A Multi-Objective Optimization Framework for Offshore Wind Farm Layouts and Electric Infrastructures

Silvio Rodrigues, Carlos Restrepo, George Katsouris, Rodrigo Teixeira Pinto, Maryam Soleimanzadeh, Peter Bosman and Pavol Bauer
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Silvio Rodrigues: DC systems, Energy conversion & Storage Group, Delft University of Technology, Mekelweg 4, Delft 2628 CD, The Netherlands
Carlos Restrepo: Department of Industrial Technologies, Universidad de Talca, Talca 3340000, Chile
George Katsouris: DC systems, Energy conversion & Storage Group, Delft University of Technology, Mekelweg 4, Delft 2628 CD, The Netherlands
Rodrigo Teixeira Pinto: CITCEA-UPC, Carrer de Jordi Girona, 31, Barcelona 08034, Spain
Maryam Soleimanzadeh: ECN, Westerduinweg 3, Petten 1755 LE, The Netherlands
Peter Bosman: Centrum Wiskunde & Informatica, Science Park 123, Amsterdam 1098 XG, The Netherlands
Pavol Bauer: DC systems, Energy conversion & Storage Group, Delft University of Technology, Mekelweg 4, Delft 2628 CD, The Netherlands

Energies, 2016, vol. 9, issue 3, 1-42

Abstract: 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.

Keywords: design parameters; economic functions; multi-objective optimization; offshore wind farms; trade-offs; wind farm designers (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2016
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (11)

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