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Application of an Evolution Program for Refirgerant Circuitry Optimization.

Published

Author(s)

Piotr A. Domanski, David A. Yashar

Abstract

Increased concerns about climate change have emphasized the importance of air-conditioning and refrigeration systems with a high coefficient of performance (COP). The effectiveness of heat exchangers significantly influences the vapor-compression system's COP. Evolutionary algorithms provide an opportunity to optimize engineering designs of heat exchangers beyond what is typically feasible for humans. This paper presents a summary of our past and most recent work with finned-tube heat exchangers using an evolutionary program, Intelligent System for Heat Exchanger Design (ISHED), which optimizes refrigerant circuitry. The experiments with ISHED included evaporators and condensers working with refrigerants of vastly different thermophysical properties and heat exchangers exposed to non-uniform air distributions. In all cases, ISHED generated circuitry designs that were as good as or better than those prepared manually. Further simulations showed that the COP ranking of R600a, R290, R134a, R22, R410A, and R32 in systems with optimized heat exchangers differed trom the ranking obtained using theoretical cycle analysis. In the system simulations, the high-pressure refrigerants overcame the thermodynamic disadvantage associated with their low critical temperature and had higher COPs than the low-pressure refrigerants.
Proceedings Title
Challenges to Sustainability. ACRECONF 2007. Proceedings
Conference Dates
December 7-8, 2007
Conference Location
New Delhi,

Keywords

refrigerants, air conditioning, heat exchanger, algorithms, temperature, thermophysical properties, evaporators, entrophy, cooling, air distribution, computational fluid dynamics

Citation

Domanski, P. and Yashar, D. (2007), Application of an Evolution Program for Refirgerant Circuitry Optimization., Challenges to Sustainability. ACRECONF 2007. Proceedings, New Delhi, , [online], https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=916694 (Accessed December 9, 2024)

Issues

If you have any questions about this publication or are having problems accessing it, please contact reflib@nist.gov.

Created December 7, 2007, Updated February 17, 2017