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Experimental Study on the Performance of ORC System Based on Ultra-Low Temperature Heat Sources

作     者:Tianyu Zhou Liang Hao Xin Xu Meng Si Lian Zhang 

作者机构:College of Mechanical EngineeringTianjin University of Science&TechnologyTianjin300222China School of Energy EngineeringTianjin Sino-German University of Applied SciencesTianjin300350China Tianjin“The Belt and Road”Joint LaboratoryTianjin Sino-German University of Applied SciencesTianjin300350China 

出 版 物:《Energy Engineering》 (能源工程(英文))

年 卷 期:2024年第121卷第1期

页      面:145-168页

核心收录:

学科分类:0711[理学-系统科学] 080702[工学-热能工程] 08[工学] 0807[工学-动力工程及工程热物理] 

基  金:This work was supported by Tianjin Natural Science Foundation(No.21JCZDJC00750) 

主  题:ORC load percentage of simulated heat source resistive load rotary valve opening power generation 

摘      要:This paper discussed the experimental results of the performance of an organic Rankine cycle(ORC)system with an ultra-low temperature heat *** low boiling point working medium R134a was adopted in the *** simulated heat source temperature(SHST)in this work was set from 39.51°C to 48.60°C by the simulated heat source *** influence of load percentage of simulated heat source(LPSHS)between 50%and 70%,the rotary valve opening(RVO)between 20%and 100%,the resistive load between 36Ωand 180Ωor the no-load of the generator,as well as the autumn and winter ambient temperature on the system performance were *** results showed that the stability of the system was promoted when the generator had a resistive *** power generation(PG)and generator speed(GS)of the system in autumn were better than in winter,but the expander pressure ratio(EPR)was lower than in *** RVO unchanged,the SHST,the mass flow rate(MFR)of the working medium,GS,and the PG of the system increased with the increasing of LPSHS for different generator resistance load *** the RVO was 60%,LPSHS was 70%,the SHST was 44.15°C and the resistive load was 72Ω,the highest PG reached 15.11 ***,a simulation formula was obtained for LPSHS,resistance load,and PG,and its correlation coefficient was between 0.9818 and *** formula can accurately predict the *** experimental results showed that the standard deviation between the experimental and simulated values was below 0.0792,and the relative error was within±5%.

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