碳减排背景下提升船舶能效的原油轮航线配船优化

doi:10.16411/j.cnki.issn1006-7736.2023.03.003

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大连海事大学学报 ›› 2023, Vol. 49 ›› Issue (3) : 20-30. DOI: 10.16411/j.cnki.issn1006-7736.2023.03.003

碳减排背景下提升船舶能效的原油轮航线配船优化

江伟祺，钟铭^*，张梦迪

作者信息 +

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

JIANG Weiqi，ZHONG Ming^*，ZHANG Mengdi

Author information +

文章历史 +

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。

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.

导出引用

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 https://doi.org/10.16411/j.cnki.issn1006-7736.2023.03.003

JIANG Weiqi, ZHONG Ming, ZHANG Mengdi. Crude oil tanker fleet deployment optimization to improve ship energy efficiency under the background of carbon emission reduction[J]. Journal of Dalian Maritime University. 2023, 49(3): 20-30 https://doi.org/10.16411/j.cnki.issn1006-7736.2023.03.003

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