Behavioral Responses to Real-time Individual Energy Usage Information PDF Download
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Author: Magali A. Delmas
Publisher:
ISBN:
Category : Behavior modification
Languages : en
Pages : 60
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Book Description
Author: Magali A. Delmas
Publisher:
ISBN:
Category : Behavior modification
Languages : en
Pages : 60
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Book Description
Author: Daniel Fredman
Publisher:
ISBN:
Category : Economics
Languages : en
Pages : 290
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Book Description
Our energy system is rapidly transforming, partially due to advances in internet and communications technologies that leverage an unprecedented amount of data. Industry proponents of the so-called "smart grid" suggest these technologies facilitate deeper engagement with end-users of energy (utility customers) that can in turn drive behavior-based changes and accelerate a renewable energy transition. While there has been progress in understanding how these technologies change consumer behavior using, for example, real-time feedback, it's unclear how specific segments (e.g., renters) respond to these interventions; it's also unclear why feedback is, or is not, producing changes in energy consumption. The literature suggests that behavioral strategies (e.g. information feedback, competitions, incentives) coupled with technology may present a way for utilities and efficiency programs to create savings--expanding opportunities for those often underserved by traditional approaches, such as renters--yet this coupling is not well understood, neither broadly (for all end users) nor specifically (for renters). This dissertation builds upon that literature and explores a human side of the smart grid, using a field experiment in renter households to test the interacting effects of real-time energy feedback and a novel form of financial incentive, referred to here as a competitive performance-based incentive. The experiment had two phases: phase one tested the feedback against a control group; phase two tested feedback, the incentive, and a combined treatment, against a control group. Results of these interventions were measured with pre- and post-treatment surveys as well as observed electricity consumption data from each household's smart meter. The results of this experiment are described in three papers. Paper one examines the interventions' individual and combined effectiveness at motivating renters to reduce or shift timing of electricity consumption. Feedback alone produced a significant savings effect in phase one. In phase two, the effect of the feedback wore off; the incentive alone had no significant effect; and the group that received feedback and the incentive experienced a doubling of savings relative to the effect of feedback alone, as observed in phase one. Paper two uses pre- and post-intervention survey data to examine how individual perceptions of energy change as a result of the interventions. Perception of large energy-using appliances changed the most in households that received feedback, suggesting that better information may lead to more effective behavior changes. Paper three leverages the results of the first two components to evaluate the policy implications and impacts on demand side management for utilities, efficiency programs, and the potential for behavior-based energy efficiency programs. Advocates of the smart grid must recognize the technology alone cannot produce savings without better engagement of end-users. Utility rate designers must carefully consider how time-based rates alone may over-burden those without the enabling technology to understand the impact of their energy choices.
Author: Shaily Ruhgta
Publisher:
ISBN:
Category : Dwellings
Languages : en
Pages : 161
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Book Description
Residential energy consumption accounts for 22% of the total energy use in the United States. The consumer's perception of energy usage and conservation are very inaccurate which is leading to growing number of individuals who try to seek out ways to use energy more wisely. Hence behavioral change in consumers with respect to energy use, by providing energy use feedback may be important in reducing home energy consumption. Real-time energy information feedback delivered via technology along with feedback interventions has been reported to produce up to 20 percent declines in residential energy consumption through past research and pilot studies. There are, however, large differences in the estimates of the effect of these different types of feedback on energy use. As part of the Energize Phoenix Program, (a U.S. Department of Energy funded program), a Dashboard Study was conducted by the Arizona State University to estimate the impact of real-time, home-energy displays in conjunction with other feedback interventions on the residential rate of energy consumption in Phoenix, while also creating awareness and encouragement to households to reduce energy consumption. The research evaluates the effectiveness of these feedback initiatives. In the following six months of field experiment, a selected number of low-income multi-family apartments in Phoenix, were divided in three groups of feedback interventions, where one group received residential energy use related education and information, the second group received the same education as well as was equipped with the in-home feedback device and the third was given the same education, the feedback device and added budgeting information. Results of the experiment at the end of the six months did not lend a consistent support to the results from literature and past pilot studies. The data revealed a statistically insignificant reduction in energy consumption for the experiment group overall and inconsistent results for individual households when compared to a randomly selected control sample. However, as per the participant survey results, the study proved effective to foster awareness among participating residents of their own patterns of residential electricity consumption and understanding of residential energy use related savings.
