A method for determining the allocation strategy of on-shore power supply from a green container terminal perspective. (1st January 2019)

• Record Type: Journal Article
• Authors: Peng, Yun; Li, Xiangda; Wang, Wenyuan; Wei, Zhijun; Bing, Xiao; Song, Xiangqun
• Is Part Of: Ocean & coastal management. Volume 167(2019)
• Page Start: 158
• Page End: 175
• Publication Date: 2019-01-01
• Subjects: Green port -- Container terminal -- On-shore power supply -- Carbon emissions; Marine resources -- Management -- Periodicals; Coastal zone management -- Periodicals; Coastal ecology -- Periodicals; Ressources marines -- Périodiques; Littoral -- Aménagement -- Périodiques; Écologie littorale -- Périodiques; Coastal ecology; Coastal zone management; Marine resources -- Management; Periodicals; Electronic journals; 551.46
• DOI: 10.1016/j.ocecoaman.2018.10.007
• Languages: English
• ISSNs: 0964-5691

Abstract

Abstract: The main contribution of this paper is to determine the allocation strategy of on-shore power supply (OPS), comprising additional power capacity of OPS and adopting patterns of OPS at berth, to realize the trade-off between total cost of OPS and carbon emissions of ships. Firstly, carbon emission formulations, adopting patterns of OPS and arrival patterns of ships are described. Then, in order to minimize total cost and carbon emissions, an integer programming model for OPS allocation problem is proposed. Next, a simulation-based solution method is developed to resolve the optimization model, which consists of inner simulation module and outer optimization module. The outer module enumerates all the allocation scenarios and evaluates the results from the inner module. The inner module introduces a simulation model to represent the stochastic operation system in the container terminal and outputs results to outer module. Finally, taking a port in China as an example, this paper designs and conducts a series of experiments and discovers that the sensitivity of results emphasizes the importance of electricity price on the optimal allocation. When electricity price is lower or larger than 0.3 $/kWh, the optimal power capacity is 9200 or 5230 kW, correspondingly. Highlights: This paper analyzes environment benefits of OPS system adopted in ports from perspective of life-cycle energy consumption. This paper aims at solving the problem of how to determine the allocation strategy of OPS to realize the trade-off between carbon emissions and system cost of OPS. In order to minimize total cost and carbon emissions, an optimization model for OPS allocation problem is proposed, and a simulation-based solution method to resolve the optimization model is developed.