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Author: Feifei Yu (S.M.)
Publisher:
ISBN:
Category :
Languages : en
Pages : 113
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Book Description
Household in-home activities and out-of-home transportation are two major sources of urban energy consumption. In light of China's rapid urbanization and income growth, changing lifestyles and consumer patterns - evident in increased ownership of appliances and motor vehicles - will have a large impact on residential energy use in the future. The pattern of growth of Chinese cities may also play an intertwined role in influencing and being influenced by consumption patterns and, thus energy use. Nonetheless, models for evaluating energy demand often neglect the evolution of appliance & vehicle ownership and directly correlate consumption with static characteristics without explicit behavioral links. In this thesis I aim to provide a comprehensive method for understanding household energy behavior over time. Using household survey data and neighborhood form characteristics from Jinan, a mid-sized Chinese city, I explore the relationship between neighborhood design and household-level behaviors and their impact on final energy consumption. My ultimate goal is to provide the modeling engine for the "Energy Proforma©" a tool intended to help developers, designers, and policy-makers implement more energy-efficient neighborhoods. To predict in-home and transportation energy use, and their trade-offs, I develop an integrated household-level micro-simulation framework. The simulation tool is based on a total of eight inter-related behavioral models which estimate out-of-home energy use by predicting trip generation, mode choice and trip length for each household and in-home energy use according to different energy sources. In the various sub-models, relevant dimensions of neighborhood form and design are included as explanatory variables. These models are then combined with modules that update household demographics, appliance & vehicle ownership information, and activity trade-off patterns. These inter-linked models can then be used to estimate the long-term effects of neighborhood design on household energy consumption and greenhouse gas emissions. Unlike separate in-home or out-of-home energy demand models, I develop an integrated simulation framework for forecasting. It captures estimated trade-off effects between in-home and transportation energy-consuming behaviors. The approach produces indicators of detailed behavioral outcomes such as trip mode and trip length choice, making it easier to relate policies, such as mode-oriented strategies, to ultimate outcomes of interest. I ultimately aim to provide urban designers, developers, and policy makers a decision support tool to explore and compare long-term energy performance across proposed neighborhood development projects.
Author: Feifei Yu (S.M.)
Publisher:
ISBN:
Category :
Languages : en
Pages : 113
Get Book Here
Book Description
Household in-home activities and out-of-home transportation are two major sources of urban energy consumption. In light of China's rapid urbanization and income growth, changing lifestyles and consumer patterns - evident in increased ownership of appliances and motor vehicles - will have a large impact on residential energy use in the future. The pattern of growth of Chinese cities may also play an intertwined role in influencing and being influenced by consumption patterns and, thus energy use. Nonetheless, models for evaluating energy demand often neglect the evolution of appliance & vehicle ownership and directly correlate consumption with static characteristics without explicit behavioral links. In this thesis I aim to provide a comprehensive method for understanding household energy behavior over time. Using household survey data and neighborhood form characteristics from Jinan, a mid-sized Chinese city, I explore the relationship between neighborhood design and household-level behaviors and their impact on final energy consumption. My ultimate goal is to provide the modeling engine for the "Energy Proforma©" a tool intended to help developers, designers, and policy-makers implement more energy-efficient neighborhoods. To predict in-home and transportation energy use, and their trade-offs, I develop an integrated household-level micro-simulation framework. The simulation tool is based on a total of eight inter-related behavioral models which estimate out-of-home energy use by predicting trip generation, mode choice and trip length for each household and in-home energy use according to different energy sources. In the various sub-models, relevant dimensions of neighborhood form and design are included as explanatory variables. These models are then combined with modules that update household demographics, appliance & vehicle ownership information, and activity trade-off patterns. These inter-linked models can then be used to estimate the long-term effects of neighborhood design on household energy consumption and greenhouse gas emissions. Unlike separate in-home or out-of-home energy demand models, I develop an integrated simulation framework for forecasting. It captures estimated trade-off effects between in-home and transportation energy-consuming behaviors. The approach produces indicators of detailed behavioral outcomes such as trip mode and trip length choice, making it easier to relate policies, such as mode-oriented strategies, to ultimate outcomes of interest. I ultimately aim to provide urban designers, developers, and policy makers a decision support tool to explore and compare long-term energy performance across proposed neighborhood development projects.
