中文核心期刊
CSCD来源期刊
中国科技核心期刊
RCCSE中国核心学术期刊

重庆交通大学学报(自然科学版) ›› 2023, Vol. 42 ›› Issue (1): 83-90.DOI: 10.3969/j.issn.1674-0696.2023.01.12

• 交通+大数据人工智能 • 上一篇    下一篇

基于港口环境效益的岸电与泊位联合分配优化研究

闵德权,张志铎,张伟航   

  1. (大连海事大学 交通运输工程学院,辽宁 大连 116026)
  • 收稿日期:2021-07-10 修回日期:2022-03-19 出版日期:2023-02-28 发布日期:2023-03-14
  • 作者简介:闵德权(1963—),男,上海人,教授,博士,主要从事交通运输管理方面的研究。E-mail:ghsmdq@163.com 闵德权,张志铎,张伟航

Optimization of Joint Allocation of Shore Power and Berth Based on Environmental Benefit of Por

MIN Dequan, ZHANG Zhiduo, ZHANG Weihang   

  1. (School of Transportation Engineering, Dalian Maritime University, Dalian 116026, Liaoning, China)
  • Received:2021-07-10 Revised:2022-03-19 Online:2023-02-28 Published:2023-03-14

摘要: 船舶在港口靠泊期间利用岸电来满足船舶的用电需求,是减少船舶辅机排放的有效措施。以港口供应链整体利益最优为目标,提出了一种兼顾岸电使用成本和环境效益的岸电分配与泊位分配协同优化方案,从而减少岸电系统的使用成本,减少碳排放提高环境效益。基于连续泊位状态分析,在港口提供不同功率情况下,采用多目标遗传优化算法对模型进行求解,确定满足岸电使用成本最小和港口环境效益最大的相对较优解集。最后考虑两种碳税收状况下的排放成本确定最优方案,将优化方案与基础方案进行比较证明模型的有效性,证实模型在靠泊时间和岸电使用不同偏好下具有较好的适用性。

关键词: 交通运输工程, 泊位分配;岸电分配;环境效益

Abstract: It is an effective measure to reduce the emission of ship’s auxiliary engine to meet the demand of ship’s electricity by using shore power during berthing in port. In order to optimize the overall benefits of port supply chain, a synergistic optimization scheme of shore power distribution and berth allocation considering both the cost of shore power use and environmental benefits was proposed, so as to reduce the use cost of shore power system, reduce carbon emissions and improve environmental benefits. Based on continuous berth state analysis, when the port provided different power, the multi-objective genetic optimization algorithm was used to solve the model and determine the relatively optimal solution set that met the minimum cost of shore power utilization and the maximum environmental benefits of the port. Finally, the optimal scheme considering the emission cost under two carbon tax conditions was determined. The comparison between the optimized scheme and the basic scheme proves the validity of the proposed model, and confirms that the proposed model has good applicability under different preferences of berthing time and shore power use.

Key words: traffic and transportation engineering, berth allocation, shore power distribution, environmental benefits

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