TY - JOUR
T1 - Analysis of operation and construction parameters for adsorption chiller performance with MATLAB/Simulink simulation
AU - Gediz Ilis, Gamze
AU - Demir, Hasan
AU - Saha, Bidyut Baran
N1 - Publisher Copyright:
© 2021 Elsevier Ltd
PY - 2021/11/5
Y1 - 2021/11/5
N2 - The study focuses on improving operation and construction parameters that affect cooling performance novel adsorption chiller with a unified condenser-adsorbent bed. The effect of the variables on novel adsorption chiller is taken into consideration. The cooling performance of the chiller is analyzed using the central composite design and response surface methodology simulations. The effects of cooling/heating water flowrates of the adsorber, chilled water flow rates in the evaporator, evaporator heat exchangers areas, and construction material of adsorption chiller on cooling performance are analyzed by a developed dynamics-based model using MATLAB/Simulink. R-square of 0.9531 showed good agreement between experimental and Simulink results. The chiller cooling performance is estimated with the developed correlation with an R-square of 0.9995 using central composite design simulations. The best cooling performance value is found as 0.9013 with an aluminum material design where water flow rates dominate the performance.
AB - The study focuses on improving operation and construction parameters that affect cooling performance novel adsorption chiller with a unified condenser-adsorbent bed. The effect of the variables on novel adsorption chiller is taken into consideration. The cooling performance of the chiller is analyzed using the central composite design and response surface methodology simulations. The effects of cooling/heating water flowrates of the adsorber, chilled water flow rates in the evaporator, evaporator heat exchangers areas, and construction material of adsorption chiller on cooling performance are analyzed by a developed dynamics-based model using MATLAB/Simulink. R-square of 0.9531 showed good agreement between experimental and Simulink results. The chiller cooling performance is estimated with the developed correlation with an R-square of 0.9995 using central composite design simulations. The best cooling performance value is found as 0.9013 with an aluminum material design where water flow rates dominate the performance.
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U2 - 10.1016/j.applthermaleng.2021.117499
DO - 10.1016/j.applthermaleng.2021.117499
M3 - Article
AN - SCOPUS:85114175085
VL - 198
JO - Journal of Heat Recovery Systems
JF - Journal of Heat Recovery Systems
SN - 1359-4311
M1 - 117499
ER -