Physical Approach to Short-Term Wind Power Prediction

Ulrich Focken

ISBN 10: 3642065082 / ISBN 13: 9783642065088

Published by Springer Berlin Heidelberg, 2010

About this Item

Druck auf Anfrage Neuware - Printed after ordering - Triggered by a discussion on the nature of future electricity supplies, wind - ergy utilisation has boomed dramatically, rst in the United States of America and Denmark and later in Germany and Spain. Thanks to state subsidies, it has within 15 years overtaken the volume of the classic renewable hydro-power, and today it accountsforabout5%ofelectricitygeneration. Twofactorssetoffthisdevelopment:anawarenessofthelimitedavailabilityof fossilfuelsandtherecognitionthatinthe19thand20thcenturiesthemassiverelease of fossil CO had kicked off a gigantic climate experiment whose results remain 2 unpredictable. The discussion on the side effects of the wind energy boom, such asoccupationoflandandthechallengespresentedbyintegrationintoconventional electricity generation systems, frequently distract attention from the real goals and bene ts of this technology. These are establishing an energy sector that will, in the shortterm,reduceCO emissionsandtheexploitationof niteresourcesand,inthe 2 longterm,createanunlimitedsustainableenergysupply. Because fossil reserves are relatively easy to exploit, a system developed that could hardly be more convenient. It makes electric power available in large quan- tiesatmoderatepricesandinawaythatiseasytoplan.Thetaskofthepowerutility is essentially limited to uncritically adjusting the supply from central power s- tionstothedemandfromconsumers.Alow-CO sustainableenergysectordemands 2 differentstandards.Windandsolarpowerhaveahighpotential,buttheyaresubject tohighnatural uctuationsand,ingeneral,areconnectedtotheelectricitygridina decentralway.Theshareoffuturestoragetechnologiessuchashydrogentechnology willbeassmallaspossibleforreasonsofef ciencyandcost. So,future-compatibleelectricitygenerationwillcomprisemanydifferent,partly innovative components, which also demands a considerable research and devel- menteffort.Ontheonehand,thereisthe uctuatinginputfromrenewablesources, and on the other, electricity consumption that must to a certain extent be adjusted to supply by means of intelligent solutions. In between, to a declining extent, VI Foreword modernconventionalenergyproducers,suchascoalandnaturalgaspowerstations, areallbroughttogetherwithagreatdealoftechnicalingenuityintheformofcontrol strategiesandinformation ows.

Seller Inventory # 9783642065088

Bibliographic Details

• Title: Physical Approach to Short-Term Wind Power Prediction
• Publisher: Springer Berlin Heidelberg
• Publication Date: 2010
• Language: English
• ISBN 10: 3642065082
• ISBN 13: 9783642065088
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 235W x 155H x 13D millimeters 235 millimeters width by 155 millimeters height by 13 millimeters depth
• Weight: 341 grams

About this title

Synopsis

The effective integration of wind energy into the overall electricity supply is a technical and economical challenge because the availability of wind power is determined by fluctuating meteorological conditions. This book offers an approach to the ultimate goal of the short-term prediction of the power output of winds farms. Starting from basic aspects of atmospheric fluid dynamics, the authors discuss the structure of winds fields, the available forecast systems and the handling of the intrinsic, weather-dependent uncertainties in the regional prediction of the power generated by wind turbines. This book addresses scientists and engineers working in wind energy related R and D and industry, as well as graduate students and nonspecialists researchers in the fields of atmospheric physics and meteorology.

Review

From the reviews:

"The book was triggered by the dramatically boomed wind energy utilisation. ... It is a text book for boundary-layer meteorology, flow simulation, time series analyses and modelling of the behaviour of wind farms also. So the models are well described and their application for wind power prediction is demonstrated. ... The book is provided for scientists and engineers mainly. The text is written very clear. It is completed by 89 figures and 13 tables." (K. Schäfer, Meteorologische Zeitschrift, Vol. 16 (3), 2007)