Author: Shideh Shams Amiri
Publisher:
ISBN:
Category : Architectural Engineering
Languages : en
Pages : 0
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Book Description
The building and transportation sectors account for approximately 75% of CO2 emissions. Accurate forecasts of future energy usage are an important step towards reaching carbon mitigation commitments for city policymakers. Beyond identifying sources of emission intensity for a region, the forecast mechanism must be capable of compensating for gaps in available data and of accounting for the uncertainties behind the dynamics of an urban system. By considering a range of possible scenarios, the prediction model can identify recurring sources of high energy consumption and fine-tune areas of priority with incoming data. Although there are many studies dedicated to modeling techniques for predicting household building energy consumption, very few focus on household transportation energy consumption using household variables. Buildings connect different networks of transportation and influence transit patterns. Developing a robust and integrated residential, commercial, and transportation energy use model is useful for multiple planning purposes. This is crucial for future urban development; there is a critical need to analyze the integrated impacts of transportation infrastructure and building construction on the environment. Machine learning techniques in artificial intelligence (AI) predictive modeling have become popular in energy prediction due to their ability to capture nonlinear and complex relationships. Nevertheless, developing a comprehensive understanding of the inference mechanisms in AI models and ensuring trust in their predictions is challenging. This is because AI models are mostly of high complexity and low interpretability. There is a need to analyze the insights of energy models to interpret local and global features and to demonstrate how existing bottom-up approaches can augment scenario planning forecasts. This dissertation will address the abovementioned integration needs and interpretability challenges in the following four steps: (1) Examine four machine learning approaches for predicting household transportation energy consumption. These are decision trees, random forest, neural networks, and elastic net regularization analyses. These models will be compared in terms of both accuracy and interpretability. This step aims to determine the best ML application for transportation energy models. (2) Predict residential and commercial building energy demand by generating bottom-up models using datasets commonly available in the United States. (a) The residential model applies machine learning methods to match records in the Residential Energy Consumption Survey (RECS) with Public Use Microdata samples. This produces a synthetic household energy distribution at the neighborhood scale. (b) The commercial building energy model is generated by training machine learning models on national data from the Commercial Buildings Energy Consumption Survey (CBECS). Commercial building energy consumption is predicted at the building and household level in order to aggregate it with the residential (step 2a) and transportation models (step 1). (3) Evaluate model transparency and explainability for the residential, commercial, and transportation models produced in steps 1 and 2. The application of Local Interpretable Model-Agnostic Explanation (LIME) and SHAP (SHapley Additive exPlanations) will support advanced machine learning techniques in the transportation and building energy research. (4) Analyze the impact of alternative policy scenarios on urban energy consumption. Sustainability scenarios will be constructed from available projections of demographic and socioeconomic data for Philadelphia County. The goal of this step is to apply urban planning priorities to our models to inform our understanding of their predicted environmental outcomes. This project extends urban energy analysis by developing AI and XAI techniques for the three most energy intensive sectors of urban development. The integrated assessment of the transportation, residential and commercial sectors is critical to assessing and prioritizing urban planning scenarios for sustainable urban growth. These results are essential in decision-making among urban planners and building and transportation engineers.
Author:
Publisher: Elsevier
ISBN: 0080471714
Category : Social Science
Languages : en
Pages : 3870
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Book Description
Available online via SciVerse ScienceDirect, or in print for a limited time only, The International Encyclopedia of Housing and Home, Seven Volume Set is the first international reference work for housing scholars and professionals, that uses studies in economics and finance, psychology, social policy, sociology, anthropology, geography, architecture, law, and other disciplines to create an international portrait of housing in all its facets: from meanings of home at the microscale, to impacts on macro-economy. This comprehensive work is edited by distinguished housing expert Susan J. Smith, together with Marja Elsinga, Ong Seow Eng, Lorna Fox O'Mahony and Susan Wachter, and a multi-disciplinary editorial team of 20 world-class scholars in all. Working at the cutting edge of their subject, liaising with an expert editorial advisory board, and engaging with policy-makers and professionals, the editors have worked for almost five years to secure the quality, reach, relevance and coherence of this work. A broad and inclusive table of contents signals (or tesitifes to) detailed investigation of historical and theoretical material as well as in-depth analysis of current issues. This seven-volume set contains over 500 entries, listed alphabetically, but grouped into seven thematic sections including methods and approaches; economics and finance; environments; home and homelessness; institutions; policy; and welfare and well-being. Housing professionals, both academics and practitioners, will find The International Encyclopedia of Housing and Home useful for teaching, discovery, and research needs. International in scope, engaging with trends in every world region The editorial board and contributors are drawn from a wide constituency, collating expertise from academics, policy makers, professionals and practitioners, and from every key center for housing research Every entry stands alone on its merits and is accessed alphabetically, yet each is fully cross-referenced, and attached to one of seven thematic categories whose ‘wholes' far exceed the sum of their parts
Author: John Byrne
Publisher: Routledge
ISBN: 0429560559
Category : Business & Economics
Languages : en
Pages : 228
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Book Description
Originally published in 1985. This volume on household energy conditions considers the energy crisis in the United States and offers an important appraisal of the future of energy consumption by families and the family's adaptations to decreasing energy availability. The chapters in the first section investigate the cultural dimensions of energy use at the household level, looking at attitudes and trends. The second section considers energy policy, especially conservation, with a special chapter on elderly households, while the third presents case studies and projections of the future patterns and changes in energy consumption. This is a fascinating snapshot of thinking on families and the effects of energy use.
