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AgdaPkt 2004-01-26
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AgdaPkt 2004-01-26
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11/30/2006 9:24:32 AM
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1/23/2004 8:35:11 AM
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CC Index
CC Index - Document Type
Agenda Packet
Date
1/26/2004
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<br /> f 5.1.(..-22 <br /> construction as part of the Energy Poliey Act of 1992. Tn 1994 the older toilets were no <br /> longer manufactUred or a national level and OI..FT penetration baa been increasing since. <br /> Engineering changes have lllso improved the water and energy efficiency assoeiated with <br /> clotbes washers. Over the last five years, this efficiency has been associated with <br /> horizontal axis washers, although other high-efficiency alternatives are also evolving. A <br /> Federal code change has mandated high-efficiency clothes washer be the only product <br /> sold by 2007. <br /> Appendix B shows the residential water use coefficients. IS well as the estimated <br /> penetration rates and water savings associated with ULFTs and higb-efficiency clothes <br /> washers for the residential sectOrS. The Cl.IJ'm1t penetration rates are estimated from a <br /> water conservation baseline penetration study recently completed by East Bay Municipal <br /> Water District (2001). Funue penetration rates are based on expected natural tatcs of <br /> replacement. RWC could acceletllte these replacement rates via water conservation <br /> programs and incentives. RWC isCUlTCDtlyparticipating in abigh-efficiency washer <br /> rebate program through the Bay ,Area Water Users Association. Thisacccleration is not <br /> factOred into the base water use forecasts generated in this stUdy. It is included in <br /> sensitivity analyses described in Section 5. <br /> Appendix C shows estimated water savings associated with ULFT installation at <br /> commercial sites. It shows the universe of toilets installed at commercial sites within the <br /> city as of 1992, along with water savings and penetration rate assumptions. <br /> 4. Water Use Forecasts <br /> Water use foreeasts are generated for a given year by multiplying the relevant data driver <br /> by its water use coefficient Appendix D shows the results. ThesefutcCasts should be <br /> interpreted as expected "nonnaI" year forecasts. Weather, pricing, water-use <br /> intensification, conservation,and data driver variations can alter these expected values as <br /> discussed in the next section. <br /> WateI' forecasts are developed by sector. They are comprised of sub-fol'eGasts made for: <br /> . existing users,as of2000 <br /> . new users after 2000, and <br /> . water conservation occuuing from natural replacement of water fixtures. <br /> For existing users, the forecasts 'assume that the indoor and outdoor water use patterns <br /> experienced in 2000 will remain constant, except for the explicit accounting for water <br /> conservation occwring from natural replacement of water fIXtures. For new single-family <br /> customers, the 2000 water use coefficients are used as derived from homes built between <br /> 1993-2000 as they are deemecho be the most representative ofthc future. For the new <br /> multiple family customers, we use thecoefficicnts associated with sites with over 25 <br /> dwelling l.mits; most if not all new multiple family growth is expected by the RWC <br /> Planning Depanment to be large-scale projects. <br /> Page 6 <br /> ",~~ <br />
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