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Sinopsis
The use of combined heat and power (CHP) plants and renewable energy sources reduces the amount of greenhouse gases released into the atmosphere and helps to alleviate the consequent climate change. The policies of many governments suggest that the proportion of electrical energy produced by these sources will increase dramatically over the next two decades. Unlike traditional generating units, these new types of power plant are usually 'embedded' in the distribution system or 'dispersed' around the network. As a result, conventional design and operating practices are no longer applicable; for example, power protection principles have to be revised and complex economic questions need to be resolved.
This book, intended for both students and practising engineers, addresses all the issues pertinent to the implementation of embedded generation. Much of the material was originally developed for the UMIST MSc/CPD course in Electrical Power Engineering so there is a strong tutorial element. However, since this subject is evolving very rapidly, the authors also discuss the technical and commercial consequences of the very high penetration of embedded generation that are to be expected in the years ahead.
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Acerca del autor
The authors work together at UMIST's world-renowned Electrical Energy and Power Systems Group. Their industrial experience, research and teaching activities span the whole topic of embedded generation. Before joining UMIST Nick Jenkins developed renewable energy schemes for Wind Energy Group and BP Solar. Peter Crossley worked for ALSTOM for 13 years on the design and application of protection relays. Daniel Kirschen is a specialist in power system analysis and operation. Ron Allan pioneered the application of probabilistic techniques to power system reliability. Finally Goran Strbac has undertaken important work on the economics of embedded generation.
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- EditorialInstitute of Electrical Engineers
- Año de publicación2000
- ISBN 10 0852967748
- ISBN 13 9780852967744
- EncuadernaciónTapa dura
- IdiomaInglés
- Número de páginas292
- Contacto del fabricanteno disponible
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Embedded Generation
Publicado por
Institution Of Engineering And Technology, 2000
ISBN 10: 0852967748
ISBN 13: 9780852967744
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Embedded Generation (IEE Power and Energy Series) (Volume 31)
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The Institution of Electrical Engineers, 2000
ISBN 10: 0852967748
ISBN 13: 9780852967744
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IEE Power and Energy Series: Embedded Generation (Volume 31)
Publicado por
The Institution of Electrical Engineers, 2000
ISBN 10: 0852967748
ISBN 13: 9780852967744
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Librería: Anybook.com, Lincoln, Reino Unido
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Condición: Poor. Volume 31. This is an ex-library book and may have the usual library/used-book markings inside.This book has hardback covers. In poor condition, suitable as a reading copy. No dust jacket. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,650grams, ISBN:9780852967744. Nº de ref. del artículo: 3898048
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Embedded Generation (IEE Power)PBPO0310 (Energy Engineering)
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Institution of Engineering and T, 2000
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Embedded Generation
Publicado por
Institution Of Engineering And Technology, 2000
ISBN 10: 0852967748
ISBN 13: 9780852967744
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Librería: Anybook.com, Lincoln, Reino Unido
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Condición: Fair. This is an ex-library book and may have the usual library/used-book markings inside.This book has hardback covers. Clean from markings. In fair condition, suitable as a study copy. No dust jacket. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,650grams, ISBN:9780852967744. Nº de ref. del artículo: 9247637
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Embedded Generation (Energy En
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Embedded Generation (Energy Engineering)
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Embedded Generation
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The Institution of Engineering and Technology, 2000
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ISBN 13: 9780852967744
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Embedded Generation
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The Institution of Engineering and Technology, 2000
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ISBN 13: 9780852967744
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Embedded Generation
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INST OF ELECTRICAL & ELECTRONI, 2000
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Gebunden. Condición: New. Über den AutorrnrnThe authors work together at UMIST s world-renowned Electrical Energy and Power Systems Group. Their industrial experience, research and teaching activities span the whole topic of embedded generation. Before joining UM. Nº de ref. del artículo: 447094256
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