Simulation of waste heat recovery system with fuzzy based evaporator model

Simple item page
dc.contributor.authorChowdhury, Jahedul I.
dc.contributor.authorSoulatiantork, Payam
dc.contributor.authorNguyen, Bao Kha
dc.date.accessioned2018-02-14T15:24:38Z
dc.date.available2018-02-14T15:24:38Z
dc.date.issued2018-02-08
dc.description.abstractThe 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.identifier.citationJ. 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.isbn978-1-5090-1573-3
dc.identifier.urihttp://dspace.lib.cranfield.ac.uk/handle/1826/13000
dc.language.isoenen_UK
dc.publisherIEEEen_UK
dc.rightsAttribution-NonCommercial 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by-nc/4.0/*
dc.subjectHeat recoveryen_UK
dc.subjectComputational modelingen_UK
dc.subjectRefrigerantsen_UK
dc.subjectHeat transferen_UK
dc.subjectSolid modelingen_UK
dc.subjectWaste heaten_UK
dc.titleSimulation of waste heat recovery system with fuzzy based evaporator modelen_UK
dc.typeArticleen_UK

Files

Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
Waste_heat_recovery_system-2017.pdf
Size:
640.28 KB
Format:
Adobe Portable Document Format
Description:
Download
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.63 KB
Format:
Item-specific license agreed upon to submission
Description:
Download

Collections

Staff publications (SWEE)