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International Journal of Photoenergy
Volume 2015, Article ID 217201, 8 pages
Research Article

Improved Optimization Study of Integration Strategies in Solar Aided Coal-Fired Power Generation System

School of Energy Power and Mechanical Engineering, North China Electric Power University, Beijing 102206, China

Received 28 December 2014; Revised 5 June 2015; Accepted 11 June 2015

Academic Editor: Sauro Filippeschi

Copyright © 2015 Rongrong Zhai et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


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.