Aprea, Ciro||Maiorino, Angelo||Babiloni, Adrián Mota
Refrigeration Systems and Applications 2019
English[eng]
artificial neural network||P-? indicator diagram||r1234ze(e)||experimental||ethylene-glycol nanofluids||HFO||magneto-caloric effect||thermodynamic analysis||HVAC||refrigerant reclamation||domestic refrigeration system||distillation||R-410A||energy efficiency||energy consumption||LiCl-H2O||acetoxy silicone rubber||exergy analysis||two-phase ejector||modelling||Cu nanofluids||off-design behaviors||eddy currents||heat transfer||phase change material||r1234yf||superheating||irreversibility||gadolinium||CFD||artificial neural network (ANN)||CO2||chiller energy consumption||vapor compression system||thermal energy storage||heat pump||nanofluids||thermodynamic performance||transiting exergy||caloric cooling||solid-state cooling||LiBr-H2O||parasitic heat load||hydraulic turbine||calculation model||magnetic refrigeration||coefficient of performance||transcritical system||magnetocaloric effect||LaFe13 ? x ? yCoxSiy||twin-screw refrigeration compressor||absorption refrigeration system||thermal load||ejector refrigeration technology||barocaloric