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Sharing Economy in Energy Markets

Modeling, Analysis and Mechanism Design

Ming Zhou author Haiwang Zhong author Jianxiao Wang author Qing Xia author Gengyin Li author

Format:Paperback

Publisher:Springer Verlag, Singapore

Published:20th Mar '23

Currently unavailable, and unfortunately no date known when it will be back

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Sharing Economy in Energy Markets cover

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.

ISBN: 9789811676475

Dimensions: unknown

Weight: unknown

318 pages

1st ed. 2022