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Optimization models for the installation planning of offshore wind farms

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  • Amorosi, Lavinia
  • Fischetti, Martina
  • Paradiso, Rosario
  • Roberti, Roberto

Abstract

Challenges posed by global warming motivate the increasing interest in green energy sources, such as wind energy. To make wind energy attractive from an economic viewpoint, the decision-making problems faced in designing, installing, and maintaining wind farms have to be optimized. In this paper, we focus on the problem of optimally planning the installation process of offshore wind farms, as faced by Vattenfall, a leading European energy company. We first formulate the deterministic version of this Installation Planning of Offshore Wind Farms (IPOWF) problem as a Mixed Integer Linear Programming (MILP) model. From this model, we then derive other MILPs that can provide lower and upper bounds to the optimal installation cost. To cope with weather uncertainty, we also provide a light-robust MILP. These models are tested on real-life instances corresponding to two wind farms that Vattenfall has recently built in Denmark and Germany. Computational results show that tight primal and dual solutions can be computed for the deterministic case with the proposed models and that the light-robust model yields solutions that are robust to weather uncertainty.

Suggested Citation

  • Amorosi, Lavinia & Fischetti, Martina & Paradiso, Rosario & Roberti, Roberto, 2024. "Optimization models for the installation planning of offshore wind farms," European Journal of Operational Research, Elsevier, vol. 315(3), pages 1182-1196.
    • Handle: RePEc:eee:ejores:v:315:y:2024:i:3:p:1182-1196
    DOI: 10.1016/j.ejor.2024.01.011
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    1. Martina Fischetti & Jesper Runge Kristoffersen & Thomas Hjort & Michele Monaci & David Pisinger, 2020. "Vattenfall Optimizes Offshore Wind Farm Design," Interfaces, INFORMS, vol. 50(1), pages 80-94, January.
    2. Ursavas, Evrim, 2017. "A benders decomposition approach for solving the offshore wind farm installation planning at the North Sea," European Journal of Operational Research, Elsevier, vol. 258(2), pages 703-714.
    3. Martina Fischetti & Michele Monaci, 2016. "Proximity search heuristics for wind farm optimal layout," Journal of Heuristics, Springer, vol. 22(4), pages 459-474, August.
    4. Stålhane, Magnus & Halvorsen-Weare, Elin E. & Nonås, Lars Magne & Pantuso, Giovanni, 2019. "Optimizing vessel fleet size and mix to support maintenance operations at offshore wind farms," European Journal of Operational Research, Elsevier, vol. 276(2), pages 495-509.
    5. Irawan, Chandra Ade & Ouelhadj, Djamila & Jones, Dylan & Stålhane, Magnus & Sperstad, Iver Bakken, 2017. "Optimisation of maintenance routing and scheduling for offshore wind farms," European Journal of Operational Research, Elsevier, vol. 256(1), pages 76-89.
    6. Arne Klein & Dag Haugland, 2019. "Obstacle-aware optimization of offshore wind farm cable layouts," Annals of Operations Research, Springer, vol. 272(1), pages 373-388, January.
    7. Saidur, R. & Rahim, N.A. & Islam, M.R. & Solangi, K.H., 2011. "Environmental impact of wind energy," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(5), pages 2423-2430, June.
    8. Chandra Ade Irawan & Djamila Ouelhadj & Iver Bakken Sperstad & Dylan Jones, 2023. "A combined tactical and operational framework for maintenance scheduling and routing in offshore wind farms," Journal of the Operational Research Society, Taylor & Francis Journals, vol. 74(10), pages 2241-2260, October.
    9. Gutierrez-Alcoba, A. & Hendrix, E.M.T. & Ortega, G. & Halvorsen-Weare, E.E. & Haugland, D., 2019. "On offshore wind farm maintenance scheduling for decision support on vessel fleet composition," European Journal of Operational Research, Elsevier, vol. 279(1), pages 124-131.
    10. John R. Birge, 1997. "State-of-the-Art-Survey---Stochastic Programming: Computation and Applications," INFORMS Journal on Computing, INFORMS, vol. 9(2), pages 111-133, May.
    11. Heidt, Andreas & Helmke, Hartmut & Kapolke, Manu & Liers, Frauke & Martin, Alexander, 2016. "Robust runway scheduling under uncertain conditions," Journal of Air Transport Management, Elsevier, vol. 56(PA), pages 28-37.
    12. Chandra Ade Irawan & Graham Wall & Dylan Jones, 2019. "An optimisation model for scheduling the decommissioning of an offshore wind farm," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 41(2), pages 513-548, June.
    13. Perez-Canto, Salvador & Rubio-Romero, Juan Carlos, 2013. "A model for the preventive maintenance scheduling of power plants including wind farms," Reliability Engineering and System Safety, Elsevier, vol. 119(C), pages 67-75.
    14. Barlow, Euan & Tezcaner Öztürk, Diclehan & Revie, Matthew & Akartunalı, Kerem & Day, Alexander H. & Boulougouris, Evangelos, 2018. "A mixed-method optimisation and simulation framework for supporting logistical decisions during offshore wind farm installations," European Journal of Operational Research, Elsevier, vol. 264(3), pages 894-906.
    15. Matteo Fischetti & Domenico Salvagnin & Arrigo Zanette, 2009. "Fast Approaches to Improve the Robustness of a Railway Timetable," Transportation Science, INFORMS, vol. 43(3), pages 321-335, August.
    16. Kusiak, Andrew & Song, Zhe, 2010. "Design of wind farm layout for maximum wind energy capture," Renewable Energy, Elsevier, vol. 35(3), pages 685-694.
    17. Fischetti, Martina, 2021. "On the optimized design of next-generation wind farms," European Journal of Operational Research, Elsevier, vol. 291(3), pages 862-870.
    18. Snyder, Brian & Kaiser, Mark J., 2009. "Ecological and economic cost-benefit analysis of offshore wind energy," Renewable Energy, Elsevier, vol. 34(6), pages 1567-1578.
    19. Fischetti, Martina & Pisinger, David, 2018. "Optimizing wind farm cable routing considering power losses," European Journal of Operational Research, Elsevier, vol. 270(3), pages 917-930.
    20. Joanna Bauer & Jens Lysgaard, 2015. "The offshore wind farm array cable layout problem: a planar open vehicle routing problem," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 66(3), pages 360-368, March.
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