[PDF] An Analysis Of Household Energy Use By Racial Ethnic Composition eBook

Author : Carlos Valenzuela
Publisher :
Page : 226 pages
File Size : 13,92 MB
Release : 2013
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The goal of this dissertation is to provide the most recent household energy consumption analysis by racial/ethnic household composition. This dissertation found that significant differences in behavior, energy consumption, and energy efficiency exist by racial/ethnic household composition. The models suggest that behavioral energy intensity is lower among households led by racial/ethnic minorities. Energy consumption and efficiency models suggest that Hispanic households consume less energy and are more efficient, while Black households consume more energy and are less efficient, than White households. However, when stratifying the models by housing vintage, the differences between Hispanic and White households are not consistent. Differences between Black and White households are evident only among those in housing units built before 1980, indicating that Black households in older vintages live in less efficient housing units and could be at a disadvantage that could result in having to pay a higher share of household income on energy use. Results also point towards evidence that energy efficiency standards since the late 1970s could have actually mitigated potential inequality associated with excess energy use by race/ethnicity. Improving energy efficiency of housing units may be beneficial not only to reduce total energy consumption levels, but also have the potential to lessen the burden of energy costs that lower income households (irrespective of race/ethnicity) might experience otherwise.

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Page : 0 pages
File Size : 30,17 MB
Release : 2023
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The high energy consumption from residential buildings provides them large potential to participate in demand response programs. To design appropriate demand response programs for residential buildings, it is important for electric utilities to know the energy consumption characteristics for different types of households so that utilities can send requests to the groups with a higher possibility to successfully respond. In this paper, we develop a load model to generate synthetic load profiles for different types of households incorporating demographical information including Current Population Survey data set and American Time Use Survey data set. The details of each data set and the details of the load models are presented. The synthetic household load profiles are generated by the load model and clustered into different groups based on state, age, number of occupants, income level, and city of the household. The average energy consumption characteristics for different groups of households are analyzed and compared, which will help electric utilities issue demand response signals to appropriate households.

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Page : 0 pages
File Size : 38,89 MB
Release : 2023
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The high energy consumption from residential buildings provides them large potential to participate in demand response programs. To design appropriate demand response programs for residential buildings, it is important for electric utilities to know the energy consumption characteristics for different types of households so that utilities can send requests to the groups with a higher possibility to successfully respond. In this paper, we develop a load model to generate synthetic load profiles for different types of households incorporating demographical information including Current Population Survey data set and American Time Use Survey data set. The details of each data set and the details of the load models are presented. The synthetic household load profiles are generated by the load model and clustered into different groups based on state, age, number of occupants, income level, and city of the household. The average energy consumption characteristics for different groups of households are analyzed and compared, which will help electric utilities issue demand response signals to appropriate households.

Author : Nanako Tenjin
Publisher :
Page : pages
File Size : 26,94 MB
Release : 2013
Category :
ISBN : 9781303154812

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Many have studied residential energy use in relation with appliance types and efficiency, dwelling types, behavior, socio–demographics, and geography. Yet little is understood about the interrelations among the variables in the context of energy use. We used data collected through residential energy surveys from two neighborhoods in California. Path analysis models with emphasis on the appliance characteristics, appliance usage, and household energy use were developed and statistically tested. Our study showed that even a simple demographic variable like household size has unique effect channels on household energy use and also the channel was significant in one neighborhood but not in the other. While our model leaves much to be improved, the model supports a framework of energy use to explain energy use from a behavioral perspective in which household decisions were related to socio–demographic characteristics but neighborhood difference also plays a major role.

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Page : 39 pages
File Size : 17,93 MB
Release : 1992
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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 : Ingrid R. G. Waldron
Publisher : Fernwood Publishing
Page : 191 pages
File Size : 11,24 MB
Release : 2018-07-04T00:00:00Z
Category : Social Science
ISBN : 177363058X

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In “There’s Something In The Water”, Ingrid R. G. Waldron examines the legacy of environmental racism and its health impacts in Indigenous and Black communities in Canada, using Nova Scotia as a case study, and the grassroots resistance activities by Indigenous and Black communities against the pollution and poisoning of their communities. Using settler colonialism as the overarching theory, Waldron unpacks how environmental racism operates as a mechanism of erasure enabled by the intersecting dynamics of white supremacy, power, state-sanctioned racial violence, neoliberalism and racial capitalism in white settler societies. By and large, the environmental justice narrative in Nova Scotia fails to make race explicit, obscuring it within discussions on class, and this type of strategic inadvertence mutes the specificity of Mi’kmaq and African Nova Scotian experiences with racism and environmental hazards in Nova Scotia. By redefining the parameters of critique around the environmental justice narrative and movement in Nova Scotia and Canada, Waldron opens a space for a more critical dialogue on how environmental racism manifests itself within this intersectional context. Waldron also illustrates the ways in which the effects of environmental racism are compounded by other forms of oppression to further dehumanize and harm communities already dealing with pre-existing vulnerabilities, such as long-standing social and economic inequality. Finally, Waldron documents the long history of struggle, resistance, and mobilizing in Indigenous and Black communities to address environmental racism.

Author : National Academies of Sciences, Engineering, and Medicine
Publisher : National Academies Press
Page : 583 pages
File Size : 16,50 MB
Release : 2017-04-27
Category : Medical
ISBN : 0309452961

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In the United States, some populations suffer from far greater disparities in health than others. Those disparities are caused not only by fundamental differences in health status across segments of the population, but also because of inequities in factors that impact health status, so-called determinants of health. Only part of an individual's health status depends on his or her behavior and choice; community-wide problems like poverty, unemployment, poor education, inadequate housing, poor public transportation, interpersonal violence, and decaying neighborhoods also contribute to health inequities, as well as the historic and ongoing interplay of structures, policies, and norms that shape lives. When these factors are not optimal in a community, it does not mean they are intractable: such inequities can be mitigated by social policies that can shape health in powerful ways. Communities in Action: Pathways to Health Equity seeks to delineate the causes of and the solutions to health inequities in the United States. This report focuses on what communities can do to promote health equity, what actions are needed by the many and varied stakeholders that are part of communities or support them, as well as the root causes and structural barriers that need to be overcome.

Author :
Publisher :
Page : 52 pages
File Size : 40,6 MB
Release : 1991
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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 : Patrick N. Canning
Publisher : DIANE Publishing
Page : 39 pages
File Size : 15,33 MB
Release : 2010
Category : Science
ISBN : 1437930336

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This is a print on demand edition of a hard to find publication. Energy is an important input in growing, processing, packaging, distributing, storing, preparing, serving, and disposing of food. In the U.S., use of energy along the food chain for food purchases by or for U.S. households increased between 1997 and 2002 at more than six times the rate of increase in total domestic energy use. This increase in food-related energy flows is over 80% of energy flow increases nationwide over the period. The use of more energy-intensive technologies throughout the U.S. food system accounted for half of this increase, with the remainder attributed to population growth and higher real per capita food expenditures. Food-related energy use as a share of the national energy budget grew from 14.4% in 2002 to 15.7% in 2007. Illus.