Industry-energy system management by a Copula-based stochastic programming approach
Release time:2025-10-22
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- Affiliation of Author(s):
- 环境与市政工程学院
- Journal:
- E3S Web Conference
- Abstract:
- In this study, a Copula-based stochastic industry-energy system management (CSIE) model was developed based on Copula-based stochastic programming and interval linear programming. CSIE model can not only deal with extreme random events in industry-energy system (IES) of resource-dependent cities, but also quantify the risks of industrial energy demand-supply. To prove the practicability, a case study of IES planning in Yulin city was represented. Reasonable solutions of energy production and industrial energy consumption strategy were obtained, which can guarantee that pollutant emission meets the environmental requirements, and the system cost gets the lowest during 2021-2035. Furthermore, CSIE model could be spread to IES management in similar resource-dependent cities.
- Note:
- 祝颖
- Co-author:
- Wei,Z.,Li,Y.X.,Luo,J.Q.,Ge,B.Z
- First Author:
- ZHU Ying
- Indexed by:
- 会议论文
- Volume:
- 卷：267
- Issue:
- 期：
- Page Number:
- 页：01002
- Translation or Not:
- no
- Date of Publication:
- 2021-01-01
- Included Journals:
- EI