2010
DOI: 10.1016/j.energy.2010.02.037
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A new approach to analysis and optimization of evaporative cooling system I: Theory

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Cited by 97 publications
(39 citation statements)
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“…Chen et al [23] introduced the conservation equations of sensible entransy and latent entransy for the evaporative cooling system. Moisture entransy and moisture entransy dissipation were defined.…”
Section: Entransy and Entransy Dissipationmentioning
confidence: 99%
“…Chen et al [23] introduced the conservation equations of sensible entransy and latent entransy for the evaporative cooling system. Moisture entransy and moisture entransy dissipation were defined.…”
Section: Entransy and Entransy Dissipationmentioning
confidence: 99%
“…Chen et al [74][75][76][77] proposed the mass entransy dissipation (ever interpreted as mass transfer potential capacity dissipation function in [74]) extremum principle, and optimized various processes, such as laminar mass transfer [74], photocatalytic oxidation reactor, space station ventilation [76,77] and evaporative cooling systems [78][79][80], etc. Chen et al [81] proposed the moisture resistance method for liquid desiccant performance analysis and optimization.…”
Section: Mass Transfermentioning
confidence: 99%
“…This has already been successfully applied to analyze and optimize heat and mass transfer processes and apparatus including heat conduction [5][6][7][8], heat convection [9][10][11][12][13][14], thermal radiation [15], evaporative cooling [16,17] and heat exchanger (networks) [18][19][20][21][22][23]. In this article, we briefly review the origin and applications of the property diagrams in thermodynamics, propose two state parameters in heat transfer based on the analogy between heat transfer and fluid flow, construct a property diagram in heat transfer by taking the two state parameters as coordinates to describe the variations of entransy for both hot and cold fluids during heat transfer processes and meanwhile measure the irreversibility of the processes, and finally to optimize heat transfer performance and promote energy utilization efficiency qualitatively.…”
mentioning
confidence: 99%