Fin-and-tube condenser performance evaluation using neural networks

International Journal of Refrigeration

Volumn 33, Issue 3, 2010, Pages 625-634

  Zhao, Ling Xiao ^a   Zhang, Chun Lu ^b  

^a SHANGHAI JIAO TONG UNIVERSITY   (China)

^b Carrier Corporation   (China)

Author keywords

Air cooled condenser; Condenseur air; changeur de chaleur; Heat exchanger; Neural network; Performance; R seau neuronal; Simulation

Indexed keywords

AIR FLOWRATES; AIR SIDES; AIR-COOLED CONDENSER; AIR-COOLED CONDENSERS; BULB TEMPERATURE; FIRST PRINCIPLE MODELS; HEATING CAPACITY; INLET TEMPERATURE; MULTI-INPUT MULTI-OUTPUT; MULTIINPUT; NEURAL NETWORK MODEL; PERFORMANCE EVALUATION; REFRIGERATION SYSTEM; SATURATED TEMPERATURES; STANDARD DEVIATION; TRAINING DATA SETS; TUBE CONDENSER;

COMPUTER SIMULATION; CONDENSER TUBES; CONDENSERS (LIQUEFIERS); COOLING SYSTEMS; FINS (HEAT EXCHANGE); HEAT EXCHANGERS; INLET FLOW; REFRIGERANTS; REFRIGERATION; WATER ANALYSIS;

NEURAL NETWORKS;

EID: 76849099462     PISSN: 01407007     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ijrefrig.2009.11.008     Document Type: Article

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