Les Inscriptions à la Bibliothèque sont ouvertes en
ligne via le site: https://biblio.enp.edu.dz
Les Réinscriptions se font à :
• La Bibliothèque Annexe pour les étudiants en
2ème Année CPST
• La Bibliothèque Centrale pour les étudiants en Spécialités
A partir de cette page vous pouvez :
Retourner au premier écran avec les recherches... |
Détail de l'auteur
Auteur J. Betzabe Gonzalez-Campos
Documents disponibles écrits par cet auteur
Affiner la rechercheIntegration of renewable energy with industrial absorption refrigeration systems / José María Ponce-Ortega in Industrial & engineering chemistry research, Vol. 50 N° 16 (Août 2011)
[article]
in Industrial & engineering chemistry research > Vol. 50 N° 16 (Août 2011) . - pp. 9667–9684
Titre : Integration of renewable energy with industrial absorption refrigeration systems : systematic design and operation with technical, economic, and environmental objectives Type de document : texte imprimé Auteurs : José María Ponce-Ortega, Auteur ; Eman A. Tora, Auteur ; J. Betzabe Gonzalez-Campos, Auteur Année de publication : 2011 Article en page(s) : pp. 9667–9684 Note générale : Chimie industrielle Langues : Anglais (eng) Mots-clés : Design Refrigeration Résumé : This paper presents a new methodology for the energy integration of systems that require refrigeration. It considers the integration between process streams as well as that between the heat from process stream excess, solar energy, fossil fuels, and biofuels to run the stripper required by the absorption refrigeration (AR) needed. The proposed methodology consists of two stages: the first one identifies the energy targets, while the second one uses a new mathematical programming model to solve a multiobjective optimization mixed-integer linear programming (MILP) problem, allowing one to determine the minimum cost as well as the minimum greenhouse gas emissions (GHGE) to satisfy the utility requirements identified in the first stage. The proposed model considers the optimal selection of different types of solar collectors, and since the solar radiation depends on the season of the year, the model also accounts for the best combination of fossil and biofuels to complement the energy required for the AR. The proposed methodology is very useful to identify the scenario required to implement the use of clean energies in the refrigeration process. Three problems are presented to show the applicability of the proposed methodology, which does not exhibit numerical complications; these results show that process integration helps to get a given reduction in the GHGE economically attractive involving the use of dean energies, besides identifying the required tax credit to get economic and environmentally efficient cooling systems. In addition, because of the availability of the solar radiation, the solar collectors must be integrated with different types of energy, depending on the season of the year. DEWEY : 660 ISSN : 0888-5885 En ligne : http://cat.inist.fr/?aModele=afficheN&cpsidt=24425211 [article] Integration of renewable energy with industrial absorption refrigeration systems : systematic design and operation with technical, economic, and environmental objectives [texte imprimé] / José María Ponce-Ortega, Auteur ; Eman A. Tora, Auteur ; J. Betzabe Gonzalez-Campos, Auteur . - 2011 . - pp. 9667–9684.
Chimie industrielle
Langues : Anglais (eng)
in Industrial & engineering chemistry research > Vol. 50 N° 16 (Août 2011) . - pp. 9667–9684
Mots-clés : Design Refrigeration Résumé : This paper presents a new methodology for the energy integration of systems that require refrigeration. It considers the integration between process streams as well as that between the heat from process stream excess, solar energy, fossil fuels, and biofuels to run the stripper required by the absorption refrigeration (AR) needed. The proposed methodology consists of two stages: the first one identifies the energy targets, while the second one uses a new mathematical programming model to solve a multiobjective optimization mixed-integer linear programming (MILP) problem, allowing one to determine the minimum cost as well as the minimum greenhouse gas emissions (GHGE) to satisfy the utility requirements identified in the first stage. The proposed model considers the optimal selection of different types of solar collectors, and since the solar radiation depends on the season of the year, the model also accounts for the best combination of fossil and biofuels to complement the energy required for the AR. The proposed methodology is very useful to identify the scenario required to implement the use of clean energies in the refrigeration process. Three problems are presented to show the applicability of the proposed methodology, which does not exhibit numerical complications; these results show that process integration helps to get a given reduction in the GHGE economically attractive involving the use of dean energies, besides identifying the required tax credit to get economic and environmentally efficient cooling systems. In addition, because of the availability of the solar radiation, the solar collectors must be integrated with different types of energy, depending on the season of the year. DEWEY : 660 ISSN : 0888-5885 En ligne : http://cat.inist.fr/?aModele=afficheN&cpsidt=24425211 Optimal planning of a biomass conversion system considering economic and environmental aspects / Jose Ezequiel Santibanez-Aguilar in Industrial & engineering chemistry research, Vol. 50 N° 14 (Juillet 2011)
[article]
in Industrial & engineering chemistry research > Vol. 50 N° 14 (Juillet 2011) . - pp. 8558-8570
Titre : Optimal planning of a biomass conversion system considering economic and environmental aspects Type de document : texte imprimé Auteurs : Jose Ezequiel Santibanez-Aguilar, Auteur ; J. Betzabe Gonzalez-Campos, Auteur ; José María Ponce-Ortega, Auteur Année de publication : 2011 Article en page(s) : pp. 8558-8570 Note générale : Chimie industrielle Langues : Anglais (eng) Mots-clés : Biomass Planning Résumé : This paper presents a multiobjective optimization model based on a mathematical programming formulation for the optimal planning of a biorefinery, considering the optimal selection of feedstock, processing technology, and a set of products. The multiobjective optimization problem simultaneously considers the profit maximization and the environmental impact minimization. The economic objective function takes into account the availability of bioresources, processing limits, and demand of products, as well as the costs of feedstocks, products, and processing routes. On the other hand, the environmental assessment includes the overall environmental impact measured through the eco-indicator-99 based on the life cycle analysis methodology. The proposed methodology generates a Pareto curve that identifies the set of optimal solutions for both objectives, and it is applied to a case study for planning the production of a biorefinery in Mexico. DEWEY : 660 ISSN : 0888-5885 En ligne : http://cat.inist.fr/?aModele=afficheN&cpsidt=24346897 [article] Optimal planning of a biomass conversion system considering economic and environmental aspects [texte imprimé] / Jose Ezequiel Santibanez-Aguilar, Auteur ; J. Betzabe Gonzalez-Campos, Auteur ; José María Ponce-Ortega, Auteur . - 2011 . - pp. 8558-8570.
Chimie industrielle
Langues : Anglais (eng)
in Industrial & engineering chemistry research > Vol. 50 N° 14 (Juillet 2011) . - pp. 8558-8570
Mots-clés : Biomass Planning Résumé : This paper presents a multiobjective optimization model based on a mathematical programming formulation for the optimal planning of a biorefinery, considering the optimal selection of feedstock, processing technology, and a set of products. The multiobjective optimization problem simultaneously considers the profit maximization and the environmental impact minimization. The economic objective function takes into account the availability of bioresources, processing limits, and demand of products, as well as the costs of feedstocks, products, and processing routes. On the other hand, the environmental assessment includes the overall environmental impact measured through the eco-indicator-99 based on the life cycle analysis methodology. The proposed methodology generates a Pareto curve that identifies the set of optimal solutions for both objectives, and it is applied to a case study for planning the production of a biorefinery in Mexico. DEWEY : 660 ISSN : 0888-5885 En ligne : http://cat.inist.fr/?aModele=afficheN&cpsidt=24346897