Wind farm layout optimization based on numerical simulations.
Autor(a) principal: | |
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Data de Publicação: | 2019 |
Tipo de documento: | Dissertação |
Idioma: | eng |
Título da fonte: | Biblioteca Digital de Teses e Dissertações da USP |
Texto Completo: | http://www.teses.usp.br/teses/disponiveis/3/3150/tde-28112019-145825/ |
Resumo: | This work consists in developing a tool for wind farm layout optimization based on Computational Fluid Dynamics (CFD) simulations of the atmospheric wind flow and inter-turbine interference. Since it is not feasible to simulate a whole wind farm using the complete geometry of the wind turbines, the need for models to represent their effects on the wind flow and the interference of one turbine on the others arises, and the most commonly used model is the Actuator Disk model and its variations. The procedure for wind turbine behavior evaluation using a CFD model was implemented in the OpenFOAM software, and this model was coupled with the Dakota optimization toolkit. A Genetic Algorithm was selected for the optimization task due to its robustness and the characteristics of the problem solved. With this new tool in hand, three different terrain cases were tested considering different numbers of turbines on a cylindrical domain in order to achieve the best wind farm layout in terms of AEP that respects the imposed physical restrictions. The optimization process was successful, leading to the maximization of the AEP. In addition, the algorithm correctly avoided the wakes generated by the upstream wind turbines for each case and was able to take advantage of the wake-terrain interaction during the optimization process. It was concluded that the results are promising despite the high computational resources required. |
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Wind farm layout optimization based on numerical simulations.Otimização de layout de parques eólicos com base em simulações numéricas.Actuator diskAlgoritmos genéticosDakotaDinâmica dos fluidos computacionalDisco atuadorLayout optimizationOpenFOAMOtimização de layoutTurbinasWind turbineThis work consists in developing a tool for wind farm layout optimization based on Computational Fluid Dynamics (CFD) simulations of the atmospheric wind flow and inter-turbine interference. Since it is not feasible to simulate a whole wind farm using the complete geometry of the wind turbines, the need for models to represent their effects on the wind flow and the interference of one turbine on the others arises, and the most commonly used model is the Actuator Disk model and its variations. The procedure for wind turbine behavior evaluation using a CFD model was implemented in the OpenFOAM software, and this model was coupled with the Dakota optimization toolkit. A Genetic Algorithm was selected for the optimization task due to its robustness and the characteristics of the problem solved. With this new tool in hand, three different terrain cases were tested considering different numbers of turbines on a cylindrical domain in order to achieve the best wind farm layout in terms of AEP that respects the imposed physical restrictions. The optimization process was successful, leading to the maximization of the AEP. In addition, the algorithm correctly avoided the wakes generated by the upstream wind turbines for each case and was able to take advantage of the wake-terrain interaction during the optimization process. It was concluded that the results are promising despite the high computational resources required.O presente trabalho consiste em desenvolver uma ferramenta para otimização de layouts de parques eólicos baseada em simulações de Dinâmica dos Fluidos Computacional (CFD), tanto do escoamento atmosférico quanto da interferência entre turbinas. Uma vez que não é viável simular todo um parque eólico usando a geometria completa de uma turbina eólica, surge a necessidade de modelos que representem os efeitos das turbinas no escoamento local, e o modelo mais comumente usado é o Modelo de Disco Atuador e suas variações. Definido o procedimento para a avaliação do comportamento de uma turbina eólica usando um modelo de CFD usando o software OpenFOAM, foi feito o acoplamento desse modelo com o software de otimização Dakota. Um Algoritmo Genético foi usado para a tarefa de otimização devido à sua robustez e as características do problema resolvido. Em posse dessa nova ferramenta, três diferentes casos de topografia foram testados considerando diversos números de turbinas em um domínio cilíndrico para atingir o melhor layout em termos de AEP que respeite as restrições físicas impostas. O processo de otimização foi bem-sucedido, haja visto a maximização de AEP. Além disso, o algoritmo foi capaz de evitar corretamente as esteiras geradas por máquinas a montante em cada caso, e ainda foi capaz de se beneficiar da interação das esteiras com o terreno durante o processo de otimização. Foi concluído que os resultados são promissores apesar dos significativos recursos computacionais necessários para o trabalho.Biblioteca Digitais de Teses e Dissertações da USPCarmo, Bruno SouzaCrúz, Luís Eduardo Boni2019-05-27info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttp://www.teses.usp.br/teses/disponiveis/3/3150/tde-28112019-145825/reponame:Biblioteca Digital de Teses e Dissertações da USPinstname:Universidade de São Paulo (USP)instacron:USPLiberar o conteúdo para acesso público.info:eu-repo/semantics/openAccesseng2019-11-29T23:53:01Zoai:teses.usp.br:tde-28112019-145825Biblioteca Digital de Teses e Dissertaçõeshttp://www.teses.usp.br/PUBhttp://www.teses.usp.br/cgi-bin/mtd2br.plvirginia@if.usp.br|| atendimento@aguia.usp.br||virginia@if.usp.bropendoar:27212019-11-29T23:53:01Biblioteca Digital de Teses e Dissertações da USP - Universidade de São Paulo (USP)false |