Author: Mesfer Alrizq
Publisher:
ISBN:
Category : Consumer behavior
Languages : en
Pages : 113
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Book Description
With the deployment of smart grid technologies and Advanced Metering Infrastructure, demand side management via feedback is a subject of interest to utility companies and researchers for modeling consumer behavior. Home area devices, such as in-home displays and smart appliances, are being developed and implemented to achieve real-time feedback. Near real-time feedback provided via Advanced Metering Infrastructure is used to change the consumers’ electricity consumption behavior and to conserve scarce resources. Analyses on the effects of real-time feedback show improvements in energy conservation, but the improvements are not as expected. This is due to the fact that altering human behavior is not an easy task, and not all react in the same way to a similar feedback. Modeling consumer behavior helps to understand their reactions toward different types of feedback, and hence allows for the categorization of the feedback and its relevance to a specific consumer category. This research focuses on two main tasks: (1) modeling human behavior for residential electricity consumption, and (2) identifying different consumer behavioral categories and feedback sets for each consumer behavioral category. The first task addresses load profile (electricity consumption) data needed by electric utility companies for expansion planning, in view of the evolution of smart grid and distributed energy resource concepts. Conventional methods of collecting the load profile data, such as surveys and metering, are tedious and time-consuming activities. Consumer demand, as well as continuous technological evolution, contributes to rendering data obsolete in a short period of time. For these reasons, the conventional methods pose barriers for electric utility companies. In response, this research presents an innovative behavior model for generating electricity consumption load profiles. The model will be narrowed to focus on consumption-based decision-making that is related to human comfort and to the consumer’s state of mind. Based on fuzzy logic and activity graphs, the method requires minimum consumer data and can be easily updated to adapt to changes in technology. We demonstrate the accuracy of our model against real world data. The goal of the second task is to analyze behavior change by using a multi-agent-based system, in order to eventually improve energy consumption. Analyses of behavior change have been based on surveys or face-to-face interviews. These methods are inefficient and time consuming and do not always measure the impact on energy consumption, besides suffering from difficulties related to the sample size. Therefore, we propose a multi-agent-based system to study the effects of feedback on different types of consumers. An evaluation is performed on the factors that influence the changes in consumer behavior positively and negatively. Consumer categories are generated based on their behavioral responses to given feedback. The feedback methods that are most effective for each category are evaluated and identified.
Author: Alfred E. Kahn
Publisher: MIT Press
ISBN: 9780262610520
Category : Business & Economics
Languages : en
Pages : 620
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Book Description
As Chairman of the Civil Aeronautics Board in the late 1970s, Alfred E. Kahn presided over the deregulation of the airlines and his book, published earlier in that decade, presented the first comprehensive integration of the economic theory and institutional practice of economic regulation. In his lengthy new introduction to this edition Kahn surveys and analyzes the deregulation revolution that has not only swept the airlines but has transformed American public utilities and private industries generally over the past seventeen years. While attitudes toward regulation have changed several times in the intervening years and government regulation has waxed and waned, the question of whether to regulate more or to regulate less is a topic of constant debate, one that The Economics of Regulation addresses incisively. It clearly remains the standard work in the field, a starting point and reference tool for anyone working in regulation.Kahn points out that while dramatic changes have come about in the structurally competitive industries - the airlines, trucking, stock exchange brokerage services, railroads, buses, cable television, oil and natural gas - the consensus about the desirability and necessity for regulated monopoly in public utilities has likewise been dissolving, under the burdens of inflation, fuel crises, and the traumatic experience with nuclear plants. Kahn reviews and assesses the changes in both areas: he is particularly frank in his appraisal of the effect of deregulation on the airlines. His conclusion today mirrors that of his original, seminal work - that different industries need different mixes of institutional arrangements that cannot be decided on the basis of ideology.
