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<br />. <br /> <br />Water Usage Factors and the Demand Forecast Model <br /> <br />. <br /> <br />Denver's demand forecasting model was originally developed as part of the Metropolitan <br />Denver Water Supply Environmental Impact Statement in the 1980s. Denver staff and <br />outside consultants engaged in extensi ve study of historical customer usage patterns to <br />estimate current and future usage factors. This permitted staff to develop an econometric <br />model to forecast future demands. Table IV-l presents the usage factors. The demand <br />model is displayed in Figure IV-3. For metered, single-family residential customers, the <br />model is much more informative and complex because of the additional data available <br />for this class of customers. The wealth of data leads to better predictive power. While <br />the model forecasts annual demands under average weather conditions, demand for <br />outdoor uses will vary with temperature, precipitation, and conservation achieved to <br />date. <br /> <br />. <br /> <br />. <br /> <br />Table IV.I <br />Usage Factors <br />(at the meter) <br /> <br />. <br /> <br />1990 <br />Gross <br /> <br />2045 2045 <br />Gross Net(2) <br /> <br />. <br /> <br />Single-Family Household(1) <br />Multifamily Household <br />Commercial/Industrial <br />Public <br /> <br />508 <br /> <br />538 447 <br />217 180 <br />45 35 <br />14 14 <br /> <br />Gallons per household/day <br />Gallons per household/day <br />Gallons per employee/day <br />Gallons per person/day <br /> <br />. <br /> <br />{I)Composite result of single-family usage factors for lot size, marginal price, median family income, <br />and persons per household <br />")Net of Conservation and Natural Replacement <br /> <br />Although Denver Water has always encouraged efficient water use, 1980 marked the <br />start of rigorous efforts to promote water conservation. By the end of 1994 Denver <br />Water customers had saved approximately 30,000 acre-feet annually based upon the <br />decline in gallons per account per day. The effect of these savings was incorporated into <br />the demand forecast. <br /> <br />. <br /> <br />. <br /> <br />. <br /> <br />28 <br /> <br />. <br />