dc.title.none.fl_str_mv |
Wind farm layout optimization based on numerical simulations. Otimização de layout de parques eólicos com base em simulações numéricas. |
title |
Wind farm layout optimization based on numerical simulations. |
spellingShingle |
Wind farm layout optimization based on numerical simulations. Crúz, Luís Eduardo Boni Actuator disk Algoritmos genéticos Dakota Dinâmica dos fluidos computacional Disco atuador Layout optimization OpenFOAM Otimização de layout Turbinas Wind turbine |
title_short |
Wind farm layout optimization based on numerical simulations. |
title_full |
Wind farm layout optimization based on numerical simulations. |
title_fullStr |
Wind farm layout optimization based on numerical simulations. |
title_full_unstemmed |
Wind farm layout optimization based on numerical simulations. |
title_sort |
Wind farm layout optimization based on numerical simulations. |
author |
Crúz, Luís Eduardo Boni |
author_facet |
Crúz, Luís Eduardo Boni |
author_role |
author |
dc.contributor.none.fl_str_mv |
Carmo, Bruno Souza |
dc.contributor.author.fl_str_mv |
Crúz, Luís Eduardo Boni |
dc.subject.por.fl_str_mv |
Actuator disk Algoritmos genéticos Dakota Dinâmica dos fluidos computacional Disco atuador Layout optimization OpenFOAM Otimização de layout Turbinas Wind turbine |
topic |
Actuator disk Algoritmos genéticos Dakota Dinâmica dos fluidos computacional Disco atuador Layout optimization OpenFOAM Otimização de layout Turbinas Wind turbine |
description |
This work consists in developing a tool for wind farm layout optimization based on Computational Fluid Dynamics (CFD) simulations of the atmospheric wind flow and inter-turbine interference. Since it is not feasible to simulate a whole wind farm using the complete geometry of the wind turbines, the need for models to represent their effects on the wind flow and the interference of one turbine on the others arises, and the most commonly used model is the Actuator Disk model and its variations. The procedure for wind turbine behavior evaluation using a CFD model was implemented in the OpenFOAM software, and this model was coupled with the Dakota optimization toolkit. A Genetic Algorithm was selected for the optimization task due to its robustness and the characteristics of the problem solved. With this new tool in hand, three different terrain cases were tested considering different numbers of turbines on a cylindrical domain in order to achieve the best wind farm layout in terms of AEP that respects the imposed physical restrictions. The optimization process was successful, leading to the maximization of the AEP. In addition, the algorithm correctly avoided the wakes generated by the upstream wind turbines for each case and was able to take advantage of the wake-terrain interaction during the optimization process. It was concluded that the results are promising despite the high computational resources required. |
publishDate |
2019 |
dc.date.none.fl_str_mv |
2019-05-27 |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/masterThesis |
format |
masterThesis |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://www.teses.usp.br/teses/disponiveis/3/3150/tde-28112019-145825/ |
url |
http://www.teses.usp.br/teses/disponiveis/3/3150/tde-28112019-145825/ |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
|
dc.rights.driver.fl_str_mv |
Liberar o conteúdo para acesso público. info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Liberar o conteúdo para acesso público. |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.coverage.none.fl_str_mv |
|
dc.publisher.none.fl_str_mv |
Biblioteca Digitais de Teses e Dissertações da USP |
publisher.none.fl_str_mv |
Biblioteca Digitais de Teses e Dissertações da USP |
dc.source.none.fl_str_mv |
reponame:Biblioteca Digital de Teses e Dissertações da USP instname:Universidade de São Paulo (USP) instacron:USP |
instname_str |
Universidade de São Paulo (USP) |
instacron_str |
USP |
institution |
USP |
reponame_str |
Biblioteca Digital de Teses e Dissertações da USP |
collection |
Biblioteca Digital de Teses e Dissertações da USP |
repository.name.fl_str_mv |
Biblioteca Digital de Teses e Dissertações da USP - Universidade de São Paulo (USP) |
repository.mail.fl_str_mv |
virginia@if.usp.br|| atendimento@aguia.usp.br||virginia@if.usp.br |
_version_ |
1809091163385233408 |