Multi-objective optimization of air conditioning system with the low GWP refrigerant R1234yf using genetic algorithm

Juan Garcia, Ali Khosravi, Ricardo Poley, Mamdouh Assad, Luiz MacHado

Publikation: Kapitel i bog/rapport/konference-proceedingKonferencebidrag i proceedingsForskningpeer review

Abstract

The depletion of fossil fuel energy resources, increasing concern of air pollution, global warming and energy crisis have encouraged the research to develop innovative alternatives in engineering systems. This work presents a problem of minimizing the life cycle cost (as an economic criterion) of an air conditioning system for vapor compression and maximizing the useful heat (as a thermodynamic criterion). The mathematical model that represents the objective function has four decision variables: evaporation temperature and condensation temperature of the refrigerant, and volumetric flow rate of air in the condenser and the evaporator. The problem is a global optimization and the search method of solution is genetic algorithm. A thermodynamic model included design of exchanger. The methodology used is for R-1234yf, a low GWP refrigerant, which is R-134a refrigerant substitute.

OriginalsprogEngelsk
Titel2019 Advances in Science and Engineering Technology International Conferences, ASET 2019
ForlagIEEE
Publikationsdato14. maj 2019
Artikelnummer8714243
ISBN (Elektronisk)9781538682715
DOI
StatusUdgivet - 14. maj 2019
Begivenhed2019 Advances in Science and Engineering Technology International Conferences, ASET 2019 - Dubai, Forenede Arabiske Emirater
Varighed: 26. mar. 201910. apr. 2019

Konference

Konference2019 Advances in Science and Engineering Technology International Conferences, ASET 2019
Land/OmrådeForenede Arabiske Emirater
ByDubai
Periode26/03/201910/04/2019

Bibliografisk note

Publisher Copyright:
© 2019 IEEE.

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