Energy Positive Neighborhoods and Smart Energy Districts - Methods, Tools, and Experiences from the Field (Paperback)

Energy Positive Neighborhoods and Smart Energy Districts: Methods, Tools, and Experiences from the Field is a comprehensive guide to this highly interdisciplinary topic. Monti et. al's combined experience make them the most qualified team of editors to explore the processes and tools involved in creating Energy Positive Neighborhoods and Smart Energy Districts in an urban setting. Tools include: A complete simulation library to quickly support the implementation of a model of the scenario A set of possible approaches to neighborhood energy optimization An open, extensible information model for neighbourhood asset description The structure of this book offers different reading paths to appeal to the very varied audience it addresses. It describes the process of adaption and the challenges faced by the decision makers, and also how simulation, optimisation, ICT approaches and business models are combined in a holistic and pragmatic way. It also offers possible business models and a means to quantify them to complete the development process. This book is suitable for students on muti-disciplinary energy engineering courses, energy practitioners, ICT vendors aiming to develop new services to target the building industry, and decision makers aiming to structure an urban renovation program.

General

Imprint:	Academic Press Inc
Country of origin:	United States
Release date:	September 2016
First published:	2017
Editors:	Antonello Monti • Dirk Pesch • Keith Ellis • Perluigi Mancarella
Dimensions:	235 x 191 x 18mm (L x W x T)
Format:	Paperback
Pages:	300
ISBN-13:	978-0-12-809951-3
Categories:	Books > Professional & Technical > Energy technology & engineering > General Books > Social sciences > Sociology, social studies > Social groups & communities > Urban communities Books > Business & Economics > Industry & industrial studies > Energy industries & utilities > General Books > Science & Mathematics > Physics > Classical mechanics > General
LSN:	0-12-809951-8
Barcode:	9780128099513

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