Modelling of Evaporator in Waste Heat Recovery System using Finite Volume Method and Fuzzy Technique

Jahedul Islam Chowdhury, Bao Kha Nguyen and David Thornhill
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Jahedul Islam Chowdhury: School of Mechanical and Aerospace Engineering, Queen’s University Belfast, Belfast BT9 5AH, UK
Bao Kha Nguyen: School of Mechanical and Aerospace Engineering, Queen’s University Belfast, Belfast BT9 5AH, UK
David Thornhill: School of Mechanical and Aerospace Engineering, Queen’s University Belfast, Belfast BT9 5AH, UK

Energies, 2015, vol. 8, issue 12, 1-20

Abstract: The evaporator is an important component in the Organic Rankine Cycle (ORC)-based Waste Heat Recovery (WHR) system since the effective heat transfer of this device reflects on the efficiency of the system. When the WHR system operates under supercritical conditions, the heat transfer mechanism in the evaporator is unpredictable due to the change of thermo-physical properties of the fluid with temperature. Although the conventional finite volume model can successfully capture those changes in the evaporator of the WHR process, the computation time for this method is high. To reduce the computation time, this paper develops a new fuzzy based evaporator model and compares its performance with the finite volume method. The results show that the fuzzy technique can be applied to predict the output of the supercritical evaporator in the waste heat recovery system and can significantly reduce the required computation time. The proposed model, therefore, has the potential to be used in real time control applications.

Keywords: evaporator modelling; finite volume; fuzzy; Organic Rankine Cycle (ORC); supercritical condition; waste heat recovery (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: 2015
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (9)

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