Issue |
E3S Web of Conf.
Volume 406, 2023
2023 9th International Conference on Energy Materials and Environment Engineering (ICEMEE 2023)
|
|
---|---|---|
Article Number | 03001 | |
Number of page(s) | 4 | |
Section | Pollution Control and Ecosystem Management | |
DOI | https://doi.org/10.1051/e3sconf/202340603001 | |
Published online | 31 July 2023 |
Optimization Method for Minimum Carbon Emission Operation of Comprehensive Energy Park Based on Dynamic Carbon Emission Factor
Marketing Service Center, Zhejiang Electric Power Company, Hangzhou 310008, China
* corresponding author’s e-mail address: zjdl_lcg@163.com
With the grand goals of “carbon peaking” and “carbon neutrality” being put forward, establishing an efficient comprehensive energy system and promoting the allocation and consumption of clean energy have become the challenges faced by many industrial parks in energy conservation and carbon reduction. Because the comprehensive energy park has various energy forms such as cold, heat, electricity, and gas, the energy structure is complex, and the renewable energy and load are highly volatile. Aiming at this problem, this paper builds a low-carbon operation model of comprehensive energy parks based on dynamic carbon emission factors, which can significantly improve the accuracy of the total carbon emission consumption in the park, and provide strong support for guiding the operation of equipment in the park and the charging and discharging of energy storage equipment.
© The Authors, published by EDP Sciences, 2023
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.