Uncertainty in wave energy resource assessment part 2: variability and predictability

The uncertainty in estimates of the energy yield from a wave energy converter (WEC) is considered. The study is presented in two articles. The first article considered the accuracy of the historic data and the second article, presented here, considers the uncertainty which arises from variability in...

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Published in:Renewable Energy
Main Authors: Mackay, Edward B.L., Bahaj, AbuBakr S., Challenor, Peter G.
Format: Article in Journal/Newspaper
Language:unknown
Published: 2010
Subjects:
Online Access:https://eprints.soton.ac.uk/74704/
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spelling ftsouthampton:oai:eprints.soton.ac.uk:74704 2023-07-30T04:05:30+02:00 Uncertainty in wave energy resource assessment part 2: variability and predictability Mackay, Edward B.L. Bahaj, AbuBakr S. Challenor, Peter G. 2010-08 https://eprints.soton.ac.uk/74704/ unknown Mackay, Edward B.L., Bahaj, AbuBakr S. and Challenor, Peter G. (2010) Uncertainty in wave energy resource assessment part 2: variability and predictability. Renewable Energy, 35 (8), 1809-1819. (doi:10.1016/j.renene.2009.10.027 <http://dx.doi.org/10.1016/j.renene.2009.10.027>). Article PeerReviewed 2010 ftsouthampton https://doi.org/10.1016/j.renene.2009.10.027 2023-07-09T21:10:02Z The uncertainty in estimates of the energy yield from a wave energy converter (WEC) is considered. The study is presented in two articles. The first article considered the accuracy of the historic data and the second article, presented here, considers the uncertainty which arises from variability in the wave climate. Mean wave conditions exhibit high levels of interannual variability. Moreover, many previous studies have demonstrated longer-term decadal changes in wave climate. The effect of interannual and climatic changes in wave climate on the predictability of long-term mean WEC power is examined for an area off the north coast of Scotland. In this location anomalies in mean WEC power are strongly correlated with the North Atlantic Oscillation (NAO) index. This link enables the results of many previous studies on the variability of the NAO and its sensitivity to climate change to be applied to WEC power levels. It is shown that the variability in 5, 10 and 20 year mean power levels is greater than if annual power anomalies were uncorrelated noise. It is also shown that the change in wave climate from anthropogenic climate change over the life time of a wave farm is likely to be small in comparison to the natural level of variability. Finally, it is shown that despite the uncertainty related to variability in the wave climate, improvements in the accuracy of historic data will improve the accuracy of predictions of future WEC yield. Article in Journal/Newspaper North Atlantic North Atlantic oscillation University of Southampton: e-Prints Soton Renewable Energy 35 8 1809 1819
institution Open Polar
collection University of Southampton: e-Prints Soton
op_collection_id ftsouthampton
language unknown
description The uncertainty in estimates of the energy yield from a wave energy converter (WEC) is considered. The study is presented in two articles. The first article considered the accuracy of the historic data and the second article, presented here, considers the uncertainty which arises from variability in the wave climate. Mean wave conditions exhibit high levels of interannual variability. Moreover, many previous studies have demonstrated longer-term decadal changes in wave climate. The effect of interannual and climatic changes in wave climate on the predictability of long-term mean WEC power is examined for an area off the north coast of Scotland. In this location anomalies in mean WEC power are strongly correlated with the North Atlantic Oscillation (NAO) index. This link enables the results of many previous studies on the variability of the NAO and its sensitivity to climate change to be applied to WEC power levels. It is shown that the variability in 5, 10 and 20 year mean power levels is greater than if annual power anomalies were uncorrelated noise. It is also shown that the change in wave climate from anthropogenic climate change over the life time of a wave farm is likely to be small in comparison to the natural level of variability. Finally, it is shown that despite the uncertainty related to variability in the wave climate, improvements in the accuracy of historic data will improve the accuracy of predictions of future WEC yield.
format Article in Journal/Newspaper
author Mackay, Edward B.L.
Bahaj, AbuBakr S.
Challenor, Peter G.
spellingShingle Mackay, Edward B.L.
Bahaj, AbuBakr S.
Challenor, Peter G.
Uncertainty in wave energy resource assessment part 2: variability and predictability
author_facet Mackay, Edward B.L.
Bahaj, AbuBakr S.
Challenor, Peter G.
author_sort Mackay, Edward B.L.
title Uncertainty in wave energy resource assessment part 2: variability and predictability
title_short Uncertainty in wave energy resource assessment part 2: variability and predictability
title_full Uncertainty in wave energy resource assessment part 2: variability and predictability
title_fullStr Uncertainty in wave energy resource assessment part 2: variability and predictability
title_full_unstemmed Uncertainty in wave energy resource assessment part 2: variability and predictability
title_sort uncertainty in wave energy resource assessment part 2: variability and predictability
publishDate 2010
url https://eprints.soton.ac.uk/74704/
genre North Atlantic
North Atlantic oscillation
genre_facet North Atlantic
North Atlantic oscillation
op_relation Mackay, Edward B.L., Bahaj, AbuBakr S. and Challenor, Peter G. (2010) Uncertainty in wave energy resource assessment part 2: variability and predictability. Renewable Energy, 35 (8), 1809-1819. (doi:10.1016/j.renene.2009.10.027 <http://dx.doi.org/10.1016/j.renene.2009.10.027>).
op_doi https://doi.org/10.1016/j.renene.2009.10.027
container_title Renewable Energy
container_volume 35
container_issue 8
container_start_page 1809
op_container_end_page 1819
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