Issue |
E3S Web Conf.
Volume 528, 2024
2024 3rd International Symposium on New Energy Technology Innovation and Low Carbon Development (NET-LC 2024)
|
|
---|---|---|
Article Number | 03026 | |
Number of page(s) | 5 | |
Section | Carbon Emission Research and Sustainable Development | |
DOI | https://doi.org/10.1051/e3sconf/202452803026 | |
Published online | 28 May 2024 |
Energy Flow Modeling and Low Carbon Analysis of Processoriented Production Line
Beijing University of Technology, Beijing, 100124, China
* Corresponding author’s e-mail: zhangzihua@bjut.edu.cn
Nowadays, energy and environmental problems are becoming more and more prominent, and the energy-based manufacturing industry also needs to face huge energy consumption problems. Therefore, production processes need to be investigated from an energy efficiency perspective at an early design stage so that maximum benefits can be obtained at low cost, low time and low risk. This process industry carbon emissions system does not calculate the consumption of raw materials and electricity in a generalized way at the boundaries of the plant. Rather, we delve into each step of the process and perform mathematical modeling of the process through a graphical approach, incorporating each link and factor that constitutes and influences the change in carbon emissions, and performing an aggregation of carbon emissions for the entire production line. It facilitates the subsequent improvement and optimization of the entire process-based production line, providing the basis for implementing and establishing the best energy-saving system.
© The Authors, published by EDP Sciences, 2024
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.