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Advances in energy systems engineering / Pei Liu in Industrial & engineering chemistry research, Vol. 50 N° 9 (Mai 2011) 

Public ISBD [article]  in Industrial & engineering chemistry research > Vol. 50 N° 9 (Mai 2011) . - pp. 4915–4926 Titre : Advances in energy systems engineering Type de document : texte imprimé Auteurs : Pei Liu, Auteur ; Georgiadis, Michael C., Auteur ; Efstratios N. Pistikopoulos, Auteur Année de publication : 2011 Article en page(s) : pp. 4915–4926 Note générale : Chimie industrielle Langues : Anglais (eng) Mots-clés : Energy  systems Résumé : Huge and ever-increasing energy consumption and consequent greenhouse gas (GHG) emissions pose unprecedented challenges to the sustainable development of the international human society. Our existing energy systems, where primary energy is converted to all sorts of final energy services, remain the major contributor to these global energy and environmental challenges. It is becoming a consensus that the conventional energy conversion and utilization mode should make place for a more sustainable one with higher energy conversion efficiency, lower air pollutions and GHG emissions, less dependence on fossil fuels, and more utilization of renewable energy. However, although there exist many technical options and technology pathways to enable this transition, they are usually treated separately by their very own technical communities and political groups without coordination with others, and the overall effect and potential is therefore greatly constrained as compared to a systematic approach where all alternatives are taken into consideration in an integrated way. Energy systems engineering provides a methodological modeling and optimization framework to address the complex energy and environmental problems existed in design and operation of energy systems in an integrated manner. This methodological framework is generic, and it can help to produce optimal design and operational plans for energy systems ranging from nanoscale, microscale, mesoscale, to mega-scale levels over operating horizons from milliseconds to months and years. This Article first gives a brief overview of typical methodologies of energy systems engineering, comprising superstructure based modeling, mixed-integer linear and nonlinear programming, multiobjective optimization, optimization under uncertainty, and life-cycle assessment. The concept of energy systems engineering and these methodologies are further illustrated via their applications in some typical real-life energy systems of very different nature and scale, ranging from polygeneration energy systems, hydrogen infrastructure planning, energy systems in commercial buildings, and biofuel supply chains. DEWEY : 660 ISSN : 0888-5885 En ligne : http://pubs.acs.org/doi/abs/10.1021/ie101383h [article] Advances in energy systems engineering [texte imprimé] / Pei Liu, Auteur ; Georgiadis, Michael C., Auteur ; Efstratios N. Pistikopoulos, Auteur . - 2011 . - pp. 4915–4926. Chimie industrielle Langues : Anglais (eng) in Industrial & engineering chemistry research > Vol. 50 N° 9 (Mai 2011) . - pp. 4915–4926 Mots-clés : Energy  systems Résumé : Huge and ever-increasing energy consumption and consequent greenhouse gas (GHG) emissions pose unprecedented challenges to the sustainable development of the international human society. Our existing energy systems, where primary energy is converted to all sorts of final energy services, remain the major contributor to these global energy and environmental challenges. It is becoming a consensus that the conventional energy conversion and utilization mode should make place for a more sustainable one with higher energy conversion efficiency, lower air pollutions and GHG emissions, less dependence on fossil fuels, and more utilization of renewable energy. However, although there exist many technical options and technology pathways to enable this transition, they are usually treated separately by their very own technical communities and political groups without coordination with others, and the overall effect and potential is therefore greatly constrained as compared to a systematic approach where all alternatives are taken into consideration in an integrated way. Energy systems engineering provides a methodological modeling and optimization framework to address the complex energy and environmental problems existed in design and operation of energy systems in an integrated manner. This methodological framework is generic, and it can help to produce optimal design and operational plans for energy systems ranging from nanoscale, microscale, mesoscale, to mega-scale levels over operating horizons from milliseconds to months and years. This Article first gives a brief overview of typical methodologies of energy systems engineering, comprising superstructure based modeling, mixed-integer linear and nonlinear programming, multiobjective optimization, optimization under uncertainty, and life-cycle assessment. The concept of energy systems engineering and these methodologies are further illustrated via their applications in some typical real-life energy systems of very different nature and scale, ranging from polygeneration energy systems, hydrogen infrastructure planning, energy systems in commercial buildings, and biofuel supply chains. DEWEY : 660 ISSN : 0888-5885 En ligne : http://pubs.acs.org/doi/abs/10.1021/ie101383h

Optimal production scheduling and lot-sizing in dairy plants / Kopanos, Georgios M. in Industrial & engineering chemistry research, Vol. 49 N° 2 (Janvier 2010) 

