Finned-tube heat exchanger optimization methodology

Susan W. Stewart, Sam V. Shelton, Kristinn A. Aspelund

Research output: Contribution to journalArticle

7 Citations (Scopus)

Abstract

Heat exchangers play a dominant role in the performance of most energy systems; however, optimization of these components is a complex task due to the coupled nature of the design parameters involved. Anytime the heat transfer coefficient is increased in these components, there is a corresponding increase in frictional pressure drop; therefore, a delicate balance is required between these two effects in heat exchanger optimization. The finned-tube condenser heat exchangers used in residential air conditioning systems are examined in this study. Due to the intricate geometry of the finned-tube heat exchanger, there are no analytical optimization schemes available to optimize their design, while experimental trial and error is far too time consuming, considering the ten different design parameters that can be varied for optimization. This study develops a system model using available analytical and empirical correlations for the entire air conditioning cycle with great detail in the condenser component. An optimization algorithm then uses this model to find an optimum design for ten condenser design parameters using various constraints with a system COP figure of merit. The design optimization methodology is fully developed and presented in the paper so that it can be applied to other energy systems' heat exchanger optimization opportunities. The optimum condenser design was found to give the same performance as a coil optimized through a manual search costing 23% more. It is also shown that the optimum design is consistent with minimum entropy generation for the total system.

Original languageEnglish (US)
Pages (from-to)22-28
Number of pages7
JournalHeat Transfer Engineering
Volume26
Issue number7
DOIs
StatePublished - Sep 1 2005

Fingerprint

tube heat exchangers
methodology
condensers
optimization
heat exchangers
Heat exchangers
Condensers (liquefiers)
air conditioning
Air conditioning
design optimization
Design of experiments
Heat transfer coefficients
Pressure drop
Heat exchangers--Finned tubes
pressure drop
heat transfer coefficients
figure of merit
Entropy
coils
entropy

All Science Journal Classification (ASJC) codes

  • Chemical Engineering(all)
  • Energy Engineering and Power Technology
  • Fuel Technology
  • Physical and Theoretical Chemistry
  • Fluid Flow and Transfer Processes

Cite this

Stewart, Susan W. ; Shelton, Sam V. ; Aspelund, Kristinn A. / Finned-tube heat exchanger optimization methodology. In: Heat Transfer Engineering. 2005 ; Vol. 26, No. 7. pp. 22-28.
@article{bee2f104bcaf48a990a6c0fd6998af9d,
title = "Finned-tube heat exchanger optimization methodology",
abstract = "Heat exchangers play a dominant role in the performance of most energy systems; however, optimization of these components is a complex task due to the coupled nature of the design parameters involved. Anytime the heat transfer coefficient is increased in these components, there is a corresponding increase in frictional pressure drop; therefore, a delicate balance is required between these two effects in heat exchanger optimization. The finned-tube condenser heat exchangers used in residential air conditioning systems are examined in this study. Due to the intricate geometry of the finned-tube heat exchanger, there are no analytical optimization schemes available to optimize their design, while experimental trial and error is far too time consuming, considering the ten different design parameters that can be varied for optimization. This study develops a system model using available analytical and empirical correlations for the entire air conditioning cycle with great detail in the condenser component. An optimization algorithm then uses this model to find an optimum design for ten condenser design parameters using various constraints with a system COP figure of merit. The design optimization methodology is fully developed and presented in the paper so that it can be applied to other energy systems' heat exchanger optimization opportunities. The optimum condenser design was found to give the same performance as a coil optimized through a manual search costing 23{\%} more. It is also shown that the optimum design is consistent with minimum entropy generation for the total system.",
author = "Stewart, {Susan W.} and Shelton, {Sam V.} and Aspelund, {Kristinn A.}",
year = "2005",
month = "9",
day = "1",
doi = "10.1080/01457630590959340",
language = "English (US)",
volume = "26",
pages = "22--28",
journal = "Heat Transfer Engineering",
issn = "0145-7632",
publisher = "Taylor and Francis Ltd.",
number = "7",

}

Finned-tube heat exchanger optimization methodology. / Stewart, Susan W.; Shelton, Sam V.; Aspelund, Kristinn A.

In: Heat Transfer Engineering, Vol. 26, No. 7, 01.09.2005, p. 22-28.

Research output: Contribution to journalArticle

TY - JOUR

T1 - Finned-tube heat exchanger optimization methodology

AU - Stewart, Susan W.

AU - Shelton, Sam V.

AU - Aspelund, Kristinn A.

PY - 2005/9/1

Y1 - 2005/9/1

N2 - Heat exchangers play a dominant role in the performance of most energy systems; however, optimization of these components is a complex task due to the coupled nature of the design parameters involved. Anytime the heat transfer coefficient is increased in these components, there is a corresponding increase in frictional pressure drop; therefore, a delicate balance is required between these two effects in heat exchanger optimization. The finned-tube condenser heat exchangers used in residential air conditioning systems are examined in this study. Due to the intricate geometry of the finned-tube heat exchanger, there are no analytical optimization schemes available to optimize their design, while experimental trial and error is far too time consuming, considering the ten different design parameters that can be varied for optimization. This study develops a system model using available analytical and empirical correlations for the entire air conditioning cycle with great detail in the condenser component. An optimization algorithm then uses this model to find an optimum design for ten condenser design parameters using various constraints with a system COP figure of merit. The design optimization methodology is fully developed and presented in the paper so that it can be applied to other energy systems' heat exchanger optimization opportunities. The optimum condenser design was found to give the same performance as a coil optimized through a manual search costing 23% more. It is also shown that the optimum design is consistent with minimum entropy generation for the total system.

AB - Heat exchangers play a dominant role in the performance of most energy systems; however, optimization of these components is a complex task due to the coupled nature of the design parameters involved. Anytime the heat transfer coefficient is increased in these components, there is a corresponding increase in frictional pressure drop; therefore, a delicate balance is required between these two effects in heat exchanger optimization. The finned-tube condenser heat exchangers used in residential air conditioning systems are examined in this study. Due to the intricate geometry of the finned-tube heat exchanger, there are no analytical optimization schemes available to optimize their design, while experimental trial and error is far too time consuming, considering the ten different design parameters that can be varied for optimization. This study develops a system model using available analytical and empirical correlations for the entire air conditioning cycle with great detail in the condenser component. An optimization algorithm then uses this model to find an optimum design for ten condenser design parameters using various constraints with a system COP figure of merit. The design optimization methodology is fully developed and presented in the paper so that it can be applied to other energy systems' heat exchanger optimization opportunities. The optimum condenser design was found to give the same performance as a coil optimized through a manual search costing 23% more. It is also shown that the optimum design is consistent with minimum entropy generation for the total system.

UR - http://www.scopus.com/inward/record.url?scp=22944467852&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=22944467852&partnerID=8YFLogxK

U2 - 10.1080/01457630590959340

DO - 10.1080/01457630590959340

M3 - Article

AN - SCOPUS:22944467852

VL - 26

SP - 22

EP - 28

JO - Heat Transfer Engineering

JF - Heat Transfer Engineering

SN - 0145-7632

IS - 7

ER -