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作 者:MOHTARAM Soheil WU WeiDong ARYANFAR Yashar ABRISHAMI Arya OMIDI Mohammad YANG QiGuo GARCIA ALCARAZ Jorge Luis CHEN YongBao
机构地区:[1]School of Energy and Power Engineering,University of Shanghai for Science and Technology Shanghai 20093,China [2]Department of Electric Engineering and Computation,Autonomous University of Ciudad Judrez,Juarez,Chihuahua,Mexico [3]School of Aerospace Engineering,Tsinghua University Bejing 100084,China [4]School of Energy and Power Engineering,Dalian University of Technology,Dalian116024,China [5]Depariment of Industrial Engineering and Manufacturing,Autonomous University of Ciudad Judrez,Judrez,Chihuahua,Mexico
出 处:《Science China(Technological Sciences)》2022年第11期2703-2722,共20页中国科学(技术科学英文版)
基 金:supported by the National Natural Science Foundation of China(Grant No.52176016);。
摘 要:This research paper aims to perform dynamics analysis,3E assessment including energy,exergy,exergoeconomic,and the multiobjective evolutionary optimization on a novel solar Li-Br absorption refrigeration cycle.The research is time-dependent,owing to solar radiation variability during different timelines.Theoretically,all the necessary thermodynamic,energy,and exergy equations are applied initially.This is followed by the thermoeconomic analysis,which takes place after defining the designing variables during the thermoeconomic optimization process and is presented together with the economic relations of the system and its thermoeconomic characteristics.Furthermore,the sensitivity analysis is undertaken,the source of system inefficiency is determined,the multi-objective evolutionary optimization of the whole system is carried out,and the optimal values are compared with the primary stage.Engineering Equation Solver(EES)software has been used to accomplish comprehensive analyses.As part of the validation process,the results of the research are compared with those published previously and are found to be relatively consistent.
关 键 词:solar absorption refrigeration water-lithium bromide thermodynamics performance exergy analysis multi-objective optimization
分 类 号:TB616[一般工业技术—制冷工程]
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