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Impact of Disruption on Ship Emissions in Port: Case of Pandemic in Long Beach

Author

Listed:
  • Zhengxin He

    (School of Civil and Environmental Engineering, Nanyang Technological University, 50 Nanyang Avenue, Singapore 639798, Singapore)

  • Jasmine Siu Lee Lam

    (School of Civil and Environmental Engineering, Nanyang Technological University, 50 Nanyang Avenue, Singapore 639798, Singapore)

  • Maohan Liang

    (School of Civil and Environmental Engineering, Nanyang Technological University, 50 Nanyang Avenue, Singapore 639798, Singapore)

Abstract

To achieve environmental sustainability on ships, stakeholders should make efforts to reduce emissions. Port authorities are crucial to attain this goal by introducing new policies. This study takes the Port of Long Beach as an example to assess port-wide ship emissions and explain the significance of shore power policy. Additionally, the study considers the impact of disruptions, such as the COVID pandemic, on ship emissions. The analysis compares data from three years before and after the pandemic to examine the relationship between ship waiting times, quantities, and emissions. The findings indicate that the majority of port-wide ship emissions are generated by berthing or anchoring vessels, from ship auxiliary engines and boilers. Furthermore, ship congestion due to reduced port productivity during the pandemic significantly increased emissions from berthing and anchoring vessels, with the emission proportion increasing from 68% to 86%. Adopting the shore power policy has effectively reduced ship emissions in port areas, and increasing the number of ships utilising shore power will be instrumental in tackling excessive ship emissions.

Suggested Citation

  • Zhengxin He & Jasmine Siu Lee Lam & Maohan Liang, 2023. "Impact of Disruption on Ship Emissions in Port: Case of Pandemic in Long Beach," Sustainability, MDPI, vol. 15(9), pages 1-16, April.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:9:p:7215-:d:1133453
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    References listed on IDEAS

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    Cited by:

    1. Chaojun Ding & Tianshou Liu, 2023. "Risk Decision for a Port Shore Power Supply System Based on Cumulative Prospect Theory and an Improved Gray Target," Sustainability, MDPI, vol. 15(19), pages 1-16, September.

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