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Szabados4. The report included electricity and natural gas use in residential, commercial and <br />industrial buildings, as well as public street, and highway lighting. Energy use associated with <br />publicly owned buildings was reported separately by David Szabados and counted within the <br />public buildings, street and highway lighting breakdown. It was taken out of the <br />commercial /industrial breakdown to avoid double counting. Based on the number of households <br />and square footage of commercial /industrial buildings in Louisville (data obtained from Dave <br />Szabados), energy intensities can be calculated in terms of electricity and natural gas used per <br />home and square foot of commercial/industrial space (see Table 5 Benchmark Comparisons). <br />Energy use was multiplied by an emission factor, also included in the Xcel Energy report. <br />Emissions factors were calculated to be 0.7835 kg -0O2e /kWh and 5.95 kg -0O2e /Therm for <br />electricity and natural gas respectively4. The electricity emission factor is based on Colorado's <br />energy generation mix, which in 2012 was comprised of 58% coal, 23% natural gas, and 19% <br />renewable sources5. <br />3.5 Transportation Sector <br />The transportation energy use in Louisville includes two main modes of transport: <br />• Personal & Commercial Motor Vehicles: Cars, trucks, and buses, modeled for the <br />entire Denver Regional Council of Governments (DRCOG) region, were combined to <br />obtain the miles of on -road travel attributable to Louisville. <br />• Airline Transport: Energy use associated with jet fuel consumption at Denver <br />International Airport (DIA) in 2012 attributable to Louisville. <br />3.5.1 On -Road Personal & Commercial Transportation <br />Annual vehicle miles travelled (VMT) for Louisville was computed using the demand and <br />polygon methodsl with data from the 2010 DRCOG regional transportation model rung. The <br />polygon method is a summation of miles travelled within the border of Louisville. The demand <br />method creates pairs of origin- destination zones and measures the distance of the shortest- travel- <br />time -path for each pair. This distance is multiplied by the number of trips taking place between <br />zones. In the DRCOG model, Louisville is made up of five zones. For trips that took place <br />wholly within Louisville, the total mileage was counted toward the VMT total. For trips <br />13 <br />15 <br />