Application of neural networks to predict the transient performance of a Run-Around Membrane Energy Exchanger for yearly non-stop operation

International Journal of Heat and Mass Transfer

Volumn 55, Issue 21-22, 2012, Pages 5403-5416

  Akbari, Soheil ^a   Simonson, Carey J ^a   Besant, Robert W ^a  

^a UNIVERSITY OF SASKATCHEWAN   (Canada)

Author keywords

Heat and moisture exchange; Latent effectiveness; Neural network; Run Around Membrane Energy Exchanger; Sensible effectiveness; Transient

Indexed keywords

AIR STREAMS; ANNUAL ENERGY SAVINGS; CONTINUOUS OPERATION; ENERGY EXCHANGERS; ENERGY EXCHANGES; HVAC SYSTEM; LATENT EFFECTIVENESS; LATENT MODELS; MEAN ABSOLUTE DIFFERENCES; MEMBRANE ENERGY; MOISTURE EXCHANGE; NEURAL NETWORK MODEL; NEURAL NETWORKS AND GENETIC ALGORITHMS; SENSIBLE EFFECTIVENESS; SOFT COMPUTING METHODS; TRAINING DATA SETS; TRANSIENT BEHAVIOR; TRANSIENT HEAT; TRANSIENT PERFORMANCE;

C (PROGRAMMING LANGUAGE); CLIMATE CONTROL; ENERGY TRANSFER; FORECASTING; MOISTURE CONTROL; NEURAL NETWORKS; SOFT COMPUTING; TRANSIENTS;

CLIMATE MODELS;

EID: 84864278245     PISSN: 00179310     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ijheatmasstransfer.2012.04.033     Document Type: Article

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