Thermal modeling of gas engine driven air to water heat pump systems in heating mode using genetic algorithm and Artificial Neural Network methods / Sepehr Sanaye in International journal of refrigeration, Vol. 36 N° 8 (Décembre 2013)  

Public ISBD [article]  inInternational journal of refrigeration > Vol. 36 N° 8 (Décembre 2013) . - pp. 2262–2277 Titre : Thermal modeling of gas engine driven air to water heat pump systems in heating mode using genetic algorithm and Artificial Neural Network methods Titre original : Pompes à chaleur air-eau en mode chauffage fonctionnant grâce à un moteur à gaz: modélisation thermique grâce à des méthodes d'algorithmes génétiques et de réseaux neuronaux artificiels Type de document : texte imprimé Auteurs : Sepehr Sanaye, Auteur ; Hesam Asgari, Auteur Année de publication : 2014 Article en page(s) : pp. 2262–2277 Note générale : Refrigeration Langues : Anglais (eng) Mots-clés : Gas engine driven air to water heat pump  plate exchanger  thermal modeling  artificial neural network  genetic algorithm Résumé : The gas-engine driven air-to-water heat pump, type air conditioning system, is composed of two major thermodynamic cycles (including the vapor compression refrigeration cycle and the internal combustion gas engine cycle) as well as a refrigerant-water plate heat exchanger. The thermal modeling of gas engine driven air-to-water heat pump system with engine heat recovery heat exchangers was performed here for the heating mode of operation (in which it was required to model engine heat recovery heat exchanger). The modeling was performed using typical thermodynamic characteristics of system components, Artificial Neural Network and the multi-objective genetic algorithm optimization method. The comparison of modeling results with experimental ones showed average differences of 5.08%, 5.93%, 5.21%, 2.88% and 6.2% which shows acceptable agreement for operating pressure, gas engine fuel consumption, outlet water temperature, engine rotational speed, and system primary energy ratio. En ligne : http://www.sciencedirect.com/science/article/pii/S0140700713001618 [article] Thermal modeling of gas engine driven air to water heat pump systems in heating mode using genetic algorithm and Artificial Neural Network methods = Pompes à chaleur air-eau en mode chauffage fonctionnant grâce à un moteur à gaz: modélisation thermique grâce à des méthodes d'algorithmes génétiques et de réseaux neuronaux artificiels [texte imprimé] / Sepehr Sanaye, Auteur ; Hesam Asgari, Auteur . - 2014 . - pp. 2262–2277. Refrigeration Langues : Anglais (eng) in International journal of refrigeration > Vol. 36 N° 8 (Décembre 2013) . - pp. 2262–2277 Mots-clés : Gas engine driven air to water heat pump  plate exchanger  thermal modeling  artificial neural network  genetic algorithm Résumé : The gas-engine driven air-to-water heat pump, type air conditioning system, is composed of two major thermodynamic cycles (including the vapor compression refrigeration cycle and the internal combustion gas engine cycle) as well as a refrigerant-water plate heat exchanger. The thermal modeling of gas engine driven air-to-water heat pump system with engine heat recovery heat exchangers was performed here for the heating mode of operation (in which it was required to model engine heat recovery heat exchanger). The modeling was performed using typical thermodynamic characteristics of system components, Artificial Neural Network and the multi-objective genetic algorithm optimization method. The comparison of modeling results with experimental ones showed average differences of 5.08%, 5.93%, 5.21%, 2.88% and 6.2% which shows acceptable agreement for operating pressure, gas engine fuel consumption, outlet water temperature, engine rotational speed, and system primary energy ratio. En ligne : http://www.sciencedirect.com/science/article/pii/S0140700713001618

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