碳减排背景下提升船舶能效的原油轮航线配船优化

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  •  (大连海事大学 交通运输工程学院,辽宁 大连 116026) 
江伟祺(1997— ),男,江苏镇江人,硕士生,研究方向:船舶调度与船队规划.钟铭*(1963.07 — ),男,辽宁大连人,博士,教授,博导,E-mail:zhongmingdlmu@dlmu.edu.cn.张梦迪(1996.11— ),女,辽宁葫芦岛人,硕士生,研究方向:物流工程与管理

收稿日期: 2023-03-04

  修回日期: 2023-06-20

  录用日期: 2023-06-20

  网络出版日期: 2023-09-12

基金资助

国家社会科学基金资助项目(22BGJ034)

 Crude oil tanker fleet deployment optimization to improve ship energy efficiency under the background of carbon emission reduction

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  • (College of Transportation Engineering, Dalian Maritime University, Dalian 116026, China)

Received date: 2023-03-04

  Revised date: 2023-06-20

  Accepted date: 2023-06-20

  Online published: 2023-09-12

摘要

为应对国际海事组织提出的现有船舶能效系数和碳强度指标政策,预计需要有一定数量的现有船舶通过使用新技术或改造其推进装置部件来提升船舶能效。同时,越来越多的船舶也通过选择安装闭式脱硫装置来应对硫排放控制区限制。在此背景下,针对原油轮航线配船问题,考虑船舶提升能效和安装脱硫装置的改造策略,以年燃油成本与碳排放成本之和最小为目标,考虑碳排放量约束,建立混合整数非线性优化模型。选用一种自适应模拟退火粒子群算法对模型进行求解,对燃油价格波动和碳税税率进行敏感性分析,并通过算例验证了模型的合理性与有效性。

本文引用格式

江伟祺, 钟铭, 张梦迪 . 碳减排背景下提升船舶能效的原油轮航线配船优化[J]. 大连海事大学学报, 2023 , 49(3) : 20 -30 . DOI: 10.16411/j.cnki.issn1006-7736.2023.03.003

Abstract

In response to the existing policies on ship energy efficiency coefficients and carbon intensity indicators proposed by the International Maritime Organization, it is expected that a certain number of existing ships will need to use new technologies or modify the propulsion plant components to improve ship energy efficiency. At the same time, more and more ships were choosing to install closed desulfurization devices to cope with sulfur emission control zone restrictions. In this context, in response to the problem of crude oil tanker fleet deployment, a mixed integer nonlinear optimization model was established by considering the transformation strategy of improving energy efficiency and installing desulfurization devices, with the goal of minimizing the sum of annual fuel cost and carbon emission cost, and considering carbon emission constraints. A self-adaptive-simulated annealing particle swarm optimization algorithm was selected to solve the model, and the sensitivity analysis of fuel price fluctuation and carbon tax rate was carried out, and the rationality and effectiveness of the model were verified through numerical examples.

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