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Author:
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ISBN:
Category : Dwellings
Languages : en
Pages : 252
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Author: Robert Kemp Roulston
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Category :
Languages : en
Pages : 138
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Author:
Publisher:
ISBN:
Category : Dwellings
Languages : en
Pages : 462
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Author:
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Category :
Languages : en
Pages : 39
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In this paper a descriptive analysis of the relationship between energy consumption, patterns of energy use, and housing stock variables is presented. The purpose of the analysis is to uncover evidence of variations in energy consumption and expenditures, and patterns of energy use between majority households (defines as households with neither a black nor Hispanic head of household), black households (defined as households with a black head of household), and Hispanic households (defined as households with a Hispanic head of household) between 1980 (time of the first DOE/EIA Residential Energy Consumption Survey, 1982a) and 1987 (time of the last DOE/EIA Residential Energy Consumption Survey, 1989a). The analysis is three-dimensional: energy consumption and expenditures are presented by time (1980 to 1987), housing vintage, and housing type. A comparative analysis of changes in energy variables for the three population groups -- majority, black, and Hispanic -- within and between specific housing stock categories is presented.
Author:
Publisher:
ISBN:
Category : Dwellings
Languages : en
Pages : 296
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Author:
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Category :
Languages : en
Pages : 29
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In this report, tests of statistical significance of five sets of variables with household energy consumption (at the point of end-use) are described. Five models, in sequence, were empirically estimated and tested for statistical significance by using the Residential Energy Consumption Survey of the US Department of Energy, Energy Information Administration. Each model incorporated additional information, embodied in a set of variables not previously specified in the energy demand system. The variable sets were generally labeled as economic variables, weather variables, household-structure variables, end-use variables, and housing-type variables. The tests of statistical significance showed each of the variable sets to be highly significant in explaining the overall variance in energy consumption. The findings imply that the contemporaneous interaction of different types of variables, and not just one exclusive set of variables, determines the level of household energy consumption.
Author: Martha M. Johnson
Publisher:
ISBN:
Category : Dwellings
Languages : en
Pages : 100
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Author: Bonnie Maas Morrison
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Category : Energy conservation
Languages : en
Pages : 508
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Author:
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Category :
Languages : en
Pages : 52
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Few models attempt to assess and project household energy consumption and expenditure by taking into account differential household choices correlated with such variables as race, ethnicity, income, and geographic location. The Minority Energy Assessment Model (MEAM), developed by Argonne National Laboratory (ANL) for the US Department of Energy (DOE), provides a framework to forecast the energy consumption and expenditure of majority, black, Hispanic, poor, and nonpoor households. Among other variables, household energy demand for each of these population groups in MEAM is affected by housing factors (such as home age, home ownership, home type, type of heating fuel, and installed central air conditioning unit), demographic factors (such as household members and urban/rural location), and climate factors (such as heating degree days and cooling degree days). The welfare implications of the revealed consumption patterns by households are also forecast. The paper provides an overview of the model methodology and its application in projecting household energy consumption under alternative energy scenarios developed by Data Resources, Inc., (DRI).
Author: Eric Hirst
Publisher:
ISBN:
Category : Dwellings
Languages : en
Pages : 80
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Author: Hossein Estiri
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ISBN:
Category : Dwellings
Languages : en
Pages : 147
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Despite efforts made in the past decade to curb excessive energy consumption and the corresponding greenhouse gas (GHG) emissions, both energy consumption and GHG emissions are expected to increase in coming years. Not only does such increasing trends epitomize the escalating, enduring human contribution to global warming, it verifies that our current policies are not working, at least not as well as expected or hoped. Globally, approximately a quarter of our total energy consumption is in the home, almost as much as in any other sector. Yet an understanding of the processes, determinants, and consequences of household energy consumption remains elusive. Conventional research on residential energy consumption has often applied linear methodologies and overwhelmingly focused on physical attributes of the housing stocks and systems. This approach, therefore, has failed: 1) to provide a coherent perspective of energy consumption processes, and 2) to account for the role of household behaviors. Accordingly, conventional energy policy has been left without the essential understanding of the phenomenon that would allow it to take effective action. To rectify issues with conventional research and policy, this research applies a non-linear and interdisciplinary approach to household energy consumption as an outcome of housing consumption and choice behaviors. Using data from the latest Residential Energy Consumption Survey, I use a set of Structural Equation Models to estimate the direct, indirect, and total effects of household and housing characteristics on energy use. Outcomes demonstrate that household characteristics have an indirect effect on energy consumption by influencing housing unit attributes, the housing choice effect on energy consumption. That is, a household's choice of housing unit has a permanent effect on the household's energy consumption, as an outcome, up until they relocate. Results of this study show that, accounting for the housing choice effects, the overall effect of household characteristics on energy consumption is almost twice as important as anticipated by conventional research. This study's findings highlight the role of housing choice and consumption behaviors in shaping residential energy consumption patterns. Energy consumption is expected to increase due to inevitable sociodemographic and economic changes. In addition to investing in improved building efficiencies and technologies, smart energy policies aimed at reducing energy consumption should promote more sustainable housing consumption behaviors and provide better housing choices.