Author: Benedetto Nastasi
Publisher: MDPI
ISBN: 3039362186
Category : Science
Languages : en
Pages : 218
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Book Description
Open data and policy implications coming from data-aware planning entail collection and pre- and postprocessing as operations of primary interest. Before these steps, making data available to people and their decision-makers is a crucial point. Referring to the relationship between data and energy, public administrations, governments, and research bodies are promoting the construction of reliable and robust datasets to pursue policies coherent with the Sustainable Development Goals, as well as to allow citizens to make informed choices. Energy engineers and planners must provide the simplest and most robust tools to collect, process, and analyze data in order to offer solid data-based evidence for future projections in building, district, and regional systems planning. This Special Issue aims at providing the state-of-the-art on open-energy data analytics; its availability in the different contexts, i.e., country peculiarities; and its availability at different scales, i.e., building, district, and regional for data-aware planning and policy-making. For all the aforementioned reasons, we encourage researchers to share their original works on the field of open data and energy analytics. Topics of primary interest include but are not limited to the following: 1. Open data and energy sustainability; 2. Open data science and energy planning; 3. Open science and open governance for sustainable development goals; 4. Key performance indicators of data-aware energy modelling, planning, and policy; 5. Energy, water, and sustainability database for building, district, and regional systems; 6. Best practices and case studies.
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: OECD
Publisher: OECD Publishing
ISBN: 9264273883
Category :
Languages : en
Pages : 152
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Book Description
This report reviews recent developments in the application of behavioural insights to encourage more sustainable consumption, investment and compliance decisions by individuals and firms.
Author: Anastasios Dounis
Publisher: MDPI
ISBN: 3039214152
Category : Science
Languages : en
Pages : 508
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Book Description
The editors of this Special Issue titled “Intelligent Control in Energy Systems” have attempted to create a book containing original technical articles addressing various elements of intelligent control in energy systems. In response to our call for papers, we received 60 submissions. Of those submissions, 27 were published and 33 were rejected. In this book, we offer the 27 accepted technical articles as well as one editorial. Authors from 15 countries (China, Netherlands, Spain, Tunisia, United Sates of America, Korea, Brazil, Egypt, Denmark, Indonesia, Oman, Canada, Algeria, Mexico, and the Czech Republic) elaborate on several aspects of intelligent control in energy systems. The book covers a broad range of topics including fuzzy PID in automotive fuel cell and MPPT tracking, neural networks for fuel cell control and dynamic optimization of energy management, adaptive control on power systems, hierarchical Petri Nets in microgrid management, model predictive control for electric vehicle battery and frequency regulation in HVAC systems, deep learning for power consumption forecasting, decision trees for wind systems, risk analysis for demand side management, finite state automata for HVAC control, robust μ-synthesis for microgrids, and neuro-fuzzy systems in energy storage.
Author: Alessandro Bucciol
Publisher: Taylor & Francis
ISBN: 1000826988
Category : Business & Economics
Languages : en
Pages : 419
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Book Description
Humans have long neglected to fully consider the impact of their behaviour on the environment. From excessive consumption of fossil fuels and natural resources to pollution, waste disposal, and, in more recent years, climate change, most people and institutions lack a clear understanding of the environmental consequences of their actions. The new field of behavioural environmental economics seeks to address this by applying the framework of behavioural economics to environmental issues, thereby rationalizing unexplained puzzles and providing a more realistic account of individual behaviour. This book provides a complete and rigorous overview of environmental topics that may be addressed and, in many instances, better understood by integrating a behavioural approach. This volume features state-of-the-art research on this topic by influential scholars in behavioural and environmental economics, focussing on the effects of psychological, social and cognitive factors on the decision-making process. It presents research performed using different methods and data collection mechanisms (e.g. laboratory experiments, field experiments, natural experiments, online surveys) on a variety of environmental topics (e.g. sustainability, natural resources). This book is a comprehensive and innovative tool for researchers and students interested in the behavioural economics of the environment and in the design of policy interventions aimed at reducing the human impact on the environment.
