Volume 42 Issue 5
Oct.  2024
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ZHAO Haowei, ZHONG Ming, LI Linfeng, YU Haolin. A Comprehensive Evaluation Method for the Planning of Self-Sufficient Energy System for Ports Based on Improved Composite Weighting[J]. Journal of Transport Information and Safety, 2024, 42(5): 148-162. doi: 10.3963/j.jssn.1674-4861.2024.05.014
Citation: ZHAO Haowei, ZHONG Ming, LI Linfeng, YU Haolin. A Comprehensive Evaluation Method for the Planning of Self-Sufficient Energy System for Ports Based on Improved Composite Weighting[J]. Journal of Transport Information and Safety, 2024, 42(5): 148-162. doi: 10.3963/j.jssn.1674-4861.2024.05.014

A Comprehensive Evaluation Method for the Planning of Self-Sufficient Energy System for Ports Based on Improved Composite Weighting

doi: 10.3963/j.jssn.1674-4861.2024.05.014
  • Received Date: 2024-06-02
  • This study develops a comprehensive evaluation method for green port planning schemes, integrating the concepts of sustainable port transportation and energy management, to address the issue of constructing a green port evaluation system.The method considers critical factors including the availability of clean energy resources, energy load characteristics, and the capacity for planning a self-sufficient energy system.An evaluation index system for self-sufficient energy system planning is established across five dimensions: economic feasibility, environmental impact, energy efficiency, self-sufficiency, and reliability.Based on these indicators, a quantitative evaluation model is developed.To address data limitations, the analytic hierarchy process (AHP) and entropy weight method (EWM) are used to calculate weights individually, while an aggregated game theory-based model is used to determine the combined weights of the evaluation indices.The Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) is then employed for the comprehensive assessment of different planning schemes.A demonstration project from an intelligent container port (Port Area A) serves as a case study to verify and validate the model.The proposed AHP-EWM-TOPSIS method is compared with traditional methods, including the entropy weight method (EWM), rank sum ratio method (RSR), and the Entropy-weighted VIKOR method (EWM-VIKOR), to assess the stability and sensitivity of scheme rankings.By altering a specific index in the top-ranking scheme (Scheme 2) as test data, the model's robustness is evaluated in terms of ranking consistency and sensitivity to index variations.Results indicate that scheme rankings are consistent across methods, verifying the model's effectiveness, with AHP-EWM-TOPSIS demonstrating superior stability over EWM-VIKOR.

     

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