Article | World Renewable Energy Congress - Sweden; 8-13 May; 2011; Linköping; Sweden | Using Meteorological Wind Data to Estimate Turbine Generation Output: A Sensitivity Analysis

Title:
Using Meteorological Wind Data to Estimate Turbine Generation Output: A Sensitivity Analysis
Author:
M. L. Kubik: Technologies for Sustainable Built Environments, University of Reading, United Kingdom P. J. Coker: School of Construction Management and Engineering, University of Reading, United Kingdom C. Hunt: AES, Richmond upon Thames, United Kingdom
DOI:
10.3384/ecp110574074
Download:
Full text (pdf)
Year:
2011
Conference:
World Renewable Energy Congress - Sweden; 8-13 May; 2011; Linköping; Sweden
Issue:
057
Article no.:
004
Pages:
4074-4081
No. of pages:
8
Publication type:
Abstract and Fulltext
Published:
2011-11-03
ISBN:
978-91-7393-070-3
Series:
Linköping Electronic Conference Proceedings
ISSN (print):
1650-3686
ISSN (online):
1650-3740
Publisher:
Linköping University Electronic Press; Linköpings universitet


Various studies investigating the future impacts of integrating high levels of renewable energy make use of historical meteorological (met) station data to produce estimates of future generation. Hourly means of 10m horizontal wind are extrapolated to a standard turbine hub height using the wind profile power or log law and used to simulate the hypothetical power output of a turbine at that location; repeating this procedure using many viable locations can produce a picture of future electricity generation. However; the estimate of hub height wind speed is dependent on the choice of the wind shear exponent a or the roughness length z0; and requires a number of simplifying assumptions. This paper investigates the sensitivity of this estimation on generation output using a case study of a met station in West Freugh; Scotland. The results show that the choice of wind shear exponent is a particularly sensitive parameter which can lead to significant variation of estimated hub height wind speed and hence estimated future generation potential of a region.

Keywords: Wind shear exponent; Wind profile; Renewable energy; Variability; Intermittency

World Renewable Energy Congress - Sweden; 8-13 May; 2011; Linköping; Sweden

Author:
M. L. Kubik, P. J. Coker, C. Hunt
Title:
Using Meteorological Wind Data to Estimate Turbine Generation Output: A Sensitivity Analysis
DOI:
10.3384/ecp110574074
References:
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World Renewable Energy Congress - Sweden; 8-13 May; 2011; Linköping; Sweden

Author:
M. L. Kubik, P. J. Coker, C. Hunt
Title:
Using Meteorological Wind Data to Estimate Turbine Generation Output: A Sensitivity Analysis
DOI:
10.3384/ecp110574074
Note: the following are taken directly from CrossRef
Citations:
  • Hassam Nasarullah Chaudhry, John Kaiser Calauti & Ben Richard Hughes (2016). Design and aerodynamic investigation of dynamic architecture. Innovative Infrastructure Solutions, 1(1): . DOI: 10.1007/s41062-016-0002-2