A Multi-Objective Optimization Framework for Offshore Wind Farm Layouts and Electric Infrastructures
Current offshore wind farms (OWFs) design processes are based on a sequential approach which does not guarantee system optimality because it oversimplifies the problem by discarding important interdependencies between design aspects. This article presents a framework to integrate, automate and optim...
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Format: | Article |
Language: | English |
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MDPI AG
2016-03-01
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Series: | Energies |
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Online Access: | http://www.mdpi.com/1996-1073/9/3/216 |
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author | Silvio Rodrigues Carlos Restrepo George Katsouris Rodrigo Teixeira Pinto Maryam Soleimanzadeh Peter Bosman Pavol Bauer |
author_facet | Silvio Rodrigues Carlos Restrepo George Katsouris Rodrigo Teixeira Pinto Maryam Soleimanzadeh Peter Bosman Pavol Bauer |
author_sort | Silvio Rodrigues |
collection | DOAJ |
description | Current offshore wind farms (OWFs) design processes are based on a sequential approach which does not guarantee system optimality because it oversimplifies the problem by discarding important interdependencies between design aspects. This article presents a framework to integrate, automate and optimize the design of OWF layouts and the respective electrical infrastructures. The proposed framework optimizes simultaneously different goals (e.g., annual energy delivered and investment cost) which leads to efficient trade-offs during the design phase, e.g., reduction of wake losses vs collection system length. Furthermore, the proposed framework is independent of economic assumptions, meaning that no a priori values such as the interest rate or energy price, are needed. The proposed framework was applied to the Dutch Borssele areas I and II. A wide range of OWF layouts were obtained through the optimization framework. OWFs with similar energy production and investment cost as layouts designed with standard sequential strategies were obtained through the framework, meaning that the proposed framework has the capability to create different OWF layouts that would have been missed by the designers. In conclusion, the proposed multi-objective optimization framework represents a mind shift in design tools for OWFs which allows cost savings in the design and operation phases. |
first_indexed | 2024-04-13T08:59:06Z |
format | Article |
id | doaj.art-9bba63588d074508950fd0c64d38738b |
institution | Directory Open Access Journal |
issn | 1996-1073 |
language | English |
last_indexed | 2024-04-13T08:59:06Z |
publishDate | 2016-03-01 |
publisher | MDPI AG |
record_format | Article |
series | Energies |
spelling | doaj.art-9bba63588d074508950fd0c64d38738b2022-12-22T02:53:11ZengMDPI AGEnergies1996-10732016-03-019321610.3390/en9030216en9030216A Multi-Objective Optimization Framework for Offshore Wind Farm Layouts and Electric InfrastructuresSilvio Rodrigues0Carlos Restrepo1George Katsouris2Rodrigo Teixeira Pinto3Maryam Soleimanzadeh4Peter Bosman5Pavol Bauer6DC systems, Energy conversion & Storage Group, Delft University of Technology, Mekelweg 4, Delft 2628 CD, The NetherlandsDepartment of Industrial Technologies, Universidad de Talca, Talca 3340000, ChileDC systems, Energy conversion & Storage Group, Delft University of Technology, Mekelweg 4, Delft 2628 CD, The NetherlandsCITCEA-UPC, Carrer de Jordi Girona, 31, Barcelona 08034, SpainECN, Westerduinweg 3, Petten 1755 LE, The NetherlandsCentrum Wiskunde & Informatica, Science Park 123, Amsterdam 1098 XG, The NetherlandsDC systems, Energy conversion & Storage Group, Delft University of Technology, Mekelweg 4, Delft 2628 CD, The NetherlandsCurrent offshore wind farms (OWFs) design processes are based on a sequential approach which does not guarantee system optimality because it oversimplifies the problem by discarding important interdependencies between design aspects. This article presents a framework to integrate, automate and optimize the design of OWF layouts and the respective electrical infrastructures. The proposed framework optimizes simultaneously different goals (e.g., annual energy delivered and investment cost) which leads to efficient trade-offs during the design phase, e.g., reduction of wake losses vs collection system length. Furthermore, the proposed framework is independent of economic assumptions, meaning that no a priori values such as the interest rate or energy price, are needed. The proposed framework was applied to the Dutch Borssele areas I and II. A wide range of OWF layouts were obtained through the optimization framework. OWFs with similar energy production and investment cost as layouts designed with standard sequential strategies were obtained through the framework, meaning that the proposed framework has the capability to create different OWF layouts that would have been missed by the designers. In conclusion, the proposed multi-objective optimization framework represents a mind shift in design tools for OWFs which allows cost savings in the design and operation phases.http://www.mdpi.com/1996-1073/9/3/216design parameterseconomic functionsmulti-objective optimizationoffshore wind farmstrade-offswind farm designers |
spellingShingle | Silvio Rodrigues Carlos Restrepo George Katsouris Rodrigo Teixeira Pinto Maryam Soleimanzadeh Peter Bosman Pavol Bauer A Multi-Objective Optimization Framework for Offshore Wind Farm Layouts and Electric Infrastructures Energies design parameters economic functions multi-objective optimization offshore wind farms trade-offs wind farm designers |
title | A Multi-Objective Optimization Framework for Offshore Wind Farm Layouts and Electric Infrastructures |
title_full | A Multi-Objective Optimization Framework for Offshore Wind Farm Layouts and Electric Infrastructures |
title_fullStr | A Multi-Objective Optimization Framework for Offshore Wind Farm Layouts and Electric Infrastructures |
title_full_unstemmed | A Multi-Objective Optimization Framework for Offshore Wind Farm Layouts and Electric Infrastructures |
title_short | A Multi-Objective Optimization Framework for Offshore Wind Farm Layouts and Electric Infrastructures |
title_sort | multi objective optimization framework for offshore wind farm layouts and electric infrastructures |
topic | design parameters economic functions multi-objective optimization offshore wind farms trade-offs wind farm designers |
url | http://www.mdpi.com/1996-1073/9/3/216 |
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