Paper
12 December 2024 Research on energy efficiency statistics and online monitoring scheme of port fuel oil equipment under dual carbon background
Zhongfei Kang, Wei Du, Bo Zhang, Teng Tian
Author Affiliations +
Proceedings Volume 13439, Fourth International Conference on Testing Technology and Automation Engineering (TTAE 2024); 1343914 (2024) https://doi.org/10.1117/12.3055344
Event: Fourth International Conference on Testing Technology and Automation Engineering (TTAE 2024), 2024, Xiamen, China
Abstract
In response to the national "carbon peaking and carbon neutralization strategy", the transportation industry, especially ports, needs to vigorously promote the construction of energy consumption monitoring systems, increase the stability and real-time of monitoring data, and provide a basis for "carbon peaking". In view of the weak status of the port fuel online monitoring system, this paper combs and analyzes the current status of the port fuel equipment energy efficiency statistics, pointing out the deficiencies of the statistical methods at the present stage. Through the comparison and analysis of existing fuel online monitoring schemes, the vehicle emission diagnosis system is selected to collect the fuel consumption data of equipment in real time. Through sorting out and analyzing the data of some vehicles, the real-time fuel consumption data and corresponding proportion under different working conditions are obtained, and suggestions for optimization and improvement of production scheduling are put forward. Through online monitoring of fuel equipment, the online monitoring of all energy elements of the port is realized, providing data support for the port enterprises to achieve green and low-carbon development.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Zhongfei Kang, Wei Du, Bo Zhang, and Teng Tian "Research on energy efficiency statistics and online monitoring scheme of port fuel oil equipment under dual carbon background", Proc. SPIE 13439, Fourth International Conference on Testing Technology and Automation Engineering (TTAE 2024), 1343914 (12 December 2024); https://doi.org/10.1117/12.3055344
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KEYWORDS
Carbon

Energy efficiency

Transportation

Mixtures

Statistical analysis

Industry

Environmental monitoring

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