Optimal wind turbine selection methodology: A case-study for Búrfell, Iceland
The efficient selection of a wind turbine at a given site is presently limited by the developer's knowledge of what turbines are available on the market, and their inability to test and compare available turbine designs before investing. Poor turbine selection results in a financially sub-optim...
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ftrepec:oai:RePEc:eee:renene:v:75:y:2015:i:c:p:165-172 2024-04-14T08:13:31+00:00 Optimal wind turbine selection methodology: A case-study for Búrfell, Iceland Perkin, Samuel Garrett, Deon Jensson, Pall http://www.sciencedirect.com/science/article/pii/S0960148114006089 unknown http://www.sciencedirect.com/science/article/pii/S0960148114006089 article ftrepec 2024-03-19T10:29:27Z The efficient selection of a wind turbine at a given site is presently limited by the developer's knowledge of what turbines are available on the market, and their inability to test and compare available turbine designs before investing. Poor turbine selection results in a financially sub-optimal investment. In this paper we develop an approach to optimize theoretical wind turbine designs based on Blade Element Momentum theory, multiple Evolutionary Computing algorithms, and a realistic cost model. The physical model was verified and tested using raw, real-world data from a met mast and two Enercon E-44 turbines installed at Búrfell, Iceland. Wind turbine selection; LCoE; Genetic algorithms; Cost-scaling; Blade Element Momentum theory; Article in Journal/Newspaper Iceland RePEc (Research Papers in Economics) Búrfell ENVELOPE(-19.818,-19.818,64.079,64.079) |
institution |
Open Polar |
collection |
RePEc (Research Papers in Economics) |
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ftrepec |
language |
unknown |
description |
The efficient selection of a wind turbine at a given site is presently limited by the developer's knowledge of what turbines are available on the market, and their inability to test and compare available turbine designs before investing. Poor turbine selection results in a financially sub-optimal investment. In this paper we develop an approach to optimize theoretical wind turbine designs based on Blade Element Momentum theory, multiple Evolutionary Computing algorithms, and a realistic cost model. The physical model was verified and tested using raw, real-world data from a met mast and two Enercon E-44 turbines installed at Búrfell, Iceland. Wind turbine selection; LCoE; Genetic algorithms; Cost-scaling; Blade Element Momentum theory; |
format |
Article in Journal/Newspaper |
author |
Perkin, Samuel Garrett, Deon Jensson, Pall |
spellingShingle |
Perkin, Samuel Garrett, Deon Jensson, Pall Optimal wind turbine selection methodology: A case-study for Búrfell, Iceland |
author_facet |
Perkin, Samuel Garrett, Deon Jensson, Pall |
author_sort |
Perkin, Samuel |
title |
Optimal wind turbine selection methodology: A case-study for Búrfell, Iceland |
title_short |
Optimal wind turbine selection methodology: A case-study for Búrfell, Iceland |
title_full |
Optimal wind turbine selection methodology: A case-study for Búrfell, Iceland |
title_fullStr |
Optimal wind turbine selection methodology: A case-study for Búrfell, Iceland |
title_full_unstemmed |
Optimal wind turbine selection methodology: A case-study for Búrfell, Iceland |
title_sort |
optimal wind turbine selection methodology: a case-study for búrfell, iceland |
url |
http://www.sciencedirect.com/science/article/pii/S0960148114006089 |
long_lat |
ENVELOPE(-19.818,-19.818,64.079,64.079) |
geographic |
Búrfell |
geographic_facet |
Búrfell |
genre |
Iceland |
genre_facet |
Iceland |
op_relation |
http://www.sciencedirect.com/science/article/pii/S0960148114006089 |
_version_ |
1796311516749758464 |