| Issue |
E3S Web Conf.
Volume 267, 2021
7th International Conference on Energy Science and Chemical Engineering (ICESCE 2021)
|
|
|---|---|---|
| Article Number | 01002 | |
| Number of page(s) | 5 | |
| Section | Energy Development and Utilization and Energy-Saving Technology Application | |
| DOI | https://doi.org/10.1051/e3sconf/202126701002 | |
| Published online | 04 June 2021 | |
Industry-energy system management by a Copula-based stochastic programming approach
1 School of Environment and Municipal Engineering, Xi’an University of Architecture and Technology, Xi’an, China
2 Ankang Environmental Engineering Design Limited Company, Ankang, ChinaType the author addresses here
a* email: zhuyingxauat@163.com,
b email: 948149584@qq.com
c email: 280645040@qq.com
d email: 1115185298@qq.com,
e email: gebz@163.com
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.
© The Authors, published by EDP Sciences, 2021
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.
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