A second law analysis and entropy generation minimization of an absorption chiller

Aung Myat, Kyaw Thu, Young Deuk Kim, A. Chakraborty, Won Gee Chun, Kim Choon Ng

Research output: Contribution to journalArticlepeer-review

80 Citations (Scopus)


This paper presents performance analysis of absorption refrigeration system (ARS) using an entropy generation analysis. A numerical model predicts the performance of absorption cycle operating under transient conditions along with the entropy generation computation at assorted heat source temperatures, and it captures also the dynamic changes of lithium bromide solution properties such as concentration, density, vapor pressure and overall heat transfer coefficients. An optimization tool, namely the genetic algorithm (GA), is used as to locate the system minima for all defined domain of heat source and cooling water temperatures. The analysis shows that minimization of entropy generation the in absorption cycle leads to the maximization of the COP.

Original languageEnglish
Pages (from-to)2405-2413
Number of pages9
JournalApplied Thermal Engineering
Issue number14-15
Publication statusPublished - Oct 2011
Externally publishedYes

All Science Journal Classification (ASJC) codes

  • Energy Engineering and Power Technology
  • Industrial and Manufacturing Engineering


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