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dc.contributor.authorZhai, Lijing
dc.contributor.authorXu, Guoqiang
dc.contributor.authorWen, Jie
dc.contributor.authorQuan, Yongkai
dc.contributor.authorFu, Jian
dc.contributor.authorWu, Hongwei
dc.contributor.authorLi, Tingting
dc.date.accessioned2017-12-04T17:42:22Z
dc.date.available2017-12-04T17:42:22Z
dc.date.issued2017-12-01
dc.identifier.citationZhai , L , Xu , G , Wen , J , Quan , Y , Fu , J , Wu , H & Li , T 2017 , ' An Improved Modeling for Low-grade Organic Rankine Cycle Coupled with Optimization Design of Radial-inflow Turbine ' Energy Conversion and Management , vol 153 , pp. 60-70 . DOI: 10.1016/j.enconman.2017.09.063
dc.identifier.issn0196-8904
dc.identifier.otherPURE: 12505373
dc.identifier.otherPURE UUID: 6d0facd8-6d49-400f-9d11-4a025e9c7a92
dc.identifier.otherScopus: 85040131958
dc.identifier.urihttp://hdl.handle.net/2299/19586
dc.descriptionThis document is the Accepted Manuscript of the following article: Lijing Zhai, Guoqiang Xu, Jie Wen, Yongkai Quan, Jian Fu, Hongwei Wu, and Tingting Li, ‘An improved modeling for low-grade organic Rankine cycle coupled with optimization design of radial-inflow turbine’, Energy Conversion and Management, Vol. 153: 60-70, December 2017. Under embargo. Embargo end date: 10 October 2018. The final, published version is available online at DOI: https://doi.org/10.1016/j.enconman.2017.09.063. Published by Elsevier Ltd.
dc.description.abstractOrganic Rankine cycle (ORC) has been proven to be an effective and promising technology to convert low-grade heat energy into power, attracting rapidly growing interest in recent years. As the key component of the ORC system, turbine significantly influences the overall cycle performance and its efficiency also varies with different working fluids as well as in different operating conditions. However, turbine efficiency is generally assumed to be constant in the conventional cycle design. Aiming at this issue, this paper couples the ORC system design with the radial-inflow turbine design to investigate the thermodynamic performance of the ORC system and the aerodynamic characteristics of radial-inflow turbine simultaneously. The constrained genetic algorithm (GA) is used to optimize the radial-inflow turbine with attention to six design parameters, including degree of reaction, velocity ratio, loading coefficient, flow coefficient, ratio of wheel diameter, and rotational speed. The influence of heat source outlet temperature on the performance of the radial-inflow turbine and the ORC system with constant mass flow rate of the heat source and constant heat source inlet temperature is investigated for four kinds of working fluids. The net electrical powers achieved are from few tens kWs to one hundred kWs. The results show that the turbine efficiency decreases with increasing heat source outlet temperature and that the decreasing rate of turbine efficiency becomes faster in the high temperature region. The optimized turbine efficiency varies from 88.06% (using pentane at the outlet temperature of 105 ºC) to 91.01% (using R245fa at the outlet temperature of 80 ºC), which appears much higher compared to common values reported in the literature. Furthermore, the cycle efficiency increases monotonously with the growth of the heat source outlet temperature, whereas the net power output has the opposite trend. R123 achieves the maximum cycle efficiency of 12.21% at the heat source outlet temperature of 110 ºC. Based on the optimized results, the recommended ranges of the key design parameters for ORC radial-inflow turbine are presented as well.en
dc.format.extent11
dc.language.isoeng
dc.relation.ispartofEnergy Conversion and Management
dc.rights/dk/atira/pure/core/openaccesspermission/embargoed
dc.subjectOrganic Rankine cycle
dc.subjectRadial-inflow turbine
dc.subjectCoupled modeling
dc.subjectGenetic algorithm
dc.titleAn Improved Modeling for Low-grade Organic Rankine Cycle Coupled with Optimization Design of Radial-inflow Turbineen
dc.contributor.institutionSchool of Engineering and Technology
dc.description.statusPeer reviewed
dc.date.embargoedUntil2018-10-10
dc.relation.schoolSchool of Engineering and Technology
dc.description.versiontypeFinal Accepted Version
dcterms.dateAccepted2017-09-23
rioxxterms.versionAM
rioxxterms.versionofrecordhttps://doi.org/10.1016/j.enconman.2017.09.063
rioxxterms.licenseref.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/
rioxxterms.licenseref.startdate2018-10-10+01:00
rioxxterms.typeJournal Article/Review
herts.preservation.rarelyaccessedtrue
herts.date.embargo2018-10-10+01:00
herts.rights.accesstypeopenAccess


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