Please use this identifier to cite or link to this item: https://hdl.handle.net/11499/10607
Title: Experimental investigation and radial basis function network modeling of direct evaporative cooling systems
Authors: Kavaklıoğlu, Kadir
Koseoglu, M.F.
Caliskan, Oguz
Keywords: Cooler efficiency
Evaporative cooling
Pressure drop
Radial basis function network
Wet bulb temperature
Cooling
Drops
Efficiency
Evaporation
Evaporative cooling systems
Functions
Learning algorithms
Temperature
Thermoelectric equipment
Direct evaporative cooler
Direct evaporative cooling
Experimental investigations
Feed water temperatures
Ordinary least squares
Two-fold-cross-validation
Radial basis function networks
Publisher: Elsevier Ltd
Abstract: Radial basis function network method is used for modeling a direct evaporative cooling system. Air dry exit temperature, air pressure drop across the cooler and cooler efficiency are predicted using these models. The inputs are pad thickness, air inlet speed, air dry inlet temperature, relative humidity at the inlet and feed water temperature. The data for the models are taken from the experiments performed specifically for this purpose. Model validation is performed using twofold cross validation method. A grid search is used to determine optimal network parameters, such as, optimum number of radial basis elements and spread parameter. Validated models are tested against ordinary least squares models for the output variables. The results indicate that it is feasible to apply radial basis function networks to model direct evaporative coolers. © 2018 Elsevier Ltd
URI: https://hdl.handle.net/11499/10607
https://doi.org/10.1016/j.ijheatmasstransfer.2018.05.022
ISSN: 0017-9310
Appears in Collections:Mühendislik Fakültesi Koleksiyonu
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection

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