Issue |
E3S Web Conf.
Volume 350, 2022
International Conference on Environment, Renewable Energy and Green Chemical Engineering (EREGCE 2022)
|
|
---|---|---|
Article Number | 03004 | |
Number of page(s) | 6 | |
Section | Green Chemical Engineering | |
DOI | https://doi.org/10.1051/e3sconf/202235003004 | |
Published online | 09 May 2022 |
WISCO’s Low-carbon Transformation Based On LEAP And Scenario Analysis
State Key Lab of Coal Combustion, Hua Zhong University of Science and Technology, 430074, Wuhan, China
* Corresponding author: sunlushi@hust.edu.cn
The paper takes Wuhan Iron and Steel Co., Ltd. (hereinafter referred to as “ WISCO “) energy consumption and carbon emissions as the research object, and analyzes WISCO’s carbon emissions. Through the construction of WISCO’s Long range Energy Alternatives Planning system (hereinafter referred to as LEAP) prediction model for energy consumption and carbon emissions, three scenarios have been set up: a baseline scenario, an energy efficiency improvement scenario, and an energy structure change scenario to measure WISCO’s carbon emissions. Based on the results of the LEAP model, this article puts forward the following recommendations for WISCO’s low-carbon transformation. WISCO must strictly control steel output.WISCO should introduce electric furnaces to increase the proportion of electric furnace steel. While ensuring the supply of scrap steel resources, WISCO ought to use scrap steel efficiently. In addition, introduction of hydrogen direct reduction iron technology is also crucial to WISCO in a planned way.
© The Authors, published by EDP Sciences, 2022
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.