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

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.

Cite this article

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 . DOI: 10.16411/j.cnki.issn1006-7736.2023.03.003

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