Assessing a Multi-Objective Genetic Algorithm with a Simulated Environment for Energy-Saving of Air Conditioning Systems with User Preferences

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AudienciaPúblico en generales_ES
CoberturaMéxicoes_ES
Fecha de ingreso2026-09-15T00:30:02Z
Fecha de publicación2021-01-01
ResumenElectricity is one of the most important resources for the growth and sustainability of the population. This paper assesses the energy consumption and user satisfaction of a simulated air conditioning system controlled with two different optimization algorithms. The algorithms are a genetic algorithm (GA), implemented from the state of the art, and a non-dominated sorting genetic algorithm II (NSGA II) proposed in this paper; these algorithms control an air conditioning system considering user preferences. It is worth noting that we made several modifications to the objective function’s definition to make it more robust. The energy-saving optimization is essential to reduce CO2 emissions and economic costs; on the other hand, it is desirable for the user to feel comfortable, yet it will entail a higher energy consumption. Thus, we integrate user preferences with energy-saving on a single weighted function and a Pareto bi-objective problem to increase user satisfaction and decrease electrical energy consumption. To assess the experimentation, we constructed a simulator by training a backpropagation neural network with real data from a laboratory’s air conditioning system. According to the results, we conclude that NSGA II provides better results than the state of the art (GA) regarding user preferences and energy-saving.es_ES
Doihttps://doi.org/10.3390/sym13020344es_ES
URIhttps://riuat.uat.edu.mx/handle/123456789/1994
Idiomaeses_ES
EditorialMDPI AGes_ES
RelaciónSymmetryes_ES
URL relacionadohttps://doi.org/10.3390/sym13020344es_ES
DerechosAcceso abierto (Metadatos de producción científica)es_ES
Licenciahttp://purl.org/coar/access_right/c_abf2es_ES
FuenteSymmetry
TítuloAssessing a Multi-Objective Genetic Algorithm with a Simulated Environment for Energy-Saving of Air Conditioning Systems with User Preferenceses_ES
TipoArtículoes_ES
ArbitradoHa sido Arbitradoes_ES
AutorRuiz, Alejandro Humberto García
AutorMartínez, Salvador Ibarra
AutorRocha, José Antonio Castán
AutorVillanueva, Jesús David Terán
AutorMenchaca, Julio Laria
AutorBerrones, Mayra Guadalupe Treviño
AutorFlores, Mirna Patricia Ponce
AutorPineda, Aurelio Alejandro Santiago
AutorRuiz, Alejandro Humberto Garcíaes_ES
AutorMartínez, Salvador Ibarraes_ES
AutorRocha, José Antonio Castánes_ES
AutorVillanueva, Jesús David Teránes_ES
AutorMenchaca, Julio Lariaes_ES
AutorBerrones, Mayra Guadalupe Treviñoes_ES
AutorFlores, Mirna Patricia Poncees_ES
AutorPineda, Aurelio Alejandro Santiagoes_ES
InstituciónUniversidad Autónoma de Tamaulipas
InstituciónUniversidad Autónoma de Tamaulipases_ES
Número2es_ES
Rango de páginas344es_ES
URL relacionadahttps://doi.org/10.3390/sym13020344
Tipo de artículoIndexado
Tipo de artículoIndexadoes_ES
Volumen13es_ES

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