Improved Optimization Study of Integration Strategies in Solar Aided Coal-Fired Power Generation System
Joint Authors
Zhao, Miaomiao
Li, Chao
Peng, Pan
Yang, Yongping
Zhai, Rongrong
Source
International Journal of Photoenergy
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-08-03
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Abstract EN
Solar aided coal-fired power generation system (SACFPGS) combines solar energy and traditional coal-fired units in a particular way.
This study mainly improves the solar thermal storage system.
Genetic algorithm is used to optimize the SACFPGS.
The best integration approach of the system, the collector area, and the corresponding thermal storage capacity to replace each high-pressure extraction are obtained when the amount of coal saving in unit solar investment per hour is at its largest.
System performance before and after the improvement is compared.
Results show that the improvement of the thermal storage system effectively increases the economic benefit of the integrated system.
American Psychological Association (APA)
Zhai, Rongrong& Zhao, Miaomiao& Li, Chao& Peng, Pan& Yang, Yongping. 2015. Improved Optimization Study of Integration Strategies in Solar Aided Coal-Fired Power Generation System. International Journal of Photoenergy،Vol. 2015, no. 2015, pp.1-8.
https://search.emarefa.net/detail/BIM-1066405
Modern Language Association (MLA)
Zhai, Rongrong…[et al.]. Improved Optimization Study of Integration Strategies in Solar Aided Coal-Fired Power Generation System. International Journal of Photoenergy No. 2015 (2015), pp.1-8.
https://search.emarefa.net/detail/BIM-1066405
American Medical Association (AMA)
Zhai, Rongrong& Zhao, Miaomiao& Li, Chao& Peng, Pan& Yang, Yongping. Improved Optimization Study of Integration Strategies in Solar Aided Coal-Fired Power Generation System. International Journal of Photoenergy. 2015. Vol. 2015, no. 2015, pp.1-8.
https://search.emarefa.net/detail/BIM-1066405
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1066405