Documents disponibles écrits par cet auteur

Four E analysis and multi-objective optimization of an ice thermal energy storage for air-conditioning applications / Sepehr Sanaye in International journal of refrigeration, Vol. 36 N° 3 (Mai 2013) 

Public ISBD [article]  in International journal of refrigeration > Vol. 36 N° 3 (Mai 2013) . - pp. 828–841 Titre : Four E analysis and multi-objective optimization of an ice thermal energy storage for air-conditioning applications : Analyse tenant compte des aspects énergétiques, exergétiques, économiques et environnementaux et optimisation à objectifs multiples Titre original : Système à accumulation thermique de glace pour les applications en conditionnement d'air Type de document : texte imprimé Auteurs : Sepehr Sanaye, Auteur ; Ali Shirazi, Auteur Année de publication : 2013 Article en page(s) : pp. 828–841 Note générale : Refrigeration Langues : Anglais (eng) Mots-clés : Ice  thermal  storage-system;  Energy;  Exergy;  Economy;  Environment;  Multi-objective  optimization Résumé : One method to reduce the peak electrical demand of air-conditioning (A/C) systems is incorporating an ice thermal energy storage (ITES) with the A/C system. In this paper, an ITES system was modeled for A/C applications and analyzed from energy, exergy, economic, and environmental aspects (4E analysis). Applying the genetic algorithm optimization technique, multi-objective optimization of the system was performed and the optimum values of system design parameters were obtained. The exergy efficiency and total cost rate were considered as objective functions. The performance of modeled ITES system was also compared with a conventional system. The results indicated that electricity consumption in ITES system was 10.9% lower than that of the conventional one. Furthermore, 0.659 × 106 kg of CO2 was prevented from emitting into the atmosphere in comparison with the conventional system. The extra capital cost associated with using ITES system was paid back with savings in electricity consumption in 3.39 years. En ligne : http://www.sciencedirect.com/science/article/pii/S0140700712002745 [article] Four E analysis and multi-objective optimization of an ice thermal energy storage for air-conditioning applications = Système à accumulation thermique de glace pour les applications en conditionnement d'air : Analyse tenant compte des aspects énergétiques, exergétiques, économiques et environnementaux et optimisation à objectifs multiples [texte imprimé] / Sepehr Sanaye, Auteur ; Ali Shirazi, Auteur . - 2013 . - pp. 828–841. Refrigeration Langues : Anglais (eng) in International journal of refrigeration > Vol. 36 N° 3 (Mai 2013) . - pp. 828–841 Mots-clés : Ice  thermal  storage-system;  Energy;  Exergy;  Economy;  Environment;  Multi-objective  optimization Résumé : One method to reduce the peak electrical demand of air-conditioning (A/C) systems is incorporating an ice thermal energy storage (ITES) with the A/C system. In this paper, an ITES system was modeled for A/C applications and analyzed from energy, exergy, economic, and environmental aspects (4E analysis). Applying the genetic algorithm optimization technique, multi-objective optimization of the system was performed and the optimum values of system design parameters were obtained. The exergy efficiency and total cost rate were considered as objective functions. The performance of modeled ITES system was also compared with a conventional system. The results indicated that electricity consumption in ITES system was 10.9% lower than that of the conventional one. Furthermore, 0.659 × 106 kg of CO2 was prevented from emitting into the atmosphere in comparison with the conventional system. The extra capital cost associated with using ITES system was paid back with savings in electricity consumption in 3.39 years. En ligne : http://www.sciencedirect.com/science/article/pii/S0140700712002745

Modeling of rotary vane compressor applying artificial neural network / Sepehr Sanaye in International journal of refrigeration, Vol. 34 N° 3 (Mai 2011) 

Public ISBD [article]  in International journal of refrigeration > Vol. 34 N° 3 (Mai 2011) . - pp. 764-772 Titre : Modeling of rotary vane compressor applying artificial neural network Titre original : Modélisation d'un compresseur rotatif à l'aide d'un réseau neuronal Type de document : texte imprimé Auteurs : Sepehr Sanaye, Auteur ; Masoud Dehghandokht, Auteur ; Hassan Mohammadbeigi, Auteur Année de publication : 2011 Article en page(s) : pp. 764-772 Note générale : Génie Mécanique Langues : Anglais (eng) Mots-clés : Neural  network  Rotary  compressor  Automobile  Air  conditioning Index. décimale : 621.5 Energie pneumatique. Machinerie et outils. Réfrigération Résumé : The thermal modeling of rotary vane compressor (RVC) was performed in this paper by applying Artificial Neural Network (ANN) method. In the first step, appropriate tests were designed and experimental data were collected during steady state operating condition of RVC in the experimental setup. Then parameters including refrigerant suction temperature and pressure, compressor rotating speed as well as refrigerant discharge pressure were adjusted.With these input values, the operating output parameters such as refrigerant mass flow rate and refrigerant discharge temperature were measured. In the second step, the experimental results were used to train ANN model for predicting RVC operating parameters such as refrigerant mass flow rate and compressor power consumption. These predicted operating parameters by ANN model agreed well with the experimental values with correlation coefficient in the range of 0.962–0.998, mean relative errors in the range of 2.79–7.36% as well as root mean square error (RMSE) 10.59 kg h−1 and 12 K for refrigerant mass flow rate and refrigerant discharge temperature, respectively. Results showed closer predictions with experimental results for ANN model in comparison with nolinear regression model. DEWEY : 621.5 ISSN : 0140-7007 En ligne : http://www.sciencedirect.com/science/article/pii/S0140700710002811 [article] Modeling of rotary vane compressor applying artificial neural network = Modélisation d'un compresseur rotatif à l'aide d'un réseau neuronal [texte imprimé] / Sepehr Sanaye, Auteur ; Masoud Dehghandokht, Auteur ; Hassan Mohammadbeigi, Auteur . - 2011 . - pp. 764-772. Génie Mécanique Langues : Anglais (eng) in International journal of refrigeration > Vol. 34 N° 3 (Mai 2011) . - pp. 764-772 Mots-clés : Neural  network  Rotary  compressor  Automobile  Air  conditioning Index. décimale : 621.5 Energie pneumatique. Machinerie et outils. Réfrigération Résumé : The thermal modeling of rotary vane compressor (RVC) was performed in this paper by applying Artificial Neural Network (ANN) method. In the first step, appropriate tests were designed and experimental data were collected during steady state operating condition of RVC in the experimental setup. Then parameters including refrigerant suction temperature and pressure, compressor rotating speed as well as refrigerant discharge pressure were adjusted.With these input values, the operating output parameters such as refrigerant mass flow rate and refrigerant discharge temperature were measured. In the second step, the experimental results were used to train ANN model for predicting RVC operating parameters such as refrigerant mass flow rate and compressor power consumption. These predicted operating parameters by ANN model agreed well with the experimental values with correlation coefficient in the range of 0.962–0.998, mean relative errors in the range of 2.79–7.36% as well as root mean square error (RMSE) 10.59 kg h−1 and 12 K for refrigerant mass flow rate and refrigerant discharge temperature, respectively. Results showed closer predictions with experimental results for ANN model in comparison with nolinear regression model. DEWEY : 621.5 ISSN : 0140-7007 En ligne : http://www.sciencedirect.com/science/article/pii/S0140700710002811

