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基于模糊PROMETHEE-II改进TODIM的海上风电制氢EPC项目投资风险分析

Investment Risk Analysis of Offshore Wind-to-Hydrogen EPC Mode Based on Fuzzy TODIM Improved PROMETHEE-II Method

  • 摘要:
    目的 海上风电与制氢相结合实现海上风电跨区域电力输送,对于推动可再生能源在电力系统的高质量发展具有重要意义。EPC作为一种集设计、采购和施工于一体的总承包模式,能够有效整合资源,提高项目质量,但其在海上风电制氢项目中的复杂性与长期性导致投资风险尚未得到充分量化与分析。
    方法 为解决以上问题,文章针对海上风电制氢EPC项目投资规划阶段,构建了系统化的风险指标体系,并针对指标属性与权重的不确定性及决策者风险偏好,提出了基于犹豫直觉语言与三角模糊数的TODIM改进PROMETHEE-II投资风险评估模型。
    结果 最后将提出的模型应用到算例分析研究中并对其进行敏感性分析,结果表明:在海上风电制氢投资建设项目中,山东地区具有明显的区域优势。此外,C42(生态环境保护)和C12(电解效率风险)风险指标对项目的选择影响较大且敏感性较高。
    结论 算例分析结果验证了所提投资风险评估模型的有效性与合理性。

     

    Abstract:
    Objective The integration of offshore wind power and hydrogen production enables the cross-regional transmission of electricity, which is of significant importance for promoting the high-quality development of renewable energy within power systems. As a turnkey model integrating design, procurement, and construction, the EPC approach can effectively consolidate resources and improve project quality. However, the complexity and long-term nature of offshore wind-to-hydrogen EPC projects have hindered comprehensive quantification and analysis of investment risks.
    Method To address the above issues, this study constructed a systematic risk indicator framework for the investment planning stage of offshore wind-to-hydrogen EPC projects. Considering the uncertainty of indicator attributes and weights as well as decision-makers' risk preferences, an investment risk assessment model using TODIM-improved PROMETHEE-II was proposed, which incorporates hesitant intuitionistic fuzzy linguistic terms and triangular fuzzy numbers.
    Result The proposed model is applied to case studies and further examined through sensitivity analysis. Results indicate that, among offshore wind-to-hydrogen investment projects, the Shandong region demonstrates a significant regional advantage, and that C42 (environmental protection) and C12 (electrolytic efficiency risk) exert substantial influence on project selection, exhibiting high sensitivity.
    Conclusion The case study results validate the effectiveness and reasonableness of the proposed investment risk assessment model.

     

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