Green Vessel Scheduling with Weather Impact and Emission Control Area Consideration

Author:

Wen Xin1,Chen Qiong2,Yin Yu-Qi3ORCID,Lau Yui-yip4ORCID

Affiliation:

1. School of Economics & Management, Jiangsu University of Science & Technology, Zhenjiang 212100, China

2. Navigation College, Jimei University, Xiamen 361021, China

3. Logistics & E-Commerce College, Zhejiang Wanli University, Ningbo 315100, China

4. Division of Business and Hospitality Management, College of Professional and Continuing Education, The Hong Kong Polytechnic University, Hong Kong, China

Abstract

Emissions of maritime transport have been a critical research topic with the substantial growth in the global shipping industry, encompassing both the expansion of the world fleet and the increased distances it has been covering recently. The International Maritime Organization (IMO) has enforced some regulations to mitigate ship Greenhouse Gas (GHG) emissions, which affect vessels’ operational practice, and further affect service reliability. In this paper, some compliance methods (two-speed strategy, fuel switching, and LNG) against Emission Control Areas (ECAs) at the operational level are examined regarding if and how they impact the liner shipping schedule and service reliability; meanwhile, uncertain weather conditions and port times, as the main uncertain factors, are also involved. Then, a bi-objective fuzzy programming model is formulated and solved by the augmented ε-constraint approach, which generates a set of Pareto solutions by balancing the economic and environmental sustainability. Some findings can be concluded through the experimental results, including that, firstly, to meet uncertain weather conditions at sea requires strong robustness; secondly, ECA regulations can negatively affect the liner shipping service level; moreover, slow steaming is an immediate and effective measure to reduce GHG emissions; and, furthermore, ship routing choice could have a significant influence on ship emissions and service reliability.

Funder

Philosophy and Social Science Fund for Higher Education Institutions of Jiangsu Education Department

Fujian Provincial Department of Education

Xiamen Society Scientific Research

Natural Science Fund Project of Jimei University

Publisher

MDPI AG

Subject

General Mathematics,Engineering (miscellaneous),Computer Science (miscellaneous)

Reference53 articles.

1. IMO (2014). Third IMO Greenhouse Gas Study, IMO.

2. Decarbonizing the international shipping industry: Solutions and policy recommendations;Wan;Mar. Pollut. Bull.,2018

3. Adamopoulos, A. (2020, March 04). IMO Agrees to Cut Emissions by at Least 50% by 2050. Available online: https://lloydslist.maritimeintelligence.informa.com/LL1122195/IMO-agrees-to-cut-emissions-by-at-least-50-by-2050.

4. Speed models for energy-efficient maritime transportation: A taxonomy and survey;Psaraftis;Transp. Res. Part C Emerg. Technol.,2013

5. Maritime routing and speed optimization with emission control areas;Fagerholt;Transp. Res. Part C Emerg. Technol.,2015

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