Operating strategies of CO₂ reduction for a container terminal based on carbon footprint perspective

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• 作者：Yi-Chih Yang ^{hgyang@mail.nkmu.edu.tw" class="auth_mail" title="E-mail the corresponding author}
• 关键词：Port ; Carbon footprint ; Container terminal ; Gray relational analysis
• 刊名：Journal of Cleaner Production
• 出版年：2017
• 出版时间：10 January 2017
• 年：2017
• 卷：141
• 期：Complete
• 页码：472-480
• 全文大小：616 K

文摘

This paper investigates CO₂ emissions produced by two different container terminal operating models (tire transtainers and rail transtainers) at the port of Kaohsiung, and seeks to determine energy saving and CO₂ reduction strategies for shipping companies and terminal operators in order to comply with green port requirements.

This paper's research methodology involves carbon footprint analysis and gray relational analysis. Carbon footprint analysis is employed to calculate the CO₂ emissions per container of two different container terminal operating models employing data for various areas (such as the berthing area, container yard, and gate area), where the raw data is collected from shipping companies or terminal operating companies at the port of Kaohsiung. Gray relational analysis is then used to determine the ranking order of different container terminal operating models based on the green port assessment criteria of working time efficiency, energy consumption, and CO₂ emissions.

The chief findings of this paper are that the ranking order of container terminal types based on carbon footprint is tire transtainer ahead of rail transtainer; optimal green port assessment criteria constituted working time efficiency, energy cost, and CO₂ emissions; and use of container handling equipment with high operating efficiency can not only accomplish work rapidly, lessening the berthing time of ships in port, but also reduce energy costs and CO₂ emissions.