Paper
20 January 2025 Comprehensive evaluation and application of energy efficiency and CO2 emission levels at container terminals
Nini Wang
Author Affiliations +
Proceedings Volume 13422, Fourth International Conference on Intelligent Traffic Systems and Smart City (ITSSC 2024); 134222J (2025) https://doi.org/10.1117/12.3050968
Event: Fourth International Conference on Intelligent Traffic Systems and Smart City (ITSSC 2024), 2024, Xi'an, China
Abstract
The rapid growth of international trade has promoted the development of container transportation, with container terminals playing a crucial role in the process. Multiple factors, including throughput, energy type, and the energy consumption of individual equipment, influence the energy consumption and CO2 emissions at container terminals. It is essential to comprehensively assess these terminals' energy efficiency and CO2 emission levels. This study integrates the influencing factors of energy efficiency and CO2 emission intensity at container terminals, establishes evaluation indicators and applies the super-efficiency data envelopment analysis (DEA) method to develop a comprehensive evaluation model. The model is used to assess container terminals' energy efficiency and CO2 emission intensity levels, and its effectiveness is validated through case studies. This study innovatively integrates the evaluation of energy efficiency and CO2 emission levels, using objective data on energy consumption, throughput, and the energy consumption of operational equipment, thereby overcoming subjective influences. The proposed method provides a technical foundation for assessing the energy efficiency and CO2 emission levels of container terminals.
(2025) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Nini Wang "Comprehensive evaluation and application of energy efficiency and CO2 emission levels at container terminals", Proc. SPIE 13422, Fourth International Conference on Intelligent Traffic Systems and Smart City (ITSSC 2024), 134222J (20 January 2025); https://doi.org/10.1117/12.3050968
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KEYWORDS
Energy efficiency

Data modeling

Fiber optic handling equipment

Decision making

Standards development

Factor analysis

Intelligence systems

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