Possible application of quantum computing in the field of ocean engineering: optimization of an offshore wind farm layout with the Ising model

Abstract As a possible application of quantum computing in the field of ocean engineering, an attempt is made to identify the optimum layout of an offshore wind farm with the quasi-quantum annealing method while assuming a wake model that conforms to the standard Jensen–Katic wake model but can be implemented in the Ising model. The optimum layouts obtained in the present study are compared with those identified with other conventional methods such as the genetic algorithm. It is confirmed that the quasi-quantum annealing method works as well as other methods in identifying the optimum layouts, while the optimum layout of an offshore wind farm composed of even more than 100 wind turbines can be identified with reasonable CPU time.

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Publication Details

Journal
Journal of Ocean Engineering and Marine Energy
Published
2024-08-31
DOI
https://doi.org/10.1007/s40722-024-00345-x
Citations
3
Primary Topic
Wind Energy Research and Development
Type
article
Field-Weighted Citation Impact
3.90

Funders

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article

Possible application of quantum computing in the field of ocean engineering: optimization of an offshore wind farm layout with the Ising model

Hiroshi Kagemoto
3 citations
Journal of Ocean Engineering and Marine Energy
Wind Energy Research and Development
3.90
article

Possible application of quantum computing in the field of ocean engineering: optimization of an offshore wind farm layout with the Ising model

Hiroshi Kagemoto
article en
3 citations

Abstract

Abstract As a possible application of quantum computing in the field of ocean engineering, an attempt is made to identify the optimum layout of an offshore wind farm with the quasi-quantum annealing method while assuming a wake model that conforms to the standard Jensen–Katic wake model but can be implemented in the Ising model. The optimum layouts obtained in the present study are compared with those identified with other conventional methods such as the genetic algorithm. It is confirmed that the quasi-quantum annealing method works as well as other methods in identifying the optimum layouts, while the optimum layout of an offshore wind farm composed of even more than 100 wind turbines can be identified with reasonable CPU time.

Journal of Ocean Engineering and Marine EnergyVol. 10(4)
The University of Tokyo (JP)
University of Tokyo
Affordable and clean energy
Openalex Percentile: Top 6%
Wind Energy Research and Development
3.90
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Possible application of quantum computing in the field of ocean engineering: optimization of an offshore wind farm layout with the Ising model — Hiroshi Kagemoto · Journal of Ocean Engineering and Marine Energy (2024) | TGRS Research Map | TGRS