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

by Matthias Lange, Ulrich Focken

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.

Product Details

ISBN-13:	9783540256625
Publisher:	Springer Berlin Heidelberg
Publication date:	12/15/2005
Edition description:	2006
Pages:	208
Product dimensions:	6.10(w) x 9.25(h) x 0.36(d)

Table of Contents

Overview of Wind Power Prediction Systems.- Foundations of Physical Prediction Models.- Physical Wind Power Prediction Systems.- Data.- Assessment of the Prediction Accuracy.- Correction of Wind Profiles Due to Thermal Stratification.- Assessment of Wind Speed Dependent Prediction Error.- Relating the Forecast Error to Meteorological Situations.- Smoothing Effects in Regional Power Prediction.- Outlook.

Editorial Reviews

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)

From the Publisher