Modelling of evaporator in Waste Heat Recovery system using finite volume method and fuzzy technique

Chowdhury, Jahedul Islam, Nguyen, Bao Kha and Thornhill, David (2015) Modelling of evaporator in Waste Heat Recovery system using finite volume method and fuzzy technique. Energies, 8 (12). pp. 14078-14097. ISSN 1996-1073

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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.

Item Type: Article
Keywords: vaporator modelling, finite volume, fuzzy, Organic Rankine Cycle (ORC), supercritical condition, waste heat recovery
Schools and Departments: School of Engineering and Informatics > Engineering and Design
Subjects: T Technology > TJ Mechanical engineering and machinery > TJ0163.26 Energy conservation
T Technology > TJ Mechanical engineering and machinery > TJ0212 Control engineering systems. Automatic machinery (General)
T Technology > TJ Mechanical engineering and machinery > TJ0751 Miscellaneous motors and engines Including gas, gasoline, diesel engines
T Technology > TL Motor vehicles. Aeronautics. Astronautics > TL0001 Motor vehicles.Cycles
Depositing User: Bao Kha Nguyen
Date Deposited: 14 Jul 2017 14:15
Last Modified: 14 Jul 2017 14:17
URI: http://sro.sussex.ac.uk/id/eprint/69276

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