Abstract
Shipping trade and port operations are two of the primary sources of greenhouse gas emissions. The emission of air pollutants brings severe problems to the marine environment and coastal residents’ lives. Shore power technology is an efficient CO2 emission reduction program, but it faces sizeable initial investment and high electricity prices. For shipping companies, energy such as low-sulfur fuels and liquefied natural gas has become an essential supplementary means to meet emission reduction requirements. This research considers the impact of government subsidies on port shore power construction and ship shore power use. It constructs a multi-period dual-objective port shore power deployment optimization model based on minimizing operating costs and minimizing CO2 emissions. Multi-combination subsidy strategies, including unit subsidy rate and subsidy demarcation line, are quantitatively described and measured. The proposed Epsilon constraint method is used to transform and model the dual-objective optimization problem. Numerical experiments verify the effectiveness of the model and the feasibility of the solution method. By carrying out a “cost-environment” Pareto trade-off analysis, a model multi-period change analysis, and a subsidy efficiency analysis, this research compares the decision-making results of port shore power construction, ship berthing shore power use, and ship berthing energy selection. Government subsidy strategy and operation management enlightenment in the optimization of port shore power deployment are discussed.
Highlights
For a long time, sea transportation has been regarded as one of the most effective and safest means of transportation services
Diesel combustion will produce many greenhouse gases (GHG), sulfur dioxide (SO2 ), nitrogen oxides (NOx), particulate matter (PM), and other harmful pollutants, which are detrimental to the health of residents and ports in offshore areas
The reason may be that the larger the quota standard is, the greater the penalty imposed by the government on port companies and shipping companies for substandard on-shore power use will be, which leads to the rightist deviation of the Pareto curve
Summary
Sea transportation has been regarded as one of the most effective and safest means of transportation services. The environmental pollution caused by ship berthing discharge, loading, and unloading operations have generated tremendous pressure on the green and sustainable development of the port [3]. Winkel et al [15] quantified the economic and environmental potential of shore power construction in Europe They put forward crucial obstacles and policy measures for implementing shore power policies by estimating in detail the emissions and related energy requirements of ships berthed. Wu and Wang [19] studied the issue of shore power deployment in containerships’ shipping networks They proposed a government subsidy program to minimize the emissions of ships during berth. The proposed model integrates port shore power system deployment decisions, energy options for ship berthing, and government subsidy strategies. Some management implications, such as strategy selection under different environmental constraints, are obtained through corresponding numerical experiments
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
