Simulation of waste heat recovery system with fuzzy based evaporator model

Show simple item record Chowdhury, Jahedul I. Soulatiantork, Payam Nguyen, Bao Kha 2018-02-14T15:24:38Z 2018-02-14T15:24:38Z 2018-02-08
dc.identifier.citation J. I. Chowdhury, P. Soulatiantork and B. K. Nguyen. Simulation of waste heat recovery system with fuzzy based evaporator model. Proceedings of the 2017 11th Asian Control Conference, 17-20 December 2017, Gold Coast, Australia. en_UK
dc.identifier.isbn 978-1-5090-1573-3
dc.description.abstract The organic Rankine cycle (ORC) is one of the promising waste heat recovery (WHR) technologies used to improve the thermal efficiency, reduce the emissions and save the fuel costs of internal combustion engines. In the ORC-WHR system, the evaporator is considered to be the most critical component as the heat transfer of this device influences the efficiency of the system. Although the conventional Finite Volume (FV) model can successfully capture the complex heat transfer process in the evaporator, the computation time for this model is high as it consists of many iterative loops. To reduce the computation time, a new evaporator model using the fuzzy inference technique is developed in this research. The developed fuzzy based model can predict the evaporator outputs with an accuracy of over 90% while it reduces the simulation time significantly. This model is then integrated with other components of the ORC to simulate a completed ORC-WHR system for internal combustion engines. The influence of operating parameters on the performance of the WHR system is investigated in this paper. en_UK
dc.language.iso en en_UK
dc.publisher IEEE en_UK
dc.rights Attribution-NonCommercial 4.0 International *
dc.rights.uri *
dc.subject Heat recovery en_UK
dc.subject Computational modeling en_UK
dc.subject Refrigerants en_UK
dc.subject Heat transfer en_UK
dc.subject Solid modeling en_UK
dc.subject Waste heat en_UK
dc.title Simulation of waste heat recovery system with fuzzy based evaporator model en_UK
dc.type Article en_UK

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