Community Energy Networks With Storage Modeling Frameworks for Distr
This book addresses the problem of building an optimal community energy network in a decentralized distributed energy context. The book introduces a few novel modeling frameworks to assist a single customer or a community of multiple end-user customers in
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Kaveh Rajab Khalilpour Anthony Vassallo
Community Energy Networks With Storage Modeling Frameworks for Distributed Generation
Green Energy and Technology
More information about this series at http://www.springer.com/series/8059
Kaveh Rajab Khalilpour Anthony Vassallo
Community Energy Networks With Storage Modeling Frameworks for Distributed Generation
123
Kaveh Rajab Khalilpour School of Chemical and Biomolecular Engineering University of Sydney Sydney, NSW Australia
ISSN 1865-3529 Green Energy and Technology ISBN 978-981-287-651-5 DOI 10.1007/978-981-287-652-2
Anthony Vassallo School of Chemical and Biomolecular Engineering University of Sydney Sydney, NSW Australia
ISSN 1865-3537
(electronic)
ISBN 978-981-287-652-2
(eBook)
Library of Congress Control Number: 2016932518 © Springer Science+Business Media Singapore 2016 This work is subject to copyright. All rights are reserved by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed. The use of general descriptive names, registered names, trademarks, service marks, etc. in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use. The publisher, the authors and the editors are safe to assume that the advice and information in this book are believed to be true and accurate at the date of publication. Neither the publisher nor the authors or the editors give a warranty, express or implied, with respect to the material contained herein or for any errors or omissions that may have been made. Printed on acid-free paper This Springer imprint is published by Springer Nature The registered company is Springer Science+Business Media Singapore Pte Ltd.
Preface
In many countries, the electricity sector is undergoing a profound change—the biggest in its 100 year history. The conjunction of some major drivers—such as the need to decarbonize the power industry—and megatrends towards more distributed, renewable systems, is forcing massive change in the industry. Concurrently, the need to expand electrification to an additional 1 billion people in India, Africa, and parts of Asia combined with the convergence of digital technology, and new distributed power generation technologies has opened up new ways of providing power to local communities and industry. For many developed economies, the conventional power system has been centralized, with large remote thermal power stations located close to fuel sources, such as coal, providing power to major loads that might be hundreds of kilometers away, through long distance high-voltage transmission lines. This has worked well for the last 50–60 years, p
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