Modest Method for Estimating CO 2 Emissions from Container Handling Equipment at Ports

Muhammad Arif Budiyanto (), Faril Ichfari and Takeshi Shinoda
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Muhammad Arif Budiyanto: Department of Mechanical Engineering, Universitas Indonesia, Kota Depok 16424, Jawa Barat, Indonesia
Faril Ichfari: Department of Mechanical Engineering, Universitas Indonesia, Kota Depok 16424, Jawa Barat, Indonesia
Takeshi Shinoda: Department of Marine System Engineering, Kyushu University, Fukuoka 819-0395, Japan

Sustainability, 2024, vol. 16, issue 23, 1-14

Abstract: The maritime industry is under increasing pressure to reduce CO 2 emissions, with the International Maritime Organization (IMO) setting a target to reduce greenhouse gas emissions, including emissions from the port sector, by 40% by 2030. However, accurate and reliable methods for estimating CO 2 emissions at container ports, which are significant contributors to maritime emissions, are still lacking. This study aims to address this by evaluating a novel method for estimating CO 2 emissions at container ports. The proposed method utilizes the cargo handling equipment movement theory, quantifying both vertical and horizontal movements based on the amount of container handling equipment at the port. The emissions for each piece of equipment are estimated by multiplying the movement quantity by the respective emission factor. To validate the model, a robustness test compares the estimated CO 2 emissions with actual energy consumption data from the port. A case study was conducted at a container port with an annual capacity of over 500,000 TEUs and a parallel layout type. The estimated CO 2 emissions were approximately 8183 tons per year, with container cranes contributing 56%, rubber-tire gantry cranes contributing 27%, terminal trucks contributing 14%, and reach stackers contributing 3%. The method demonstrated accuracy, with a deviation of less than 1%. This method offers a fast and reliable approach for estimating baseline CO 2 emissions at container ports, providing valuable insights for port authorities and policymakers to develop more effective emission-reduction strategies.

Keywords: CO 2 emissions; container port; container handling equipment; emission estimation; maritime industry (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2024
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