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AuthorPakari, Ali
AuthorGhani, Saud
Available date2020-04-09T12:27:29Z
Publication Date2019
Publication NameEnergy Conversion and Management
ResourceScopus
ISSN1968904
URIhttp://dx.doi.org/10.1016/j.enconman.2019.02.025
URIhttp://hdl.handle.net/10576/14004
AbstractPractitioners take more interest in the output conditions of cooling systems than the details of the processes. In this study, regression models are developed that relate input parameters, including operational and geometrical parameters, to selected output responses of counter flow dew point evaporative cooling systems using numerical simulations and response surface methodology. The considered input operational parameters are inlet air temperature, inlet air relative humidity, inlet air velocity, and extraction ratio. The considered geometrical parameters are the channel length and channel width of the cooling system. The selected output responses are outlet air temperature, outlet air relative humidity, and wet-bulb effectiveness. The regression models are developed using a numerical model that is validated using experimental measurements. The predicted outlet temperatures of the counter flow dew point evaporative cooling system using the regression model match the numerical model predictions and experimental measurements within 4% and 10%, respectively. Therefore, the developed regression models provide a simple mean to predict the performance, aid in the design and optimization of counter flow dew point evaporative cooling systems.
SponsorThis work was supported by the Aspire Zone Foundation [award number QUEX-CENG-ASPIRE-11/12-7 ].
Languageen
PublisherElsevier Ltd
SubjectCentral composite design
Experiments
Numerical model
Regenerative evaporative cooling
Response surface methodology
Statistical model
TitleRegression models for performance prediction of counter flow dew point evaporative cooling systems
TypeArticle
Pagination562-573
Volume Number185
dc.accessType Abstract Only


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