Journal of Guangdong University of Technology ›› 2022, Vol. 39 ›› Issue (06): 98-106.doi: 10.12052/gdutxb.200177

• Comprehensive Studies • Previous Articles     Next Articles

Optimization Method of Organic Rankine Cycle System Based on Time Series Aggregation

Wei You-xing, Luo Xiang-long, Hu Ling-feng, Chen Jian-yong, Liang Ying-zong, Yang Zhi, Chen Ying   

  1. School of Material and Energy, Guangdong University of Technology, Guangzhou 510006, China
  • Received:2020-12-30 Online:2022-11-10 Published:2022-11-25

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Abstract: Organic Rankine cycle (ORC) power generation technology has a wide application potential in the recovery of medium-to-low temperature waste heat and medium-to-low temperature solar thermal power generation. The system optimization design is of great significance to improve system power generation efficiency and reduce the annual generation cost of the system. A synchronous optimization model of the equipment structure parameters and system operation parameters of the solar-driven ORC system is established. Considering the characteristics of solar radiation and ambient temperature changes with time, based on the time series aggregation method, five aggregation points were obtained as design conditions, and the optimal design schemes under the five aggregation design conditions are obtained. The results show that the solar radiation and the environmental design temperature are different, and the designed system structure parameters and operating schemes are different; When the solar radiation is low and the solar radiation value is high, the electricity production cost (EPC) is the lowest and the ORC efficiency is the highest.

Key words: organic Rankine cycle, design conditions, time series aggregation, optimization

CLC Number: 

  • TK121
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