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

Juan Garcia, Ali Khosravi, Ricardo Poley, Mamdouh El Haj Assad, Luiz Machado

Research output: Chapter in Book/Report/Conference proceedingConference contributionProfessional

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.
Original languageEnglish
Title of host publication2019 Advances in Science and Engineering Technology International Conferences, ASET 2019
PublisherIEEE
ISBN (Electronic)9781538682715
DOIs
Publication statusPublished - 2019
MoE publication typeD3 Professional conference proceedings
EventInternational Conference on Renewable and Sustainable Energy - Dubai, United Arab Emirates
Duration: 26 Mar 201928 Mar 2019

Conference

ConferenceInternational Conference on Renewable and Sustainable Energy
CountryUnited Arab Emirates
CityDubai
Period26/03/201928/03/2019

Keywords

  • air conditioning
  • genetic algorithm
  • optimization
  • R-1234yf
  • R-134a

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    Garcia, J., Khosravi, A., Poley, R., El Haj Assad, M., & Machado, L. (2019). Multi-objective optimization of air conditioning system with the low GWP refrigerant R1234yf using genetic algorithm. In 2019 Advances in Science and Engineering Technology International Conferences, ASET 2019 [8714243] IEEE. https://doi.org/10.1109/ICASET.2019.8714243