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

A. Myat, K. Thu, K. C. Ng, Y. D. Kim

研究成果: ジャーナルへの寄稿記事

6 引用 (Scopus)

抜粋

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.

元の言語英語
ページ(範囲)142-156
ページ数15
ジャーナルProceedings of the Institution of Mechanical Engineers, Part E: Journal of Process Mechanical Engineering
226
発行部数2
DOI
出版物ステータス出版済み - 5 1 2012
外部発表Yes

    フィンガープリント

All Science Journal Classification (ASJC) codes

  • Mechanical Engineering
  • Industrial and Manufacturing Engineering

これを引用