A comprehensive performance investigation of cellulose evaporative cooling pad systems using predictive approaches
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- @Article{Sohani:2017:ATE,
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author = "Ali Sohani and Mitra Zabihigivi and
Mohammad Hossein Moradi and Hoseyn Sayyaadi and
Hamidreza Hasani Balyani",
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title = "A comprehensive performance investigation of cellulose
evaporative cooling pad systems using predictive
approaches",
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journal = "Applied Thermal Engineering",
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volume = "110",
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pages = "1589--1608",
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year = "2017",
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ISSN = "1359-4311",
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DOI = "doi:10.1016/j.applthermaleng.2016.08.216",
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URL = "http://www.sciencedirect.com/science/article/pii/S1359431116315769",
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abstract = "Developing the soft computing and statistical tools
(SCST) for predicting the behavior pattern of the
performance features of a cellulose evaporative cooling
pad system was studied. Three soft computing and
statistical tools- artificial neural network (ANN),
genetic programming (GP), and multiple linear
regression (MLR)- were used to predict the supply air
temperature and pad pressure drop. The prediction
abilities of obtained models were analyzed and compared
with analytical models, and a comprehensive error
analysis was conducted. It was found that the MLR and
ANN models perform better than the other approaches for
predicting the supply air temperature and the pad
pressure drop, respectively. The obtained models had
the accuracy of numerical models as well as the
simplicity of analytical methods. Effects of inlet air
conditions and pad characteristics on nine different
system performance parameters like thermal comfort
indices were also studied, comprehensively. It was
found that the best values for pad thickness and
specific contact area are the minimum values of them,
which provide thermal comfort conditions (7 cm and 420
m2 m-3 for the investigated case respectively). Using
the direct evaporative cooling system with
recirculation of a part of the cooled air in very hot
and dry weather conditions was investigated and
suggested as an alternative for conventional systems.",
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keywords = "genetic algorithms, genetic programming, Artificial
neural network, Cellulose pad, Evaporative cooling,
Inlet air pre-cooling, Multiple linear regression",
- }
Genetic Programming entries for
Ali Sohani
Mitra Zabihigivi
Mohammad Hossein Moradi
Hoseyn Sayyaadi
Hamidreza Hasani Balyani
Citations