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Volumn 96, Issue , 2016, Pages 217-227

Modeling and optimization of R-717 and R-134a ice thermal energy storage air conditioning systems using NSGA-II and MOPSO algorithms

Author keywords

Exergy efficiency; ITES; MOPSO; Multi objective optimization; NSGA II; R 134a; R 717; Total cost rate

Indexed keywords

AIR CONDITIONING; ALGORITHMS; CARBON DIOXIDE; COSTS; DECISION MAKING; ELECTRIC ENERGY STORAGE; ENERGY STORAGE; EXERGY; GENETIC ALGORITHMS; HEAT STORAGE; OFFICE BUILDINGS; OPTIMIZATION; PARAMETER ESTIMATION; PARTICLE SWARM OPTIMIZATION (PSO); POLYOLS; REFRIGERANTS; REFRIGERATION; SCREENING; THERMAL ENERGY;

EID: 84950133277     PISSN: 13594311     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.applthermaleng.2015.11.068     Document Type: Article
Times cited : (36)

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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.