Thermodynamic analysis and neural network model of open cycle desiccant cooling systems with silica gel

Koronaki, IP; Rogdakis, E; Kakatsiou, T

dc.contributor.author	Koronaki, IP	en
dc.contributor.author	Rogdakis, E	en
dc.contributor.author	Kakatsiou, T	en
dc.date.accessioned	2014-03-01T02:04:16Z
dc.date.available	2014-03-01T02:04:16Z
dc.date.issued	2011	en
dc.identifier.issn	19708734	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/29415
dc.relation.uri	http://www.scopus.com/inward/record.url?eid=2-s2.0-82955226322&partnerID=40&md5=847a366b60ccc96376cfb47dc3dacfd8	en
dc.subject	Desiccant wheel	en
dc.subject	Effectiveness	en
dc.subject	Evaporative cooler	en
dc.subject	Heat exchanger	en
dc.subject	Silica gel	en
dc.title	Thermodynamic analysis and neural network model of open cycle desiccant cooling systems with silica gel	en
heal.type	journalArticle	en
heal.publicationDate	2011	en
heal.abstract	This paper examines three different approaches for desiccant wheel performance of Type I silica gel as a component of the desiccant cooling system combined with evaporative coolers. A neural network model based on the training of a black box model with real data was developed and compared to a non-linear analogy method as well as a prediction method based on experimental results for the state of air at the process and regeneration stream. The key parameters are the effectiveness of the desiccant wheel, the effectiveness of the sensible heat exchanger and of the evaporative cooler as well as the regeneration temperature, the sensible heat factor of the room and the ratio of the mass flow rate in the regeneration and process stream. The results of this analysis reveal that all the parameters investigated affect the performance of the desiccant cooling system in all models. Apart from components effectiveness, low regeneration temperatures, suitable for silica gel, associated with sources of waste heat as the regeneration energy source, have been investigated. The proposed Neural Network Model for Desiccant Cooling Systems follows satisfactorily the model that is based on the interpolation of experimental data obtained from the industry. © 2011 Praise Worthy Prize S.r.l. - All rights reserved.	en
heal.journalName	International Review of Mechanical Engineering	en
dc.identifier.volume	5	en
dc.identifier.issue	2	en
dc.identifier.spage	298	en
dc.identifier.epage	304	en