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Integrated Carbon Emission Estimation Method and Energy Conservation Analysis: The Port of Los Angles Case Study

Yu, Y, Sun, R, Sun, Y and Shu, Y (2022) Integrated Carbon Emission Estimation Method and Energy Conservation Analysis: The Port of Los Angles Case Study. Journal of Marine Science and Engineering, 10 (6).

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Abstract

Port environmental problems have gradually become the primary concern of port authorities. The future trend of port carbon emissions is crucial to port authorities and managers in formulating regulations and optimizing operation schedules. Owing to the limitations of current prediction methods and the complex social–environmental impact, the estimation results of port carbon emissions have insufficient accuracy to support port development in the future. In this work, the stochastic impacts by regression on population, affluence, and technology (STIRPAT)–long short-term memory (LSTM)–autoregressive integrated moving average with explanatory variable (ARIMAX) integrated model is proposed for the estimation of the carbon emission of Port of Los Angeles to improve the reliability of emission prediction. Macroeconomic indicators that affect port throughput are selected using the principal component analysis—multiple linear regression model. The chosen indicators are then combined with long-term historical port throughput data as the input of the multivariate autoregressive integrated moving average (ARIMAX) model to predict port throughput. Indicators related to port carbon emissions are verified by the STIRPAT model. The LSTM–ARIMAX integrated model is then applied to estimate the emission tendency, which can be useful in developing corresponding carbon reduction strategies and further understanding port emissions. Results show that the proposed method can significantly improve the estimation accuracy for port emission by 11% compared with existing techniques. Energy conservation strategies are also put forward to assist port authorities in achieving the peak clipping of port carbon emission.

Item Type: Article
Uncontrolled Keywords: 30 Agricultural, Veterinary and Food Sciences; 3709 Physical Geography and Environmental Geoscience; 37 Earth Sciences; 40 Engineering; 4015 Maritime Engineering; 3005 Fisheries Sciences; 0405 Oceanography; 0704 Fisheries Sciences; 0911 Maritime Engineering; 3005 Fisheries sciences; 3709 Physical geography and environmental geoscience; 4015 Maritime engineering
Subjects: T Technology > TA Engineering (General). Civil engineering (General)
V Naval Science > VM Naval architecture. Shipbuilding. Marine engineering
Divisions: Engineering
Publisher: MDPI
SWORD Depositor: A Symplectic
Date Deposited: 25 Mar 2025 15:34
Last Modified: 25 Mar 2025 15:45
DOI or ID number: 10.3390/jmse10060717
URI: https://researchonline.ljmu.ac.uk/id/eprint/25999
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