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A Novel Method for Navigational Risk Assessment in Wind Farm Waters Based on the Fuzzy Inference System

Author

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  • Peilin Lv
  • Rong Zhen
  • Zheping Shao

Abstract

Offshore wind power is an effective way to solve the energy crisis problem and achieve sustainable economic development. Aiming at the problems that the navigational risk of ships in the waters of offshore wind farms is difficult to quantify due to complex factors, this paper proposes a method of navigational risk assessment in the waters of offshore wind farms based on a fuzzy inference system. Firstly, through the analysis of the factors affecting the navigation system of wind farm waters, it is found that the navigational risk is affected by natural factors and navigational environment factors. Then, the visibility, the number of traffic flows, the number of encounter areas, and the distance between the sailing route and the wind farm are extracted to evaluate the risk of natural factors and the risk of the sailing environment in the navigation system of the wind farm waters, respectively. Considering the mutual influence of the factors, the fuzzy inference rules of navigational risk influence are established according to the expert experience, and a method of navigational risk assessment based on the fuzzy inference system in offshore wind farm waters is developed. In order to verify the effectiveness of the proposed method, a comprehensive evaluation of the navigational risk of wind farm waters in Changle offshore sea of Fujian Province is carried out, and the evaluation results are consistent with the actual situation. The proposed method has important theoretical significance for the navigational safety supervision of offshore wind farm waters.

Suggested Citation

  • Peilin Lv & Rong Zhen & Zheping Shao, 2021. "A Novel Method for Navigational Risk Assessment in Wind Farm Waters Based on the Fuzzy Inference System," Mathematical Problems in Engineering, Hindawi, vol. 2021, pages 1-13, November.
  • Handle: RePEc:hin:jnlmpe:4588333
    DOI: 10.1155/2021/4588333
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