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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Main Authors: Mackay, Edward B.L., Bahaj, AbuBakr S., Challenor, Peter G.
Format: Article in Journal/Newspaper
Language:unknown
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S0960148109004534
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spelling ftrepec:oai:RePEc:eee:renene:v:35:y:2010:i:8:p:1809-1819 2024-04-14T08:15:40+00:00 Uncertainty in wave energy resource assessment. Part 2: Variability and predictability Mackay, Edward B.L. Bahaj, AbuBakr S. Challenor, Peter G. http://www.sciencedirect.com/science/article/pii/S0960148109004534 unknown http://www.sciencedirect.com/science/article/pii/S0960148109004534 article ftrepec 2024-03-19T10:30:48Z 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. Wave energy resource; Variability; Stochastic model; North Atlantic Oscillation; Climate change; Uncertainty; Article in Journal/Newspaper North Atlantic North Atlantic oscillation RePEc (Research Papers in Economics)
institution Open Polar
collection RePEc (Research Papers in Economics)
op_collection_id ftrepec
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. Wave energy resource; Variability; Stochastic model; North Atlantic Oscillation; Climate change; Uncertainty;
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
url http://www.sciencedirect.com/science/article/pii/S0960148109004534
genre North Atlantic
North Atlantic oscillation
genre_facet North Atlantic
North Atlantic oscillation
op_relation http://www.sciencedirect.com/science/article/pii/S0960148109004534
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