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

Aung Myat, Kyaw Thu, Youngdeuk Kim, Anutosh CHAKRABORTY, Wongee Chun, K. C. Ng

Research output: Contribution to journalArticlepeer-review

63 Scopus citations

Abstract

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. © 2011 Elsevier Ltd. All rights reserved.
Original languageEnglish (US)
Pages (from-to)2405-2413
Number of pages9
JournalApplied Thermal Engineering
Volume31
Issue number14-15
DOIs
StatePublished - Oct 2011

ASJC Scopus subject areas

  • Energy Engineering and Power Technology
  • Industrial and Manufacturing Engineering

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