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An Improved Modeling for Low-grade Organic Rankine Cycle Coupled with Optimization Design of Radial-inflow Turbine

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contributor authorZhai, Lijing
contributor authorXu, Guoqiang
contributor authorWen, Jie
contributor authorQuan, Yongkai
contributor authorFu, Jian
contributor authorWu, Hongwei
contributor authorLi, Tingting
date accessioned2017-12-04T17:42:22Z
date available2017-12-04T17:42:22Z
date issued2017-12-01
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.2017.09.063en
identifier issn0196-8904
identifier otherPURE: 12505373
identifier otherPURE UUID: 6d0facd8-6d49-400f-9d11-4a025e9c7a92
identifier urihttp://hdl.handle.net/2299/19586
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.en
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
format extent11en
language isoeng
relation ispartofEnergy Conversion and Managementen
rightsen
subjectOrganic Rankine cycleen
subjectRadial-inflow turbineen
subjectCoupled modelingen
subjectGenetic algorithmen
titleAn Improved Modeling for Low-grade Organic Rankine Cycle Coupled with Optimization Design of Radial-inflow Turbineen
typeArticleen
contributor institutionSchool of Engineering and Technologyen
identifier doihttp://dx.doi.org/10.1016/j.enconman.2017.09.063
description statusPeer revieweden
date embargoedUntil10-10-20


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