A novel approach using predictive models for performance analysis of desiccant enhanced evaporative cooling systems
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- @Article{Sohani:2016:ATE,
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author = "Ali Sohani and Hoseyn Sayyaadi and
Hamidreza Hasani Balyani and Sina Hoseinpoori",
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title = "A novel approach using predictive models for
performance analysis of desiccant enhanced evaporative
cooling systems",
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journal = "Applied Thermal Engineering",
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volume = "107",
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pages = "227--252",
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year = "2016",
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ISSN = "1359-4311",
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DOI = "doi:10.1016/j.applthermaleng.2016.06.121",
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URL = "http://www.sciencedirect.com/science/article/pii/S1359431116310353",
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abstract = "A thorough investigation on parameters that having the
potential impact on performance of the desiccant
enhanced evaporative air conditioning, DEVAP, system
was conducted. Five soft computing and statistical
tools, SCST, including the artificial neural network,
ANN, group method of data handling, GMDH, genetic
programming, GP, multiple linear regression, MLR, and
stepwise regression method, SRM, were used to predict
the overall performance of DEVAP system. These SCST
models were trained and tested using numerical and
experimental data. The dehumidifier stage was assumed
to be incorporated separately into two different types
of counter flow indirect dew point evaporative coolers
as the second stage. For each stage, the best SCST
models have been determined through comparing with
experimental data via error criteria, including the
mean square error (MSE), and coefficient of
determination (R2). It was found that the GMDH and SRM
methods propose the foremost models for evaluating the
performance of the second stage. Furthermore, SRM
approach was found to be the best model describing the
performance of the dehumidifier. Then a comprehensive
sensitivity analysis was conducted for dehumidifier
part. It was concluded that an effective strategy for
improving dehumidifier is the implementing a part of
its product air as the working air.",
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keywords = "genetic algorithms, genetic programming, Analytical
expression, Dehumidifier, Desiccant enhanced
evaporative cooling systems, DEVAP, M-cycle indirect
evaporative cooler, Soft computing and statistical
methods",
- }
Genetic Programming entries for
Ali Sohani
Hoseyn Sayyaadi
Hamidreza Hasani Balyani
Sina Hoseinpoori
Citations