An entropy generation and genetic algorithm optimization of two-bed adsorption cooling cycle

Handle URI:
http://hdl.handle.net/10754/561883
Title:
An entropy generation and genetic algorithm optimization of two-bed adsorption cooling cycle
Authors:
Myat, Aung; Thu, Kyaw; Ng, K. C.; Kim, Youngdeuk
Abstract:
This article presents the performance analysis of adsorption cooling, shortly AD, system using a thermodynamic framework with an entropy generation analysis. The model captures the transient and the cyclic steady-state performances of the adsorption-desorption cycles operating under assorted heat source temperatures. Type-RD silica gel, with a pore surface area of 720 m2/g and diameters 0.4-0.7 mm, is used as an adsorbent and its high affinity for thewater vapour adsorbate gives a high equilibrium uptake. The key advantages of the AD are (a) it has no moving parts rendering less maintenance and (b) the energy efficient means of cooling by the adsorption process with a low-temperature heat source and (c) it is environmental friendly with low carbon footprint. By incorporating the genetic algorithm onto the entropy minimization technique, it is possible to locate the optimal system performance point or the global minima with respect to entropy generation using the system parameters such as coolant and heat source water temperatures, heat transfer areas, etc. The system analysis shows that the minimization of entropy generation in the AD cycle leads to the maximization of the coefficient of performance and this translates into a higher delivery of useful cooling effects at the particular input resource temperature. © Authors 2011.
KAUST Department:
Water Desalination and Reuse Research Center (WDRC); Water Desalination & Reuse Research Cntr
Publisher:
SAGE Publications
Journal:
Proceedings of the Institution of Mechanical Engineers, Part E: Journal of Process Mechanical Engineering
Issue Date:
28-Sep-2011
DOI:
10.1177/0954408911416439
Type:
Article
ISSN:
09544089
Sponsors:
The authors gratefully express their gratitude to Agency of Science, Technology and Research (A*STAR) for providing generous financial support for the project (grant no. R265-000-287-305).
Appears in Collections:
Articles; Water Desalination and Reuse Research Center (WDRC)

Full metadata record

DC FieldValue Language
dc.contributor.authorMyat, Aungen
dc.contributor.authorThu, Kyawen
dc.contributor.authorNg, K. C.en
dc.contributor.authorKim, Youngdeuken
dc.date.accessioned2015-08-03T09:33:15Zen
dc.date.available2015-08-03T09:33:15Zen
dc.date.issued2011-09-28en
dc.identifier.issn09544089en
dc.identifier.doi10.1177/0954408911416439en
dc.identifier.urihttp://hdl.handle.net/10754/561883en
dc.description.abstractThis article presents the performance analysis of adsorption cooling, shortly AD, system using a thermodynamic framework with an entropy generation analysis. The model captures the transient and the cyclic steady-state performances of the adsorption-desorption cycles operating under assorted heat source temperatures. Type-RD silica gel, with a pore surface area of 720 m2/g and diameters 0.4-0.7 mm, is used as an adsorbent and its high affinity for thewater vapour adsorbate gives a high equilibrium uptake. The key advantages of the AD are (a) it has no moving parts rendering less maintenance and (b) the energy efficient means of cooling by the adsorption process with a low-temperature heat source and (c) it is environmental friendly with low carbon footprint. By incorporating the genetic algorithm onto the entropy minimization technique, it is possible to locate the optimal system performance point or the global minima with respect to entropy generation using the system parameters such as coolant and heat source water temperatures, heat transfer areas, etc. The system analysis shows that the minimization of entropy generation in the AD cycle leads to the maximization of the coefficient of performance and this translates into a higher delivery of useful cooling effects at the particular input resource temperature. © Authors 2011.en
dc.description.sponsorshipThe authors gratefully express their gratitude to Agency of Science, Technology and Research (A*STAR) for providing generous financial support for the project (grant no. R265-000-287-305).en
dc.publisherSAGE Publicationsen
dc.subjectadsorption coolingen
dc.subjectentropy generationen
dc.subjectgenetic algorithmen
dc.subjectminimizationen
dc.subjectsilica gelen
dc.subjectwaste heat recoveryen
dc.titleAn entropy generation and genetic algorithm optimization of two-bed adsorption cooling cycleen
dc.typeArticleen
dc.contributor.departmentWater Desalination and Reuse Research Center (WDRC)en
dc.contributor.departmentWater Desalination & Reuse Research Cntren
dc.identifier.journalProceedings of the Institution of Mechanical Engineers, Part E: Journal of Process Mechanical Engineeringen
dc.contributor.institutionDepartment of Mechanical Engineering, National University of Singapore, Singapore 117576, Singaporeen
kaust.authorThu, Kyawen
kaust.authorKim, Youngdeuken
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