Fuzzy nonlinear dynamic evaporator model in supercritical organic Rankine cycle waste heat recovery systems

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dc.contributor.authorChowdhury, Jahedul Islam
dc.contributor.authorNguyen, Bao Kha
dc.contributor.authorThornhill, David
dc.contributor.authorHu, Yukun
dc.contributor.authorSoulatiantork, Payam
dc.contributor.authorBalta-Ozkan, Nazmiye
dc.contributor.authorVarga, Liz
dc.date.accessioned2018-04-20T08:59:30Z
dc.date.available2018-04-20T08:59:30Z
dc.date.issued2018-04-11
dc.description.abstractThe organic Rankine cycle (ORC)-based waste heat recovery (WHR) system operating under a supercritical condition has a higher potential of thermal efficiency and work output than a traditional subcritical cycle. However, the operation of supercritical cycles is more challenging due to the high pressure in the system and transient behavior of waste heat sources from industrial and automotive engines that affect the performance of the system and the evaporator, which is the most crucial component of the ORC. To take the transient behavior into account, the dynamic model of the evaporator using renowned finite volume (FV) technique is developed in this paper. Although the FV model can capture the transient effects accurately, the model has a limitation for real-time control applications due to its time-intensive computation. To capture the transient effects and reduce the simulation time, a novel fuzzy-based nonlinear dynamic evaporator model is also developed and presented in this paper. The results show that the fuzzy-based model was able to capture the transient effects at a data fitness of over 90%, while it has potential to complete the simulation 700 times faster than the FV model. By integrating with other subcomponent models of the system, such as pump, expander, and condenser, the predicted system output and pressure have a mean average percentage error of 3.11% and 0.001%, respectively. These results suggest that the developed fuzzy-based evaporator and the overall ORC-WHR system can be used for transient simulations and to develop control strategies for real-time applications.en_UK
dc.identifier.citationJahedul Islam Chowdhury, Bao Kha Nguyen, David Thornhill, et al., Fuzzy nonlinear dynamic evaporator model in supercritical organic Rankine cycle waste heat recovery systems. Energies 2018, Vol. 11, Iss. 4, article number 901en_UK
dc.identifier.issn1996-1073
dc.identifier.urihttp://dx.doi.org/10.3390/en11040901
dc.identifier.urihttp://dspace.lib.cranfield.ac.uk/handle/1826/13157
dc.language.isoenen_UK
dc.publisherMDPIen_UK
dc.rightsAttribution 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.subjectdynamic evaporatoren_UK
dc.subjectfuzzy modellingen_UK
dc.subjectORCen_UK
dc.subjectsupercritical cycleen_UK
dc.subjectWHRen_UK
dc.titleFuzzy nonlinear dynamic evaporator model in supercritical organic Rankine cycle waste heat recovery systemsen_UK
dc.typeArticleen_UK

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