Window-Related Energy Consumption in the US Residential and Commercial Building Stock
Window-Related Energy Consumption in the US Residential and Commercial Building Stock
复制标题
美国住宅和商业建筑存量中与窗户相关的能源消耗
DOI:
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发表时间:
2008
期刊:
影响因子:
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通讯作者:
D. Arasteh
中科院分区:
文献类型:
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作者:
J. Apte;D. Arasteh
Window-Related Energy Consumption in the US Residential and Commercial Building Stock J oshua Apte and Dariush Arasteh, Lawrence Berkeley National Laboratory LBNL-60146 Abstract We present a simple spreadsheet-based tool for estimating window-related energy consumption in the United States. Using available data on the properties of the installed US window stock, we estimate that windows are responsible for 2.15 quadrillion Btu (Quads) of heating energy consumption and 1.48 Quads of cooling energy consumption annually. We develop estimates of average U-factor and SHGC for current window sales. We estimate that a complete replacement of the installed window stock with these products would result in energy savings of approximately 1.2 quads. We demonstrate that future window technologies offer energy savings potentials of up to 3.9 Quads. Introduction According to the US Department of Energy, in 2003 space conditioning in residential and commercial buildings was responsible for 9.19 quadrillion Btu (Quads) of site energy consumption, and 12.03 Quads of primary (source) consumption (US DOE Office of Energy Efficiency and Renewable Energy 2005). Although windows are generally understood to be an important driver of space conditioning energy consumption, few studies have directly investigated the energy impacts of windows at the national level. In this study, we introduce a simple spreadsheet-based tool for estimating the national energy impacts of windows in residential and commercial buildings. After presenting estimates of current window-related energy consumption in the US building stock, we discuss the energy savings potential of various technology scenarios. Methods and Results This section is divided into two sub-sections. In the first section, we describe the techniques and assumptions involved in estimating the window-related energy consumption of the US building stock. In the second section, we describe the process we used to estimate the energy-savings potential of various window technologies. Window-Related Energy Consumption of Building Stock General Approach In order to estimate the energy consumption attributable to the US window stock, we used a combination of top-down and bottom-up approaches. First, we compiled a set of estimates of total space conditioning energy consumption in the US building stock, broken down by sector (residential, commercial) and conditioning mode (heating, cooling). Second, for each of these four aggregated end use categories, we combined building energy simulations with market and survey data to estimate the fraction of total energy consumption attributable to windows. We then estimated the window-related space conditioning energy consumption for each end use category by multiplying total space conditioning energy consumption by the window-related fraction of that