PittsburghV1, Main, Merge, bibRecord, 005427

Optimal multi-scale capacity planning for power-intensive continuous processes under time-sensitive electricity prices and demand uncertainty. Part I: Modeling

Identifieur interne : 005427 ( Main/Merge ); précédent : 005426; suivant : 005428

Optimal multi-scale capacity planning for power-intensive continuous processes under time-sensitive electricity prices and demand uncertainty. Part I: Modeling

Auteurs : Sumit Mitra [États-Unis] ; Jose M. Pinto [États-Unis] ; Ignacio E. Grossmann [États-Unis]

Source :

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

RBID : Pascal:14-0165504

Descripteurs français

Pascal (Inist)
- Planification optimale, Méthode échelle multiple, Capacité production, Gestion production, Réseau électrique, En continu, Temps continu, Offre et demande, Prix vente, Système incertain, Economies d'énergie, Programmation partiellement en nombres entiers, Prise de décision, Capital, Dépense, Modèle déterministe, Modèle stochastique, Modélisation, Système structure variable, Taux croissance, Optimisation, Etude cas, Approche probabiliste, Loi échelle, Modèle réduit, Echelle grande, Programmation stochastique, Etude marché, ., Réseau électrique intelligent.
Wicri :
- topic : Offre et demande, Prise de décision, Dépense.

English descriptors

KwdEn :
- Capital, Case study, Continuous process, Continuous time, Decision making, Deterministic model, Electrical network, Energy savings, Expenditure, Growth rate, Large scale, Market survey, Mixed integer programming, Modeling, Multiscale method, Optimal planning, Optimization, Probabilistic approach, Production capacity, Production management, Scale model, Scaling law, Selling price, Smart grid, Stochastic model, Stochastic programming, Supply demand balance, Uncertain system, Variable structure system.

Abstract

Time-sensitive electricity prices (as part of so-called demand-side management in the smart grid) offer economical incentives for large industrial customers. In part I of this paper, we propose an MILP formulation that integrates the operational and strategic decision-making for continuous power-intensive processes under time-sensitive electricity prices. We demonstrate the trade-off between capital and operating expenditures with an industrial case study for an air separation plant. Furthermore, we compare the insights obtained from a model that assumes deterministic demand with those obtained from a stochastic demand model. The value of the stochastic solution (VSS) is discussed, which can be significant in cases with an unclear setup, such as medium baseline product demand and growth rate, large variance or skewed demand distributions. While the resulting optimization models are large-scale, they can be solved within three days of computational time. A decomposition algorithm for speeding-up the solution time is described in part II.

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Le document en format XML

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<profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Capital</term>
<term>Case study</term>
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<term>Decision making</term>
<term>Deterministic model</term>
<term>Electrical network</term>
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<term>Probabilistic approach</term>
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<term>Production management</term>
<term>Scale model</term>
<term>Scaling law</term>
<term>Selling price</term>
<term>Smart grid</term>
<term>Stochastic model</term>
<term>Stochastic programming</term>
<term>Supply demand balance</term>
<term>Uncertain system</term>
<term>Variable structure system</term>
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<keywords scheme="Pascal" xml:lang="fr"><term>Planification optimale</term>
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<term>Gestion production</term>
<term>Réseau électrique</term>
<term>En continu</term>
<term>Temps continu</term>
<term>Offre et demande</term>
<term>Prix vente</term>
<term>Système incertain</term>
<term>Economies d'énergie</term>
<term>Programmation partiellement en nombres entiers</term>
<term>Prise de décision</term>
<term>Capital</term>
<term>Dépense</term>
<term>Modèle déterministe</term>
<term>Modèle stochastique</term>
<term>Modélisation</term>
<term>Système structure variable</term>
<term>Taux croissance</term>
<term>Optimisation</term>
<term>Etude cas</term>
<term>Approche probabiliste</term>
<term>Loi échelle</term>
<term>Modèle réduit</term>
<term>Echelle grande</term>
<term>Programmation stochastique</term>
<term>Etude marché</term>
<term>.</term>
<term>Réseau électrique intelligent</term>
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<keywords scheme="Wicri" type="topic" xml:lang="fr"><term>Offre et demande</term>
<term>Prise de décision</term>
<term>Dépense</term>
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<front><div type="abstract" xml:lang="en">Time-sensitive electricity prices (as part of so-called demand-side management in the smart grid) offer economical incentives for large industrial customers. In part I of this paper, we propose an MILP formulation that integrates the operational and strategic decision-making for continuous power-intensive processes under time-sensitive electricity prices. We demonstrate the trade-off between capital and operating expenditures with an industrial case study for an air separation plant. Furthermore, we compare the insights obtained from a model that assumes deterministic demand with those obtained from a stochastic demand model. The value of the stochastic solution (VSS) is discussed, which can be significant in cases with an unclear setup, such as medium baseline product demand and growth rate, large variance or skewed demand distributions. While the resulting optimization models are large-scale, they can be solved within three days of computational time. A decomposition algorithm for speeding-up the solution time is described in part II.</div>
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Optimal multi-scale capacity planning for power-intensive continuous processes under time-sensitive electricity prices and demand uncertainty. Part I: Modeling

Optimal multi-scale capacity planning for power-intensive continuous processes under time-sensitive electricity prices and demand uncertainty. Part I: Modeling

Source :

Descripteurs français

English descriptors

Abstract

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

Links to Exploration step

Le document en format XML

Pour manipuler ce document sous Unix (Dilib)

Pour mettre un lien sur cette page dans le réseau Wicri