Integrated Planning for Regional Electric Power System Management with Risk Measure and Carbon Emission Constraints: A Case Study of the Xinjiang Uygur Autonomous Region, China

Yulei Xie, Zhenghui Fu, Dehong Xia, Wentao Lu, Guohe Huang and Han Wang
Additional contact information
Yulei Xie: School of Energy and Environmental Engineering, University of Science and Technology Beijing, Beijing 100083, China
Zhenghui Fu: College of Environmental Science and Engineering, Peking University, Beijing 100871, China
Dehong Xia: School of Energy and Environmental Engineering, University of Science and Technology Beijing, Beijing 100083, China
Wentao Lu: Chinese Academy for Environmental Planning, Beijing 100012, China
Guohe Huang: Environmental Systems Engineering Program, Faculty of Engineering, University of Regina, Regina, SK S4S 0A2, Canada
Han Wang: Department of Environmental Science & Engineering, North China Electric Power University, Baoding 071003, China

Energies, 2019, vol. 12, issue 4, 1-14

Abstract: With the carbon reduction targets being set in the Paris Agreement on Climate Change, China is facing great pressure to meet its emission reduction commitment. The electric power industry as the major source of carbon emissions needs to be a focus. However, the uncertainty of power systems, the risk of reducing emissions and the fuzziness of carbon capture technology popularization rate and carbon reduction targets makes previous planning methods unsatisfactory for current planning. This paper establishes an interval fuzzy programming with a risk measure model which takes carbon capture technology and carbon reduction targets into account, to ensure that the complex electric management system achieves the best developmental state. It was concluded that in order to reduce carbon emissions, wind power and hydropower would be the best choices, and coal-fired power would be the suboptimal choice, and solar power would play a complementary role. Besides, decision makers should put much more effort into promoting and improving carbon capture technology instead of simply setting emission reduction targets. The non-synchronism of the downward trend in carbon emissions per unit of electricity generation and electric power industry total carbon emissions need to be taken seriously.

Keywords: interval fuzzy programming; risk measure; renewable energy; carbon capture technology; carbon emission reduction (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)

Downloads: (external link)
https://www.mdpi.com/1996-1073/12/4/601/pdf (application/pdf)
https://www.mdpi.com/1996-1073/12/4/601/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:12:y:2019:i:4:p:601-:d:205759

Access Statistics for this article

Energies is currently edited by Ms. Agatha Cao

More articles in Energies from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().