Author: Tatsuya Suzuki
Publisher: Springer Nature
ISBN: 3030336727
Category : Technology & Engineering
Languages : en
Pages : 209
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Book Description
This book provides key ideas for the design and analysis of complex energy management systems (EMS) for distributed power networks. Future distributed power networks will have strong coupling with (electrified) mobility and information-communication technology (ICT) and this book addresses recent challenges for electric vehicles in the EMS, and how to synthesize the distributed power network using ICT. This book not only describes theoretical developments but also shows many applications using test beds and provides an overview of cutting edge technologies by leading researchers in their corresponding fields. Describes design and analysis of energy management systems; Illustrates the synthesis of distributed energy management systems based on aggregation of local agents; Discusses dependability issues of the distributed EMS with emphasis on the verification scheme based on remote-operational hardware-in-the-loop (HIL) simulation and cybersecurity.
Author: Marta Lopes
Publisher: Academic Press
ISBN: 0128185678
Category :
Languages : en
Pages : 560
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Book Description
Changes to energy behaviour -- the role of people and organisations in energy production, use and efficiency -- are critical to supporting a societal transition towards a low carbon and more sustainable future. However, which changes need to be made, by whom, and with what technologies are still very much under discussion. This book, developed by a diverse range of experts, presents an international and multi-faceted approach to the sociotechnical challenge of engaging people in energy systems and vice versa. By providing a multidisciplinary view of this field, it encourages critical thinking about core theories, quantitative and qualitative methodologies, and policy challenges. It concludes by addressing new areas where additional evidence is required for interventions and policy-making. It is designed to appeal to new entrants in the energy-efficiency and behaviour field, particularly those taking a quantitative approach to the topic. Concurrently, it recognizes ecological economist Herman Daly's insight: what really counts is often not countable. Introduces the major disciplinary and interdisciplinary approaches to understanding energy and behaviour Delivers a cross-sectoral overview including energy behaviour in buildings, industry, transportation, smart grids, and smart cities Reviews a selection of innovative energy behaviour modelling approaches, including agent-based modelling, optimization, and decision support Critically addresses the importance of interventions, policies, and regulatory design
Author:
Publisher:
ISBN:
Category : Energy policy
Languages : en
Pages : 290
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Book Description
Author: Junyi Zhang
Publisher: Elsevier
ISBN: 0128162848
Category : Business & Economics
Languages : en
Pages : 450
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Book Description
Transport and Energy Research: A Behavioral Perspective deals with the transport issues associated with energy from a behavioral perspective in an interdisciplinary and systematic way. Existing transport and energy research has focused on technologies and energy efficiency; however, more efficient technologies do not necessarily lead to energy reduction. Unfortunately, very limited behavioral research can be found in the literature. This book covers major transport modes in major countries. It emphasizes the importance of researching the behaviors of not only transport and energy service users, but also transport and energy service providers, policy makers, organizations, company managers, and other stakeholders who are involved in and/or affected by transport and energy policies. It not only overviews the history of relevant research and presents new developments but also extensively discusses the future research issues. Various findings are summarized for reducing energy consumption from a behavioral perspective. This book provides readers with behavioral insights into more effective policymaking. Behavioral interventions are recommended as a key policy instrument for reducing energy consumption in a sustainable way. It provides policy makers with comprehensive insights into making more effective policies over the whole process of policymaking. The book can serve as a handbook for researchers and a textbook for graduate students in the fields of transport, energy, environment, planning, public policy, behavioral studies, and so on. Examines transport and domestics issues associated with energy from a behavioral perspective in both an interdisciplinary and comprehensive way Offers an overview of current relevant research and the most recent developments Provides rich information about future research trends and innovative insights into effective policymaking
Author: Feng Chen
Publisher: Springer Science & Business Media
ISBN: 3642346510
Category : Business & Economics
Languages : en
Pages : 1025
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Book Description
The LTLGB 2012 conference is intended to bring together researchers and related government officials involved in low carbon transportation, low carbon logistics and green building, industrial practitioners to present, discuss and exchange ideas, results and experiences in the area of low carbon transportation, low carbon logistics and green building and interdisciplinary applications.
Author: Virginia Bemis
Publisher: Routledge
ISBN: 0429556071
Category : Business & Economics
Languages : en
Pages : 248
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Book Description
Originally published in 1977. This annotated guide to sources of information on the social science aspects of energy and energy alternatives describes materials and sources of interest to users at all levels. The chapters separate information according to the type of material or the issuing organization. The index classifies according to type of energy, or energy issue. The final chapter is a special section of listings of empirical social science studies on energy and the energy crisis which contain detailed annotation on the methods, variables and findings. Those research projects cover attitudes, behavior, costs, policy and other energy-related matters.
