Multi-scale optimization of the design of offshore wind farms

Davide Cazzaro*, Alessio Trivella, Francesco Corman, David Pisinger

*Corresponding author for this work

Research output: Contribution to journalJournal articleResearchpeer-review

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Abstract

The traditional optimization of a wind farm layout consisted of arranging the wind turbines inside a designated area. In contrast, the 2021 tender from the UK government, Offshore Wind Leasing Round 4 (“UK Round-4”), and upcoming bids only specify large regions where the wind farm can be built. This leads to the new challenge of selecting the wind farm shape and area out of a larger region to maximize its profitability. We introduce this problem as the “wind farm area selection problem” and present a novel optimization framework to solve it efficiently. Specifically, our framework combines three scales of design: (i) on a macro-scale, choosing the approximate location of the wind farm out of larger regions, (ii) on a meso-scale, generating the optimal shape of the wind farm, and (iii) on a micro-scale, choosing the exact position of the turbines within the shape. In particular, we propose a new constructive heuristic to choose the best shape of a wind farm at the meso-scale, which is scarcely studied in the literature. Moreover, while macro and micro-scales have already been investigated, our framework is the first to integrate them. We perform a detailed computational analysis using real-life data and constraints from the recent UK Round-4 tender. Compared to the best rectangular-shaped wind farm at the same location, our results show that optimizing the shape increases profitability by 1.1% on average and up to 2.8%, corresponding to 46 and 109 million Euro respectively.

Original languageEnglish
Article number118830
JournalApplied Energy
Volume314
Number of pages17
ISSN0306-2619
DOIs
Publication statusPublished - 2022

Bibliographical note

Funding Information:
We thank Jesper Runge Kristoffersen and David Franz Koza, from Vattenfall BA Wind, and Gabriele Bedon, for their expertise on wind farm design and the useful suggestions provided during the writing of this paper. We also thank the review team for useful feedback that helped us improving the manuscript. This research is partly funded by the Innovation Fund Denmark (IFD) under File No. 9065-00162B .

Funding Information:
We thank Jesper Runge Kristoffersen and David Franz Koza, from Vattenfall BA Wind, and Gabriele Bedon, for their expertise on wind farm design and the useful suggestions provided during the writing of this paper. We also thank the review team for useful feedback that helped us improving the manuscript. This research is partly funded by the Innovation Fund Denmark (IFD) under File No. 9065-00162B.

Publisher Copyright:
© 2022 The Authors

Keywords

  • Area selection
  • Integrated design
  • Offshore wind farms
  • Shape optimization
  • Wind energy

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