In this paper, the statistical analyses of the ammonia-water absorption refrigerant system (ARS) are presented. For this purpose, different surface response methods, including the Central composite design (CCD) and Box- Behnken design (BBD), have been studied and compared first to obtain the best response. An attempt is made to study the effect of some factors (mass flow rate, isentropic efficiency of pump, pressure ratio, maximum pressure of cycle, concentration difference of strong and weak solution, concentration of strong solution and effectiveness factor of heat exchanger and pure ammonia concentration) on the system’s response. Based on the design of experiment analysis, regression models are presented to quantify the effects of these parameters on coefficient of performance (COP) and cooling load of the ammonia-water absorption refrigerant cycle. The proposed correlations obtained by the analysis have remarkably satisfactory performance for all simulation data. The error analysis is applied to find the maximum error of 0.482% in numerical computations for ARS by CCD method in midpoint values of parameters.
JawaharCRajaBSaravananR.
Thermodynamic studies on NH3–H2O absorption cooling system using pinch point approach. Int J Refrig2010;
33: 1377–1385.
2.
BerdascoMVallésMCoronasA.
Thermodynamic analysis of an ammonia/water absorption-resorption refrigeration system. Int J Refrig2019;
103: 51–60.
3.
TakeshitaKAmanoY.
Optimal operating conditions and cost-effectiveness of a single-stage ammonia/water absorption refrigerator based on exergy analysis. Energy2018;
155: 1066–1076.
4.
Le LostecBGalanisNMilletteJ.
Simulation of an ammonia–water absorption chiller. Renewable Energy2013;
60: 269–283.
5.
DarwishNAl-HashimiSAl-MansooriA.
Performance analysis and evaluation of a commercial absorption–refrigeration water–ammonia (ARWA) system. Int J Refrig2008;
31: 1214–1223.
6.
DuSWangRChenX.
Analysis on maximum internal heat recovery of a mass-coupled two stage ammonia water absorption refrigeration system. Energy2017;
133: 822–831.
7.
ChenXWangRDuS.
Heat integration of ammonia-water absorption refrigeration system through heat-exchanger network analysis. Energy2017;
141: 1585–1599.
8.
DuSWangR.
A unified single stage ammonia-water absorption system configuration with producing best thermal efficiencies for freezing, air-conditioning and space heating applications. Energy2019;
174: 1039–1048.
9.
ArshadMUGhaniMUUllahA, et al.
Thermodynamic analysis and optimization of double effect absorption refrigeration system using genetic algorithm. Energy Convers Manag2019;
192: 292–307.
10.
LiuMZhangN.
Proposal and analysis of a novel ammonia–water cycle for power and refrigeration cogeneration. Energy2007;
32: 961–970.
11.
GarimellaSPonkalaMJGoyalA, et al.
Waste-heat driven ammonia-water absorption chiller for severe ambient operation. Appl Therm Eng2019;
154: 442–449.
12.
AlelyaniSMFetteNWStechelEB, et al.
Techno-economic analysis of combined ammonia-water absorption refrigeration and desalination. Energy Convers Manag2017;
143: 493–504.
13.
LuDXuQChenG, et al.
Modeling and analysis of an ammonia–water absorption refrigeration system utilizing waste heat with large temperature span. Int J Refrig2019;
103: 180–190.
14.
SaidSSpindlerKEl-ShaarawiM, et al.
Design, construction and operation of a solar powered ammonia–water absorption refrigeration system in Saudi Arabia. Int J Refrig2016;
62: 222–231.
15.
ShokatiNKhanahmadzadehS.
The effect of different combinations of ammonia-water rankine and absorption refrigeration cycles on the exergoeconomic performance of the cogeneration cycle. Appl Therm Eng2018;
141: 1141–1160.
16.
MontgomeryDC.
Design and analysis of experiments.
Hoboken:
John Wiley & Sons, 2017.
17.
HatamiMCuijpersMBootM.
Experimental optimization of the vanes geometry for a variable geometry turbocharger (VGT) using a design of experiment (DoE) approach. Energy Convers Manag2015;
106: 1057–1070.
18.
OkatiVBehzadmehrAFarsadS.
Analysis of a solar desalinator (humidification–dehumidification cycle) including a compound system consisting of a solar humidifier and subsurface condenser using DoE. Desalination2016;
397: 9–21.
19.
KazemianMEbrahimi-NejadcSJaafarianaM.
Experimental investigation of energy consumption and performance of reverse osmosis desalination using design of experiments method. International Journal of Engineering 2018; 31: 79--87.
20.
EkrenOEkrenBY.
Size optimization of a PV/wind hybrid energy conversion system with battery storage using response surface methodology. Appl Energy2008;
85: 1086–1101.
21.
DhingraSBhushanGDubeyKK.
Development of a combined approach for improvement and optimization of karanja biodiesel using response surface methodology and genetic algorithm. Front Energy2013;
7: 495–505.
22.
ShettyRPSathyabhamaAPaiPS.
Comparison of modeling methods for wind power prediction: a critical study. Front Energy2020;
14: 347–312.
23.
BendatoICassettariLMoscaM, et al.
A design of experiments/response surface methodology approach to study the economic sustainability of a 1 MWe photovoltaic plant. Renewable Sustainable Energy Rev2015;
51: 1664–1679.
24.
SreedharanJJeevananthamARajeshkannanA.
Multi-objective optimization for multi-stage sequential plastic injection molding with plating process using RSM and PCA-based weighted-GRA. Proc IMechE, Part C: J Mechanical Engineering Science2020;
234: 1014–1030.
25.
CanbolatABademliogluAArslanogluN, et al.
Performance optimization of absorption refrigeration systems using Taguchi, ANOVA and grey relational analysis methods. J Clean Prod2019;
229: 874–885.
26.
IffaRBBouazizNKairouaniL.
Optimization of absorption refrigeration systems by design of experiments method. Energy Procedia2017;
139: 280–287.
27.
RaghuvanshiSMaheshwariG.
Analysis of ammonia–water (NH3-H2O) vapor absorption refrigeration system based on first law of thermodynamics. Int J Sci Eng Res2011;
2: 1–7.
28.
MohammadiAKasaeianAPourfayazF, et al.
Thermodynamic analysis of a combined gas turbine, ORC cycle and absorption refrigeration for a CCHP system. Appl Therm Eng2017;
111: 397–406.
