Chinese Science Bulletin

, Volume 59, Issue 33, pp 4397–4404 | Cite as

Set point optimization of controlled Organic Rankine Cycle systems

  • Jianhua Zhang
  • Mingming Lin
  • Fei Shi
  • Jia Meng
  • Jinliang Xu
Article Engineering Thermophysics
First Online:
Received:
Accepted:

Abstract

In this paper, an approach to optimize set points is proposed for controlled Organic Rankine Cycle (ORC) systems. Owing to both disturbances and variations of operating point existing in ORC systems, it is necessary to optimize the set points for controlled ORC systems so as to improve the energy conversion efficiency. At first, the optimal set points of controlled ORC systems are investigated by revisiting performance analysis and optimization of ORC systems. The expected set points of the evaporating pressure and the temperature at evaporator outlet are then determined by combining genetic algorithm with least squares support vector machine (GA-LSSVM). Simulation results show that the predicted results by GA-LSSVM can be regarded as the optimal set points of controlled ORC systems with varying operating conditions.

Keywords

Organic Rankine Cycle Set point optimization Energy conversion efficiency Genetic algorithm Least squares support vector machine 
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Notes

Acknowledgements

This work was supported by the National Basic Research Program of China (2011CB710706) and the National Natural Science Foundation of China (51210011, 61374025).

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Copyright information

© Science China Press and Springer-Verlag Berlin Heidelberg 2014

Authors and Affiliations

  • Jianhua Zhang
    • 1
  • Mingming Lin
    • 2
  • Fei Shi
    • 2
  • Jia Meng
    • 2
  • Jinliang Xu
    • 3
  1. 1.State Key Laboratory of Alternate Electrical Power System with Renewable Energy SourcesNorth China Electric Power UniversityBeijingChina
  2. 2.School of Control and Computer EngineeringNorth China Electric Power UniversityBeijingChina
  3. 3.The Beijing Key Laboratory of New and Renewable EnergyNorth China Electric Power UniversityBeijingChina

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