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Simulation of Waste Heat Recovery System with Fuzzy Based Evaporator Model.pdf (548.2 kB)

Simulation of waste heat recovery system with fuzzy based evaporator model

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conference contribution
posted on 2023-06-26, 07:15 authored by J I Chowdhury, P Soulatiantork, Bao Kha NguyenBao Kha Nguyen
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 ORCWHR 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.


Publication status

  • Published

File Version

  • Accepted version


2017 11th Asian Control Conference (ASCC)

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Event name

The 2017 Asian Control Conference - ASCC 2017

Event location

Gold Coast, Australia

Event type


Event date

17-20 December 2017



Department affiliated with

  • Engineering and Design Publications

Research groups affiliated with

  • Dynamics, Control and Vehicle Research Group Publications

Full text available

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Peer reviewed?

  • Yes

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