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With energy consumption set to become one of the biggest issues in the daily lives of householders around the world, this book could not be more relevant – despite the fact that it focuses on India. Pachauri adopts a socio-economic approach to analyzing the energy system and energy consumption in India from a household perspective. The work also incorporates two crucial aspects often ignored: namely, the importance of non-commercial sources of energy, and diversity in the patterns of energy usage.
This book provides a comprehensive analysis of household consumption patterns in five key areas: food, tourism-related travel, energy, water and waste generation.
Originally published in 1983, Energy and Household Expenditure Patterns claimed that two-thirds of energy consumption in the United States came from households. This study aimed to estimate the expected changes in household activities and how this would affect energy consumption in the country as a whole. Also discussed are implications of direct energy purchases and spending on energy goods in households as well as predicting the growth in energy consumption leading up to the year 2000. This title will be of interest to students of Environmental Studies and Economics.
The lighting of both exteriors and interiors is a field within electrical and lighting engineering, where important technological changes have been taking place oriented towards environmental sustainability and energy efficiency. LED technology has been gradually gaining ground in the world of lighting over other technologies due to its high lighting and energy efficiency and savings. However, some problems related to overheating or associated regulation are emerging. This has prompted the search for new, more efficient, and sustainable forms of lighting. This book presents successful cases related to energy efficiency and lighting that may be of great interest to those trying to enter the world of scientific research.
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.
This book is primarily based on data from the third analysis of domestic energy consumption, and it combines the conclusive summarizes from the previous two investigations. The book sets out to extend the spatial dimension of the research to a global one and discusses future development of domestic energy consumption from a global perspective. Additionally, the book seeks to discover general rules and diversity features via comparison, domestic vs. global. Future predictions via observations and summaries of history are provided for the reader in this volume as well. The studies in this volume not only provide a basic and supportive index for academic research, but also provide readers with a concrete sketch for people to understand energy use in their day-to-day lives, and it provides policy makers with fundamental, need-to-know data.
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.