Publications Scientifiques

[ Article ] Modeling of a direct expansion geothermal heat pump using artificial neural networks

Date de soumission: 22-02-2018
Année de Publication: 2014
Entité/Laboratoire Autres laboratoires
Document type : Article
Discipline(s) : Energie
Titre Modeling of a direct expansion geothermal heat pump using artificial neural networks
Auteurs FANNOU JEAN LOUIS COMLAN [1], Rousseau Clément [2], Lamarche Louis [3], Stanislaw Kajl [4],
Journal: ENERGY AND BUILDING
Catégorie Journal: Internationale
Impact factor: 2.93
Volume Journal: 81
DOI: http://dx.doi.org/10.1016/j.enbuild.2014.06.040
Resume The real potential for energy savings exists in heating, ventilation, and air conditioning systems in general, and especially in geothermal heat pumps systems. Recent studies indicate that a mere 1% improvement in the efficiency of such systems generates millions of dollars in savings at the national level. This efficiency can be optimized when better control strategies are implemented. A first step in the control and optimization process is to establish a model that describes the system's behavior. In this study, artificial neural networks were selected for modeling a particular type of heat pump called direct expansion geothermal heat pump because the ground heat exchanger is a component of the heat pump, and thus directly plays the role of condenser or evaporator according to the operation mode. The data collection methodology and the algorithms used for training are presented. Of the four algorithms tested in this study with variable numbers of neurons in the hidden layers, the model obtained using the Levenberg–Marquardt (LM) algorithm with 28 neurons in the hidden layer appears to be the best, with an average coefficient of multiple determinations of about 0.9991, an average RMS of 0.16330, and an average COV of 2.9319.
Mots clés Modeling; Geothermal; Heat pump; Direct expansion; Neural network; Heating
Pages 381 - 390
Fichier (PDF)

Publications par entité

  • Centre de Formation et de Recherche en matière de Population (CEFORP) (15)
  • Centre Interfacultaire de Formation et de Recherche en Environnement pour le Développement Durable (CIFRED) (18)
  • Chaire Internationale en Physique Mathématique et Applications (CIPMA-Chaire UNESCO) (16)
  • Ecole Nationale d'Administration et de Magistrature (ENAM) (44)
  • Ecole Nationle d'Economie Appliquée et de Management (72)
  • Ecole Normale Supérieure (23)
  • Ecole Polytechnique d'Abomey-Calavi (EPAC) (834)
  • Faculté de droit et de Science Politique (FADESP) (45)
  • Faculté des Lettres et Sciences Humaines (FLASH) (789)
  • Faculté des Sciences Agronomiques (1376)
  • Faculté des Sciences de la Santé (FSS) (1613)
  • Faculté des Sciences Economiques et de Gestion (FASEG) (136)
  • Faculté des Sciences et Techniques (FAST) (748)
  • Faculté des Sciences Humaines et Sociales (FASHS) (16)
  • Institut de Formation et de Recherche en Informatique (IFRI) (68)
  • Institut de Mathématiques et de Sciences Physiques (IMSP) (61)
  • Institut National de l'Eau (INE) (13)
  • INSTITUT NATIONAL DE LA JEUNESSE DE L’EDUCATION PHYSIQUE ET SPORT(INJEPS) (191)
  • Institut National des Métiers d'Art d'Archéologie et de la Culture (INMAAC) (4)
  • Institut Régional de Santé Publique (IRSP) (51)

Publications par sexe

  • Femme( 908 )
  • Homme (