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]  in International 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  heat  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  heat  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

Vertical ground coupled steam ejector heat pump; thermal-economic modeling and optimization / Sepehr Sanaye in International journal of refrigeration, Vol. 34 N° 7 (Novembre 2011) 

Public ISBD [article]  in International journal of refrigeration > Vol. 34 N° 7 (Novembre 2011) . - pp. 1562-1576 Titre : Vertical ground coupled steam ejector heat pump; thermal-economic modeling and optimization Titre original : Pompe à chaleur à éjecteur de vapeur couplée sol-eau: modélisation et optimisation thermoéconomiques Type de document : texte imprimé Auteurs : Sepehr Sanaye, Auteur ; Behzad Niroomand, Auteur Année de publication : 2011 Article en page(s) : pp. 1562-1576 Note générale : Génie Mécanique Langues : Anglais (eng) Mots-clés : Heat  pump  Ground-water  Ejector  system  Modelling  Simulation  Optimisation  Performance Index. décimale : 621.5 Energie pneumatique. Machinerie et outils. Réfrigération Résumé : A vertical ground coupled steam ejector heat pump is a Ground Coupled Heat Pump (GCHP) with closed Vertical Ground Heat eXchanger (VGHX) which utilizes the steam ejector type of refrigeration cycle instead of the vapor-compression type. This paper presents the modeling and optimizing a Ground-Coupled Steam Ejector Heat Pump (GC-SEHP) with closed VGHX. The system included two main sections of VGHX and steam ejector heat pump (SEHP), and was optimized by minimizing its total annual cost (TAC) as the objective function. Two optimization techniques (Nelder–Mead and Genetic Algorithm) were applied to guarantee the validity of optimization results. For the given heating/cooling loads as well as for various climatic conditions, the optimum design parameters of GC-SEHP with closed VGHX were predicted. Furthermore, the changes in TAC and optimum design parameters with the climatic conditions, cooling/heating capacity, soil type, and number of boreholes were discussed. DEWEY : 621.5 ISSN : 0140-7007 En ligne : http://www.sciencedirect.com/science/article/pii/S0140700710000502 [article] Vertical ground coupled steam ejector heat pump; thermal-economic modeling and optimization = Pompe à chaleur à éjecteur de vapeur couplée sol-eau: modélisation et optimisation thermoéconomiques [texte imprimé] / Sepehr Sanaye, Auteur ; Behzad Niroomand, Auteur . - 2011 . - pp. 1562-1576. Génie Mécanique Langues : Anglais (eng) in International journal of refrigeration > Vol. 34 N° 7 (Novembre 2011) . - pp. 1562-1576 Mots-clés : Heat  pump  Ground-water  Ejector  system  Modelling  Simulation  Optimisation  Performance Index. décimale : 621.5 Energie pneumatique. Machinerie et outils. Réfrigération Résumé : A vertical ground coupled steam ejector heat pump is a Ground Coupled Heat Pump (GCHP) with closed Vertical Ground Heat eXchanger (VGHX) which utilizes the steam ejector type of refrigeration cycle instead of the vapor-compression type. This paper presents the modeling and optimizing a Ground-Coupled Steam Ejector Heat Pump (GC-SEHP) with closed VGHX. The system included two main sections of VGHX and steam ejector heat pump (SEHP), and was optimized by minimizing its total annual cost (TAC) as the objective function. Two optimization techniques (Nelder–Mead and Genetic Algorithm) were applied to guarantee the validity of optimization results. For the given heating/cooling loads as well as for various climatic conditions, the optimum design parameters of GC-SEHP with closed VGHX were predicted. Furthermore, the changes in TAC and optimum design parameters with the climatic conditions, cooling/heating capacity, soil type, and number of boreholes were discussed. DEWEY : 621.5 ISSN : 0140-7007 En ligne : http://www.sciencedirect.com/science/article/pii/S0140700710000502