Collaborative Optimization of Shore Power and Berth Allocation Based on Economic, Environmental, and Operational Efficiency DOI Creative Commons

Zhiqiang Zhang,

Yuhua Zhu,

Jian Zhu

et al.

Journal of Marine Science and Engineering, Journal Year: 2025, Volume and Issue: 13(4), P. 776 - 776

Published: April 14, 2025

When vessels are docked at ports, traditional auxiliary engines produce substantial pollutants and noise, exerting pressure on the port environment. Shore power technology, as a green, energy-efficient, emission-reducing solution, can effectively mitigate ship emissions. However, its widespread adoption is hindered by challenges such high costs, compatibility issues, connection complexity. This study develops multi-objective optimization model for coordinated allocation of shore berth scheduling, integrating economic benefits, environmental operational efficiency. The NSGA-III algorithm employed to solve generate Pareto-optimal solution set, with final optimal identified using TOPSIS method. results demonstrate that optimized distribution scheduling strategy significantly reduce emissions operating costs while enhancing overall resource utilization Additionally, an economically feasible scheme, based 80% capacity, proposed. By accounting variations in types, this provides more targeted practical strategies. These findings offer valuable decision support management contribute intelligent sustainable development green ports.

Language: Английский

Collaborative Optimization of Shore Power and Berth Allocation Based on Economic, Environmental, and Operational Efficiency DOI Creative Commons

Zhiqiang Zhang,

Yuhua Zhu,

Jian Zhu

et al.

Journal of Marine Science and Engineering, Journal Year: 2025, Volume and Issue: 13(4), P. 776 - 776

Published: April 14, 2025

When vessels are docked at ports, traditional auxiliary engines produce substantial pollutants and noise, exerting pressure on the port environment. Shore power technology, as a green, energy-efficient, emission-reducing solution, can effectively mitigate ship emissions. However, its widespread adoption is hindered by challenges such high costs, compatibility issues, connection complexity. This study develops multi-objective optimization model for coordinated allocation of shore berth scheduling, integrating economic benefits, environmental operational efficiency. The NSGA-III algorithm employed to solve generate Pareto-optimal solution set, with final optimal identified using TOPSIS method. results demonstrate that optimized distribution scheduling strategy significantly reduce emissions operating costs while enhancing overall resource utilization Additionally, an economically feasible scheme, based 80% capacity, proposed. By accounting variations in types, this provides more targeted practical strategies. These findings offer valuable decision support management contribute intelligent sustainable development green ports.

Language: Английский

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