Sharing Economy in Energy Markets

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This book aims to incorporate an emerging successful business model, i.e., sharing economy, into energy markets, thus digging out the potential merits and applications in multi-energy sectors. With the core idea access over ownership, sharing economy enables the collaborative consumption of idle resources through advanced information and communications technology. One critical challenge is to identify different market participants' occupation while accordingly designing pricing mechanisms. This book begins with an overview about the recent development of sharing economy in energy fields, and summarizes two energy market-related issues that sharing economy can hopefully address. One is how to quantify a marginal generator's contribution and thereby elicit truthful bidding under information asymmetry condition. The other is how to distinguish renewable and distributed energy resources' contribution and thus incentivize efficient aggregation considering increasing scale and uncertainty. Then sharing economy mechanisms are proposed and designed from a game theory perspective. On this basis, the following chapters thoroughly investigate the specific problems in spot markets, multi-area markets, renewable energy aggregation and energy systems integration. Additionally, the benefits brought by sharing economy are evaluated in terms of regional market bidding and transmission expansion deferral. Finally, the information and communications technologies related to sharing economy are modeled and analyzed. Hopefully, this book can greatly benefit the readers who are interested in energy economics and engineering.



Establishes as the first-of-its-kind book for sharing economy in energy markets Offers In-depth investigation about mechanism designs and mathematical models for energy sharing Includes Potential merits and applications of sharing economy in various energy markets

Autorentext
Jianxiao Wang

Assistant Professor in School of Electrical and Electronic Engineering at North China Electric Power University

Project Manager in Ministry of Science and Technology of China

IEEE Member

Standing Director and Secretary of IEEE PES China Conference Committee

Standing Director of IEEE PES China Power Market Subcommittee

Associate Editor of IET Renewable Power Generation

Associate Editor of IET Energy Conversion and Economics

Guest Editor of IEEE Transactions on Industry Applications

Member of Youth Committee of China Electrotechnical Society

Member of Chinese Society for Electrical Engineering

Member of China Energy Research Society

Member of IEEE Smart Buildings, Loads and Customer Systems Committee

Member of IEEE Working Group on IoT Technologies for Distributed Resources in a Clean Energy System

Research interests: Electricity Market and Mechanism Design, Hydrogen Supply Chain, EnergyStorage, Renewable-powered Smart Grid and Data Analytics.

Multi-Energy and Cyber Physical System Planning, Data Analytics for Smart Grid

Haiwang Zhong

Associate Professor in Department of Electrical Engineering at Tsinghua University

IEEE Senior Member

Editor of International Transactions on Electrical Energy Systems

Subject Editor of Journal of Modern Power System and Clean Energy

Editor of CSEE Journal of Power and Energy Systems

Co-Chair of IEEE Working Group on Demand Response

Secretary of IEEE Smart Buildings, Loads and Customer Systems Committee, Architecture Subcommittee

Secretary of CIGRE D2.53 Working Group on Technology and Application of Internet of Things in Power Systems

Research interests: Energy Internet, Smart Grid, Electricity Market, Power System Operations, Demand Response, Renewable Energy

Qing Xia

Professor in Department of Electrical Engineering at Tsinghua University

IEEE Senior Member

Senior Member of Chinese Society for Electrical Engineering

Director of Energy Internet Research Institute of Tsinghua University

Consulting Expert on Electric Power Industry Reform of National Development and Reform Commission

Consulting Expert on Energy Resource Planning of National Energy Administration

Director of China Energy Research Society

Director of Chinese Society for Electrical Engineering

Editor of Automation of Electric Power Systems

Research interests: Power Economics and Electricity market, Power System Load Forecasting, Power System Economic Operation, Generation & Transmission Expansion Planning, Optimization Application in Power Systems


Gengyin Li

Professor in School of Electrical and Electronic Engineering at North China Electric Power University

IEEE Member

Senior Member of Chinese Society for Electrical Engineering

Director of Beijing Energy andPower Information Security Engineering Technology Research Center

Research interests: Power System Analysis and Control, HVDC Transmission, Power Quality, Power System Economics and Emerging Transmission and Distribution Technologies


Ming Zhou

Professor in School of Electrical and Electronic Engineering at North China Electric Power University

IEEE Senior Member

Director of Power System Research Institute at North China Electric Power University

Research interests: Renewables Power System Planning and Operation, Power System Economics, Energy Storage

Inhalt

Introduction and Motivation.- Mechanism Design for Sharing Economy.- Sharing Economy in Spot Markets.- Sharing Economy in Multi-Area Electricity Markets.- Sharing Economy for Renewable Energy Aggregation.- Sharing Economy in Energy Systems Integration.- Sharing Demand Side Resources for Regional Market Bidding.- Sharing Non-Wire Alternatives for Transmission Expansion Deferral.- Information and Communications Technology for Sharing Economy.- Future Research on Sharing Economy.

Weitere Informationen

  • Allgemeine Informationen
    • Sprache Englisch
    • Anzahl Seiten 332
    • Herausgeber Springer Nature Singapore
    • Gewicht 505g
    • Untertitel Modeling, Analysis and Mechanism Design
    • Autor Jianxiao Wang , Haiwang Zhong , Ming Zhou , Gengyin Li , Qing Xia
    • Titel Sharing Economy in Energy Markets
    • Veröffentlichung 20.03.2023
    • ISBN 981167647X
    • Format Kartonierter Einband
    • EAN 9789811676475
    • Jahr 2023
    • Größe H235mm x B155mm x T19mm
    • Lesemotiv Verstehen
    • Auflage 1st edition 2022
    • GTIN 09789811676475

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