2016
DOI: 10.1016/j.applthermaleng.2016.06.121
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A novel approach using predictive models for performance analysis of desiccant enhanced evaporative cooling systems

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Cited by 69 publications
(19 citation statements)
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“…According to simulation results, LDEOS could save 12% of primary energy as compared to conventional VAV. Sohani et al 71 have performed a comprehensive study on the factors affecting the different performance parameters of the DEVap system. DEVap's overall performance is evaluated using five soft computing and statistical methods (SCST), like genetic programming (GP), artificial neural network (ANN), multiple linear regression (MLR), group method of data handling (GMDH), and stepwise regression method.…”
Section: Liquid Desiccant System With the Indirect Evaporative Coolermentioning
confidence: 99%
“…According to simulation results, LDEOS could save 12% of primary energy as compared to conventional VAV. Sohani et al 71 have performed a comprehensive study on the factors affecting the different performance parameters of the DEVap system. DEVap's overall performance is evaluated using five soft computing and statistical methods (SCST), like genetic programming (GP), artificial neural network (ANN), multiple linear regression (MLR), group method of data handling (GMDH), and stepwise regression method.…”
Section: Liquid Desiccant System With the Indirect Evaporative Coolermentioning
confidence: 99%
“…It was found that when the air-to-inlet ratio of the second stage is increased, there is an equality of performance criteria, so it has an optimal value. 21,22 Also A. Abdalisousan et al come up with a particle swarm in a new possible way. Optimization (PSO) was investigated to achieve economic optimization and in this study, the economic analysis of combined cycle power plants was performed using classical optimization.…”
Section: Petrakopoulou Et Al Have Investigated Common Exergy Analysimentioning
confidence: 99%
“…Although desiccant wheel is a key component of desiccant evaporative cooling (DEC) system, but analysis of complete cooling system is often focused instead of comprehensive analysis of individual desiccant component [18][19][20][21][22][23]. Furthermore, precise prediction of desiccant wheel performance in transient energy system simulations for DEC systems is also of prime importance.…”
Section: --------------mentioning
confidence: 99%