Performance study of solar-assisted air-conditioning system provided with storage tanks using artificial neural networks

International Journal of Refrigeration

Volumn 34, Issue 6, 2011, Pages 1446-1454

  Rosiek, S ^a   Batlles, F J ^a  

^a UNIVERSITY OF ALMERÍA   (Spain)

Author keywords

Absorption system; Neural network; Thermal storage

Indexed keywords

ABSORPTION CHILLERS; ABSORPTION SYSTEM; AIRCONDITIONING SYSTEMS; ARTIFICIAL NEURAL NETWORK MODELS; AUXILIARY HEATER; COEFFICIENT OF PERFORMANCE; COOLING CAPACITY; ENERGY RESEARCH CENTERS; HOT WATER STORAGE TANKS; INPUT VARIABLES; OPTIMAL TOPOLOGIES; OUTPUT NEURONS; PERFORMANCE STUDY; ROOT MEAN SQUARE ERRORS; STORAGE TANK; THERMAL STORAGE;

ABSORPTION COOLING; AIR CONDITIONING; COLD STORAGE; COOLING SYSTEMS; HEAT STORAGE; REFRIGERATORS; SOLAR ENERGY; SOLAR SYSTEM; WATER ABSORPTION; WATER TANKS;

NEURAL NETWORKS;

EID: 79961023939     PISSN: 01407007     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ijrefrig.2011.05.003     Document Type: Conference Paper

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