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Physical Approach to Short-Term Wind Power Prediction / Edition 1

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Overview

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.

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Editorial Reviews

From the Publisher
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"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)

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Product Details

  • ISBN-13: 9783540256625
  • Publisher: Springer Berlin Heidelberg
  • Publication date: 12/15/2005
  • Edition description: 2006
  • Edition number: 1
  • Pages: 208
  • Product dimensions: 0.56 (w) x 6.14 (h) x 9.21 (d)

Table of Contents

1 Introduction 1
2 Overview of wind power prediction systems 7
3 Foundations of physical prediction models 23
4 Physical wind power prediction systems 39
5 Data 55
6 Assessment of the prediction accuracy 61
7 Correction of wind profiles due to thermal stratification 91
8 Assessment of wind speed dependent prediction error 115
9 Relating the forecast error to meteorological situations 135
10 Smoothing effects of regional power prediction 169
11 Outlook 179
A Definition of statistical quantities 183
B Statistical testing 187
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