Public ISBD [article]  in Industrial & engineering chemistry research > Vol. 49 N° 2 (Janvier 2010) . - pp 701–718 Titre : Optimal production scheduling and lot-sizing in dairy plants : the yogurt production line Type de document : texte imprimé Auteurs : Kopanos, Georgios M., Auteur ; Puigjaner, Luis, Auteur ; Georgiadis, Michael C., Auteur Année de publication : 2010 Article en page(s) : pp 701–718 Note générale : Chimie industrielle Langues : Anglais (eng) Mots-clés : Yogurt  production  Pasteurization  Homogenization. Résumé : The lot-sizing and production scheduling problem in a multiproduct yogurt production line of a real-life dairy plant is addressed in this work. A new mixed discrete/continuous-time mixed-integer linear programming model, based on the definition of families of products, is proposed. The problem under question is mainly focused on the packaging stage, whereas timing and capacity constraints are imposed with respect to the pasteurization/homogenization and fermentation stage. Packaging units operate in parallel and share common resources. Sequence-dependent times and costs are explicitly taken into account and optimized by the proposed framework. Several scenarios for a large-scale dairy plant have been solved to optimality using the proposed model. Production bottlenecks are revealed, and several retrofit design options are proposed to enhance the production capacity and flexibility of the plant. DEWEY : 660 ISSN : 0888-5885 En ligne : http://pubs.acs.org/doi/abs/10.1021/ie901013k [article] Optimal production scheduling and lot-sizing in dairy plants : the yogurt production line [texte imprimé] / Kopanos, Georgios M., Auteur ; Puigjaner, Luis, Auteur ; Georgiadis, Michael C., Auteur . - 2010 . - pp 701–718. Chimie industrielle Langues : Anglais (eng) in Industrial & engineering chemistry research > Vol. 49 N° 2 (Janvier 2010) . - pp 701–718 Mots-clés : Yogurt  production  Pasteurization  Homogenization. Résumé : The lot-sizing and production scheduling problem in a multiproduct yogurt production line of a real-life dairy plant is addressed in this work. A new mixed discrete/continuous-time mixed-integer linear programming model, based on the definition of families of products, is proposed. The problem under question is mainly focused on the packaging stage, whereas timing and capacity constraints are imposed with respect to the pasteurization/homogenization and fermentation stage. Packaging units operate in parallel and share common resources. Sequence-dependent times and costs are explicitly taken into account and optimized by the proposed framework. Several scenarios for a large-scale dairy plant have been solved to optimality using the proposed model. Production bottlenecks are revealed, and several retrofit design options are proposed to enhance the production capacity and flexibility of the plant. DEWEY : 660 ISSN : 0888-5885 En ligne : http://pubs.acs.org/doi/abs/10.1021/ie901013k

Optimization of multibed pressure swing adsorption processes / Dragan Nikolic in Industrial & engineering chemistry research, Vol. 48 N° 11 (Juin 2009) 

Public ISBD [article]  in Industrial & engineering chemistry research > Vol. 48 N° 11 (Juin 2009) . - pp. 5388–5398 Titre : Optimization of multibed pressure swing adsorption processes Type de document : texte imprimé Auteurs : Dragan Nikolic, Auteur ; Eustathios S. Kikkinides, Auteur ; Georgiadis, Michael C., Auteur Année de publication : 2009 Article en page(s) : pp. 5388–5398 Note générale : Chemical engineering Langues : Anglais (eng) Mots-clés : Pressure  swing  adsorption  Multibed  configurations  Multilayered  adsorbents Résumé : This work presents an optimization framework for complex pressure swing adsorption (PSA) processes including multibed configurations and multilayered adsorbents. The number of beds, PSA cycle configuration, and various operating and design parameters have been systematically optimized using recent advances on process optimization. The Unibed principle has been adopted relying on the simulation over times of only one bed while storage buffers have been used to model bed interactions. A novel state transition network (STN) representation is employed for the efficient simulation and optimization of the processes. Two large-scale multicomponent separation processes have been used to illustrate the applicability and potential of the proposed approach in terms of improvement of product purity and recovery. Results indicate that significant improvements can be achieved over base case designs. En ligne : http://pubs.acs.org/doi/abs/10.1021/ie801357a [article] Optimization of multibed pressure swing adsorption processes [texte imprimé] / Dragan Nikolic, Auteur ; Eustathios S. Kikkinides, Auteur ; Georgiadis, Michael C., Auteur . - 2009 . - pp. 5388–5398. Chemical engineering Langues : Anglais (eng) in Industrial & engineering chemistry research > Vol. 48 N° 11 (Juin 2009) . - pp. 5388–5398 Mots-clés : Pressure  swing  adsorption  Multibed  configurations  Multilayered  adsorbents Résumé : This work presents an optimization framework for complex pressure swing adsorption (PSA) processes including multibed configurations and multilayered adsorbents. The number of beds, PSA cycle configuration, and various operating and design parameters have been systematically optimized using recent advances on process optimization. The Unibed principle has been adopted relying on the simulation over times of only one bed while storage buffers have been used to model bed interactions. A novel state transition network (STN) representation is employed for the efficient simulation and optimization of the processes. Two large-scale multicomponent separation processes have been used to illustrate the applicability and potential of the proposed approach in terms of improvement of product purity and recovery. Results indicate that significant improvements can be achieved over base case designs. En ligne : http://pubs.acs.org/doi/abs/10.1021/ie801357a