthly data. Refer to Appendix A for the raw meter data as well as the incremental monthly usage.  Table 1. Statistical Summary of Monthly Usage  m3 water / month Mean (Average) 1561 Median 1858 Standard Deviation 756 Minimum 1 Maximum 2761    The histogram highlights a typical monthly water usage of between 2100 and 2400 m3 water / month at the Walter Gage residence. When comparing with the raw data, it appears the group of high values is from Winter and Spring terms (when the residence is full) and the second group of low values on the left side of the histogram represents mainly the summer months. This explains an average usage of only 1561 m3 / month.  Note that data was not recorded on the same day every month. The recorded date varied between the 13th and the 17th of each month. The average day for recording was the 15th with a variance of 2.6, resulting in an error of ±2.6 days and ±8% water usage.   Figure 2 shows both the cumulative water meter reading and the monthly water usage.   0	  2	  4	  6	  8	  10	  12	  300	   600	   900	   1200	   1500	   1800	   2100	   2400	   2700	   3000	  Water	  Consumption	  (m3	  /	  month)	  Figure	  1.	  Histogram	  of	  Water	  Consumption	  100000	  125000	  150000	  175000	  200000	  225000	  250000	  275000	  300000	  0	  500	  1000	  1500	  2000	  2500	  3000	  3500	  4000	  Jan-­‐10	  Apr-­‐10	   Jul-­‐10	   Oct-­‐10	  Jan-­‐11	  Apr-­‐11	   Jul-­‐11	   Oct-­‐11	  Jan-­‐12	  Apr-­‐12	   Jul-­‐12	   Oct-­‐12	  Jan-­‐13	  Apr-­‐13	   Jul-­‐13	   Oct-­‐13	  Jan-­‐14	  Apr-­‐14	   Jul-­‐14	  Cumulative	  Use	  Monthly	  Use	  Figure	  2.	  Water	  Consumption	  over	  time	  (m3/mth)	  Monthly	   Metered	  1.	   2.	  1. Summer terms (May to August) consistently show low data or no recorded data. 2. Renovations were done during the Summer 2014 term.  The metered data shows a relatively consistent usage over the time period, with a slight tapering towards the end in mid-2014. The monthly usage data shows a general cyclical trend with higher usage during the winter and spring terms (as expected) when the building is full. Oddly, missing data appears to be more common in the summer months, possibly as the usage during this time is negligible compared to during the busy months.  Unfortunately, there is only one data point when the residence is full after the renovations were completed (Sept. 2014). It would be highly beneficial to allow for at least 6 more months of data collection to have reasonable data to compare the before-and-after-renovations water consumption.   Table 2 shows the September water consumption for 2010 to 2014, to see if the number reduces after renovations. Keep in mind the number of residents is constant for all these vales at 449 students. The table takes into account the error that data was not read on the same day each month, resulting in an error of 8%  Table 2. September Water Usage  m3 water / month September 2010 780 ± 62 September 2011 1044 ± 84 September 2012 1020 ± 82 September 2013 1364 ±109 September 2014 836 ± 67  The water usage for September 2014 is approximately 20% less than the average of the previous 4 years. Though it can’t be said as a certainty due to lack of data after the renovations, it appears there is a noticeable improvement for the first month of Winter Term 2014, even including error due to reading dates.   Comparing the overall data mean before the renovations, 1577 m3 / month, and the one data point after the renovations, 836 m3 / month, the after-renovations use is approximately 50% of before-renovations use. This is a promising result, and it would be very interesting to see future data to confirm the substantial impact the renovations had on water consumption. 3.	  Conclusion	   Since the renovations (100% low-flush and efficient fixtures) were completed only in the summer 2014, it is difficult to provide a comprehensive analysis of before-and-after renovations. However, in comparing the September usage for the past 5 years, the September 2014 usage is approximately 20% less than previous September water usages. Also, the September 2014 water usage is half of the average usage before renovations.  Regardless of the results, the installation of efficient plumbing is guaranteed to result in significant savings as these water fixtures are essential to every day activities. This can be combined with raising student awareness in the residences that water is a precious resource and excessive usage should be avoided where possible.  These renovations are a great step in UBC’s superb conservation goals.    Appendix	  A	  –	  Raw	  Data	  and	  Monthly	  Usage	    Table	  2	  –	  Meter	  Data	  from	  UBC	  Utilities	  Building	  Month	   Raw	  data	  (m3/month)	  Monthly  (m3/month) 	   Month	   Raw	  data	  (m3/month)	  Monthly  (m3/month)	  Jan-­‐10	   111854	   	   	   Jun-­‐12	   	   	  Feb-­‐10	   114316	   2462	   	   Jul-­‐12	   157770	   	  Mar-­‐10	   116160	   1844	   	   Aug-­‐12	   158388	   618	  Apr-­‐10	   118470	   2310	   	   Sep-­‐12	   159408	   1020	  May-­‐10	   138160	   1281	   	   Oct-­‐12	   144101	   	  Jun-­‐10	   119752	   1	   	   Nov-­‐12	   164066	   	  Jul-­‐10	   120001	   249	   	   Dec-­‐12	   166095	   2029	  Aug-­‐10	   120130	   129	   	   Jan-­‐13	   168075	   1980	  Sep-­‐10	   120910	   780	   	   Feb-­‐13	   170420	   2345	  Oct-­‐10	   123671	   2761	   	   Mar-­‐13	   172281	   1861	  Nov-­‐10	   126096	   2425	   	   Apr-­‐13	   174934	   2653	  Dec-­‐10	   128438	   2342	   	   May-­‐13	   175678	   744	  Jan-­‐11	   130657	   2219	   	   Jun-­‐13	   	   	  Feb-­‐11	   132808	   2151	   	   Jul-­‐13	   176973	   1295	  Mar-­‐11	   134818	   2010	   	   Aug-­‐13	   177786	   813	  Apr-­‐11	   	   	   	   Sep-­‐13	   179150	   1364	  May-­‐11	   138160	   	   	   Oct-­‐13	   181187	   2037	  Jun-­‐11	   	   	   	   Nov-­‐13	   183262	   2075	  Jul-­‐11	   139775	   	   	   Dec-­‐13	   185117	   1855	  Aug-­‐11	   140726	   951	   	   Jan-­‐14	   186444	   1327	  Sep-­‐11	   141770	   1044	   	   Feb-­‐14	   188624	   2180	  Oct-­‐11	   144101	   2331	   	   Mar-­‐14	   190022	   1398	  Nov-­‐11	   145997	   1896	   	   Apr-­‐14	   192230	   2208	  Dec-­‐11	   148058	   2061	   	   May-­‐14	   193251	   1021	  Jan-­‐12	   149440	   1382	   	   Jun-­‐14	   193662	   411	  Feb-­‐12	   151764	   2324	   	   Jul-­‐14	   194070	   408	  Mar-­‐12	   153805	   2041	   	   Aug-­‐14	   194710	   640	  Apr-­‐12	   156170	   2365	   	   Sep-­‐14	   195546	   836	  May-­‐12	   157067	   897	   	   	   	   	   

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