Realistic Optimization of Parallelogram-Shaped Offshore Wind Farms Considering Continuously Distributed Wind Resources

Article number 2895

Detalhes bibliográficos
Autores: González Rodríguez, Ángel Gaspar, Serrano-González, Javier, Burgos Payán, Manuel, Riquelme Santos, Jesús Manuel
Formato: artículo
Estado:Versión publicada
Fecha de publicación:2021
País:España
Recursos:Universidad de Sevilla (US)
Repositorio:idUS. Depósito de Investigación de la Universidad de Sevilla
OAI Identifier:oai:idus.us.es:11441/114698
Acesso em linha:https://hdl.handle.net/11441/114698
https://doi.org/10.3390/en14102895
Access Level:acceso abierto
Palavra-chave:Offshore wind farms
Non-genetic evolutionary algorithm
Macro-siting
Layout optimization
Parallelogram-shaped wind farms
Continuous distribution
Investment costs
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spelling Realistic Optimization of Parallelogram-Shaped Offshore Wind Farms Considering Continuously Distributed Wind ResourcesGonzález Rodríguez, Ángel GasparSerrano-González, JavierBurgos Payán, ManuelRiquelme Santos, Jesús ManuelOffshore wind farmsNon-genetic evolutionary algorithmMacro-sitingLayout optimizationParallelogram-shaped wind farmsContinuous distributionInvestment costsArticle number 2895Offshore wind power plants are becoming a realistic option for the renewable production of electricity. As an improvement tool to the profitability of OWFs, this work presents the first complete non-genetic (and non-binary) evolutionary algorithm to optimize the location, size and layout of a parallelogram-shaped offshore wind farm, as the arrangement that is becoming an standard for offshore wind farms. It has been tested in the HR-I site. Most relevant economic data influencing the investment profitability have been taken into account. In addition, the paper introduces a new approach to offshore wind farm optimization based on a continuous behaviour of varying wind conditions, which allows a more realistic estimation of the energy produced. The proposed optimization approach has been tested based on the available information from HR-I. Obtained solutions present similar values to the actual offshore wind farm in terms of investment and annual energy produced, but differs with respect to the optimal orientation and profitability. The contributions of this paper are: it details the first method to interpolate a continuous distribution of wind rose and Weibull parameters; it presents the first algorithm to obtain a realistic optimal solution to the location+sizing+micro-siting problem for regular arrangements; it is prepared to work with the most complete set of economic, bathymetric, and wind data.FEDER ENE2016-77650-RRed CYTED 718RT0564CDTI CER-20191019MDPIIngeniería Eléctrica2021info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfapplication/pdfhttps://hdl.handle.net/11441/114698https://doi.org/10.3390/en14102895reponame:idUS. Depósito de Investigación de la Universidad de Sevillainstname:Universidad de Sevilla (US)InglésEnergies, 14 (10), Article number 2895.ENE2016-77650-R718RT0564CER-20191019https://www.mdpi.com/1996-1073/14/10/2895info:eu-repo/semantics/openAccessoai:idus.us.es:11441/1146982026-06-17T12:51:07Z
dc.title.none.fl_str_mv Realistic Optimization of Parallelogram-Shaped Offshore Wind Farms Considering Continuously Distributed Wind Resources
title Realistic Optimization of Parallelogram-Shaped Offshore Wind Farms Considering Continuously Distributed Wind Resources
spellingShingle Realistic Optimization of Parallelogram-Shaped Offshore Wind Farms Considering Continuously Distributed Wind Resources
González Rodríguez, Ángel Gaspar
Offshore wind farms
Non-genetic evolutionary algorithm
Macro-siting
Layout optimization
Parallelogram-shaped wind farms
Continuous distribution
Investment costs
title_short Realistic Optimization of Parallelogram-Shaped Offshore Wind Farms Considering Continuously Distributed Wind Resources
title_full Realistic Optimization of Parallelogram-Shaped Offshore Wind Farms Considering Continuously Distributed Wind Resources
title_fullStr Realistic Optimization of Parallelogram-Shaped Offshore Wind Farms Considering Continuously Distributed Wind Resources
title_full_unstemmed Realistic Optimization of Parallelogram-Shaped Offshore Wind Farms Considering Continuously Distributed Wind Resources
title_sort Realistic Optimization of Parallelogram-Shaped Offshore Wind Farms Considering Continuously Distributed Wind Resources
dc.creator.none.fl_str_mv González Rodríguez, Ángel Gaspar
Serrano-González, Javier
Burgos Payán, Manuel
Riquelme Santos, Jesús Manuel
author González Rodríguez, Ángel Gaspar
author_facet González Rodríguez, Ángel Gaspar
Serrano-González, Javier
Burgos Payán, Manuel
Riquelme Santos, Jesús Manuel
author_role author
author2 Serrano-González, Javier
Burgos Payán, Manuel
Riquelme Santos, Jesús Manuel
author2_role author
author
author
dc.contributor.none.fl_str_mv Ingeniería Eléctrica
dc.subject.none.fl_str_mv Offshore wind farms
Non-genetic evolutionary algorithm
Macro-siting
Layout optimization
Parallelogram-shaped wind farms
Continuous distribution
Investment costs
topic Offshore wind farms
Non-genetic evolutionary algorithm
Macro-siting
Layout optimization
Parallelogram-shaped wind farms
Continuous distribution
Investment costs
description Article number 2895
publishDate 2021
dc.date.none.fl_str_mv 2021
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv https://hdl.handle.net/11441/114698
https://doi.org/10.3390/en14102895
url https://hdl.handle.net/11441/114698
https://doi.org/10.3390/en14102895
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv Energies, 14 (10), Article number 2895.
ENE2016-77650-R
718RT0564
CER-20191019
https://www.mdpi.com/1996-1073/14/10/2895
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv MDPI
publisher.none.fl_str_mv MDPI
dc.source.none.fl_str_mv reponame:idUS. Depósito de Investigación de la Universidad de Sevilla
instname:Universidad de Sevilla (US)
instname_str Universidad de Sevilla (US)
reponame_str idUS. Depósito de Investigación de la Universidad de Sevilla
collection idUS. Depósito de Investigación de la Universidad de Sevilla
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15.301603

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