PittsburghV1, Main, Exploration, bibRecord, 005216

Multi-period synthesis of optimally integrated biomass and bioenergy supply network

Identifieur interne : 005216 ( Main/Exploration ); précédent : 005215; suivant : 005217

Multi-period synthesis of optimally integrated biomass and bioenergy supply network

Auteurs : Lidija Cucek [Slovénie] ; Mariano Martin [Espagne] ; Ignacio E. Grossmann [États-Unis] ; Zdravko Kravanja [Slovénie]

Source :

Computers & chemical engineering [ 0098-1354 ] ; 2014.

RBID : Pascal:14-0166125

Descripteurs français

Pascal (Inist)
- Périodique, Biocarburant, Logistique, Processus fabrication, Biodiesel, Essence auto, Gestion ressources, Industrie alimentaire, Flot optimal, Disponibilité, Recyclage, Prise de décision, Système aide décision, Bioraffinerie, Biomasse, Ethanol, Catalyseur Fischer Tropsch, Moteur diesel, Développement durable, Combustible, Sciences économiques, Programmation partiellement en nombres entiers, Modélisation, Variation saisonnière, Intégration site, Optimisation, Efficacité, Emission gaz, Hydrogène, ..
Wicri :
- topic : Industrie alimentaire, Prise de décision, Biomasse, Moteur diesel, Développement durable, Combustible, Hydrogène.

English descriptors

KwdEn :
- Availability, Biodiesel, Biofuel, Biomass, Biorefinery, Decision making, Decision support system, Diesel engine, Economic sciences, Efficiency, Ethanol, Fischer Tropsch catalyst, Food industry, Fuel, Gas emission, Hydrogen, Logistics, Mixed integer programming, Modeling, Motor gasoline, Optimal flow, Optimization, Periodical, Production process, Recycling, Resource management, Seasonal variation, Site integration, Sustainable development.

Abstract

This contribution addresses the multi-period synthesis of an optimally integrated regional biomass and bioenergy supply network through a mixed-integer linear programing (MILP) approach. The production processes from different sources of biomass include first, second, and third generations of biofuels like bioethanol, biodiesel, hydrogen, Fischer Tropsch diesel, and green gasoline. The aim is to maximize the sustainably viable utilization of resources by accounting for the competition between fuels and food production. An MILP model for efficient bioenergy network optimization based on four layers is extended to include several features, such as seasonality and availability of resources, enabling recycles of products and total site heat integration in order to address real-world applications with a systematic decision-making approach. The multi-period optimization of a heat-integrated biorefinery's supply network is performed through maximization of the economic performance. Economically efficient solutions are obtained with optimal selection of raw materials, technologies, intermediate and final product flows, and reduced greenhouse-gas emissions.

Affiliations:

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Le document en format XML

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<term>Biorefinery</term>
<term>Decision making</term>
<term>Decision support system</term>
<term>Diesel engine</term>
<term>Economic sciences</term>
<term>Efficiency</term>
<term>Ethanol</term>
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<term>Seasonal variation</term>
<term>Site integration</term>
<term>Sustainable development</term>
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<term>Essence auto</term>
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<term>Prise de décision</term>
<term>Système aide décision</term>
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<term>Catalyseur Fischer Tropsch</term>
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<term>Développement durable</term>
<term>Combustible</term>
<term>Sciences économiques</term>
<term>Programmation partiellement en nombres entiers</term>
<term>Modélisation</term>
<term>Variation saisonnière</term>
<term>Intégration site</term>
<term>Optimisation</term>
<term>Efficacité</term>
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<front><div type="abstract" xml:lang="en">This contribution addresses the multi-period synthesis of an optimally integrated regional biomass and bioenergy supply network through a mixed-integer linear programing (MILP) approach. The production processes from different sources of biomass include first, second, and third generations of biofuels like bioethanol, biodiesel, hydrogen, Fischer Tropsch diesel, and green gasoline. The aim is to maximize the sustainably viable utilization of resources by accounting for the competition between fuels and food production. An MILP model for efficient bioenergy network optimization based on four layers is extended to include several features, such as seasonality and availability of resources, enabling recycles of products and total site heat integration in order to address real-world applications with a systematic decision-making approach. The multi-period optimization of a heat-integrated biorefinery's supply network is performed through maximization of the economic performance. Economically efficient solutions are obtained with optimal selection of raw materials, technologies, intermediate and final product flows, and reduced greenhouse-gas emissions.</div>
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Multi-period synthesis of optimally integrated biomass and bioenergy supply network

Multi-period synthesis of optimally integrated biomass and bioenergy supply network

Source :

Descripteurs français

English descriptors

Abstract

Links toward previous steps (curation, corpus...)

Le document en format XML

Pour manipuler ce document sous Unix (Dilib)

Pour mettre un lien sur cette page dans le réseau Wicri