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Research on the Resource-Allocation-Optimization Strategy for Offshore Wind Power Construction Considering Complex Influencing Factors

Author

Listed:
  • Ning Wu

    (PowerChina Huadong Engineering Corp., Ltd., Hangzhou 311122, China)

  • Rongrong He

    (PowerChina Huadong Engineering Corp., Ltd., Hangzhou 311122, China)

  • Chunwei Jin

    (PowerChina Huadong Engineering Corp., Ltd., Hangzhou 311122, China)

  • Yuan Xu

    (The Institute of Distributed Energy and Microgrid, Zhejiang University of Technology, Hangzhou 310013, China)

  • Guobing Pan

    (The Institute of Distributed Energy and Microgrid, Zhejiang University of Technology, Hangzhou 310013, China)

  • Lianzhen Qi

    (The Institute of Distributed Energy and Microgrid, Zhejiang University of Technology, Hangzhou 310013, China)

Abstract

The construction process of offshore wind farms involves multiple complexities, which is very complex to be scheduled manually, and the coordinating and optimized scheduling not only decreases project construction costs but also increases the construction speed. The impact of meteorological conditions on offshore wind power construction has been considered, and optimizing resource-allocation strategies under complex influencing factors has been analyzed. Then, a comprehensive strategy optimization index system is developed, which includes key indicators, such as the minimum working hours, resource-allocation-optimization rate, window period utilization rate, and cost–benefit ratio. Additionally, an offshore wind power resource-allocation-optimization model is formulated based on discrete event simulation (DES). A statistical analysis of each optimization index was performed using this model to assess the impact of resource-allocation strategies. The simulation results demonstrate that the model can not only simulate the construction process of offshore wind farms and monitor the state of wind turbines, personnel, and meteorological conditions in real time but also accurately calculate key indicators, such as the minimum working hours, resource-allocation-optimization rate, window period utilization rate, and cost–benefit ratio. This strategy effectively enhances resource-allocation efficiency during the wind farm installation phase and improves the overall construction process efficiency.

Suggested Citation

  • Ning Wu & Rongrong He & Chunwei Jin & Yuan Xu & Guobing Pan & Lianzhen Qi, 2024. "Research on the Resource-Allocation-Optimization Strategy for Offshore Wind Power Construction Considering Complex Influencing Factors," Energies, MDPI, vol. 17(23), pages 1-9, November.
    • Handle: RePEc:gam:jeners:v:17:y:2024:i:23:p:6006-:d:1532283
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    References listed on IDEAS

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