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Estimating Actual Water Savings: A Different Approach

机译:估算实际水资源:一种不同的方法

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In 2007, Dallas launched a toilet replacement and rebate program, called New Throne for Your Home. The program offers a financial incentive to home and multi-family building owners to replace old toilets which use 3.5 gallons per flush (gpf) or more with modern, lowflow toilets that use less than 1.6 gpf. Since its inception, over 21,000 toilets have been replaced. In an effort to determine the true water savings and cost-benefits derived from the New Throne program, statistical models were used to evaluate the program’s effectiveness. Traditional water savings estimates derived from engineering end-use studies heavily reliant on the technical characteristics of devices or programs have often proven to be inaccurate. As a result, Dallas used multiple linear regression models (MLR) to approximate actual water savings, while accounting for the factors of weather, seasonality and customer characteristics. The New Throne program was used to demonstrate the application. Over 2,200 New Throne program participants were selected for this study. Customer characteristics, seasonality, and weather effects were taken into account regarding both indoor and outdoor water use. An average of 1.66 high water use toilets were replaced per family. Our results indicate that each household reduced their monthly water usage by 982.5 gallons. This amount is 46.9% greater than engineering end-use study estimates of 669 gallons. In this case, the use of MLR models in lieu of engineering end-use studies signal the likelihood that greater water savings were actually achieved.
机译:2007年,达拉斯推出了一个厕所更换和折扣计划,称为新王位。该计划为家庭和多家庭建筑业主提供了财务激励,以取代使用每冲洗(GPF)或更多的使用3.5加仑的旧厕所,使用少于1.6 GPF的现代,低流量厕所。自成立以来,已被更换超过21,000桶。在努力确定真正的水资源节省和源自新宝座计划中的成本效益,统计模型用于评估程序的有效性。传统的储蓄估计来自工程最终用途研究严重依赖于设备或程序的技术特征,经常被证明是不准确的。因此,达拉斯使用多元线性回归模型(MLR)来近似实际的水资源,同时占天气,季节性和客户特征的因素。新的宝座计划用于展示申请。为本研究选择了超过2,200个新的王位计划参与者。考虑到室内和室外用水的客户特征,季节性和天气效果。平均每家庭更换1.66个高水平的厕所。我们的结果表明,每个家庭将每月的每月减少982.5加仑。比工程最终用途研究估计为669加仑,此金额为46.9%。在这种情况下,使用MLR模型代替工程最终用途研究表明了实际达到了更高水资源的可能性。

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