Analysis and Design of Typical Automated Container Terminals Layout Considering Carbon Emissions

Nanxi Wang, Daofang Chang, Xiaowei Shi, Jun Yuan and Yinping Gao
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Nanxi Wang: Logistics Engineering College, Shanghai Maritime University, 1550 Haigang Avenue, Pudong, Shanghai 201306, China
Daofang Chang: Institute of Logistics Science & Engineering, Shanghai Maritime University, 1550 Haigang Avenue, Pudong, Shanghai 201306, China
Xiaowei Shi: Logistics Engineering College, Shanghai Maritime University, 1550 Haigang Avenue, Pudong, Shanghai 201306, China
Jun Yuan: China Institute of FTZ Supply Chain, Shanghai Maritime University, 1550 Haigang Avenue, Pudong, Shanghai 201306, China
Yinping Gao: Institute of Logistics Science & Engineering, Shanghai Maritime University, 1550 Haigang Avenue, Pudong, Shanghai 201306, China

Sustainability, 2019, vol. 11, issue 10, 1-40

Abstract: With the rapid development of world economy and trade and the continuous construction of green port, automated container terminal (ACT) has increasingly become the direction of future development. Layout design is the premise of ACT construction, which has an at least 50-year influence on the terminal. Therefore, this paper hopes to analyze and design the typical ACT layout to achieve sustainable development of the port. Firstly, a conceptual model is presented considering the interaction between different areas within the ACT when the width and length of the terminal are fixed. To select the optimal layout to achieve the goal of the green terminal, a novel mathematical model is established based on the energy consumption during cycle operation of various devices which can estimate the total carbon emission of an ACT over a period and is suitable for designing period. Then, with the developed model, an ACT in East China was taken as a case study. Finally, according to various analysis of the data results, the layout suggestion considering the sustainable development of the port is given.

Keywords: automated container terminals; layout; cyclic operation; carbon emissions; correlation analysis (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (10)

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