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

Tutkimustuotos: Artikkeli kirjassa/konferenssijulkaisussa

Tutkijat

  • Juan Garcia
  • Ali Khosravi

  • Ricardo Poley
  • Mamdouh El Haj Assad
  • Luiz Machado

Organisaatiot

  • Federal University of Itajubá
  • Universidade Federal de Minas Gerais
  • University of Sharjah

Kuvaus

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.

Yksityiskohdat

AlkuperäiskieliEnglanti
Otsikko2019 Advances in Science and Engineering Technology International Conferences, ASET 2019
TilaHyväksytty/In press - 27 maaliskuuta 2019
OKM-julkaisutyyppiD3 Ammatillisen konferenssin julkaisusarja
TapahtumaInternational Conference on Renewable and Sustainable Energy - Dubai, Yhdistyneet arabiemiirikunnat
Kesto: 26 maaliskuuta 201928 maaliskuuta 2019

Julkaisusarja

Nimi2019 Advances in Science and Engineering Technology International Conferences, ASET 2019

Conference

ConferenceInternational Conference on Renewable and Sustainable Energy
MaaYhdistyneet arabiemiirikunnat
KaupunkiDubai
Ajanjakso26/03/201928/03/2019

ID: 33609926