Mathematical Optimization and Algorithms for Offshore Wind Farm Design: An Overview

Martina Fischetti () and David Pisinger ()
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Martina Fischetti: Vattenfall BA Wind
David Pisinger: Technical University of Denmark

Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, 2019, vol. 61, issue 4, No 7, 469-485

Abstract: Abstract Wind energy is a fast evolving field that has attracted a lot of attention and investments in the last decades. Being an increasingly competitive market, it is very important to minimize establishment costs and increase production profits already at the design phase of new wind parks. This paper is based on many years of collaboration with Vattenfall, a leading wind energy developer and wind power operator, and aims at giving an overview of the experience of using Mathematical Optimization in the field. The paper illustrates some of the practical needs defined by energy companies, showing how optimization can help the designers to increase production and reduce costs in the design of offshore parks. In particular, the study gives an overview of the individual phases of designing an offshore wind farm, and some of the optimization problems involved. Finally it goes in depth with three of the most important optimization tasks: turbine location, electrical cable routing and foundation optimization. The paper is concluded with a discussion of future challenges.

Keywords: Offshore wind farm design; Mathematical optimization; Mixed integer linear programming; Heuristics; Cable routing; Wind farm layout; Jacket structure optimization (search for similar items in EconPapers)
Date: 2019
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Citations: View citations in EconPapers (4)

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DOI: 10.1007/s12599-018-0538-0

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