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Consideration of Wind Speed Variability in Creating a Regional Aggregate Wind Power Time Series

Cradden, Lucy C. and Restuccia, Francesco and Hawkins, Samuel L. and Harrison, Gareth P. (2014) Consideration of Wind Speed Variability in Creating a Regional Aggregate Wind Power Time Series. Resources, 3 (1). pp. 215-234. ISSN 2079-9276. https://resolver.caltech.edu/CaltechAUTHORS:20160421-113129666

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Abstract

For the purposes of understanding the impacts on the electricity network, estimates of hourly aggregate wind power generation for a region are required. However, the availability of wind production data for the UK is limited, and studies often rely on measured wind speeds from a network of meteorological (met) stations. Another option is to use historical wind speeds from a reanalysis dataset, with a resolution of around 40–50 km. Mesoscale models offer a potentially more desirable solution, with a homogeneous set of wind speeds covering a wide area at resolutions of 1–50 km, but they are computationally expensive to run at high resolution. An understanding of the most appropriate choice of data requires knowledge of the variability in time and space and how well that is represented by the choice of model. Here it is demonstrated that in regions offshore, or in relatively smooth terrain where variability in wind speeds is smaller, lower resolution models or single point records may suffice to represent aggregate power generation in a sub-region. The need for high resolution modelling in areas of complex terrain where spatial and temporal variability is higher is emphasised, particularly when the distribution of wind generation capacity is uneven over the region.


Item Type:Article
Related URLs:
URLURL TypeDescription
http://dx.doi.org/10.3390/resources3010215DOIArticle
http://www.mdpi.com/2079-9276/3/1/215PublisherArticle
Additional Information:© 2014 by the authors; licensee MDPI, Basel, Switzerland. This is an open access article distributed under the Creative Commons Attribution License (CC BY) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Received: 29 November 2013 / Revised: 29 January 2014 / Accepted: 18 February 2014 / Published: 27 February 2014. (This article belongs to the Special Issue Spatial and Temporal Variation of the Wind Resource) This work was supported by the Engineering and Physical Sciences Research Council (EPSRC) via the Adaptation and Resilience in Energy Systems (ARIES) project, reference number EP/I035773/1. The authors declare no conflict of interest.
Funders:
Funding AgencyGrant Number
Engineering and Physical Sciences Research Council (EPSRC)EP/I035773/1
Subject Keywords:wind; resource; variability; mesoscale; methodologies
Issue or Number:1
Record Number:CaltechAUTHORS:20160421-113129666
Persistent URL:https://resolver.caltech.edu/CaltechAUTHORS:20160421-113129666
Official Citation:Cradden, L.C.; Restuccia, F.; Hawkins, S.L.; Harrison, G.P. Consideration of Wind Speed Variability in Creating a Regional Aggregate Wind Power Time Series. Resources 2014, 3, 215-234.
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:66360
Collection:CaltechAUTHORS
Deposited By: George Porter
Deposited On:21 Apr 2016 19:46
Last Modified:03 Oct 2019 09:55

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