Optimal multi-scale capacity planning for power-intensive continuous processes under time-sensitive electricity prices and demand uncertainty. Part I: Modeling
Identifieur interne : 005153 ( Main/Exploration ); précédent : 005152; suivant : 005154Optimal 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.
Descripteurs français
- Pascal (Inist)
- ., Algorithme parallèle, Capacité production, Echelle grande, Economies d'énergie, En continu, Etude cas, Fonction pénalité, Gestion production, Investissement, Modélisation, Multiplicateur Lagrange, Méthode partition, Méthode échelle multiple, Offre et demande, Planification optimale, Méthode échelle multiple, Capacité production, Gestion production, Prix vente, Problème mixte, Programmation linéaire, Programmation partiellement en nombres entiers, Programmation stochastique, Réseau électrique, En continu, Réseau électrique intelligent, Système incertain, 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 : Investissement, 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, Investment, Lagrange multiplier, Large scale, Linear programming, Market survey, Mixed integer programming, Mixed problem, Modeling, Multiscale method, Optimal planning, Optimization, Parallel algorithm, Partition method, Penalty function, 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.
Affiliations:
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Part I: Modeling</title><author><name sortKey="Mitra, Sumit" sort="Mitra, Sumit" uniqKey="Mitra S" first="Sumit" last="Mitra">Sumit Mitra</name><affiliation wicri:level="4"><inist:fA14 i1="01"><s1>Center for Advanced Process Decision-making, Department of Chemical Engineering, Carnegie Mellon University</s1><s2>Pittsburgh, PA 15213</s2><s3>USA</s3><sZ>1 aut.</sZ><sZ>3 aut.</sZ></inist:fA14><country>États-Unis</country><placeName><settlement type="city">Pittsburgh</settlement><region type="state">Pennsylvanie</region></placeName><orgName type="university">Université Carnegie-Mellon</orgName></affiliation></author><author><name sortKey="Pinto, Jose M" sort="Pinto, Jose M" uniqKey="Pinto J" first="Jose M." last="Pinto">Jose M. Pinto</name><affiliation wicri:level="1"><inist:fA14 i1="02"><s1>Praxair Inc.</s1><s2>Danbury, CT 06810</s2><s3>USA</s3><sZ>2 aut.</sZ></inist:fA14><country>États-Unis</country><wicri:noRegion>Praxair Inc.</wicri:noRegion></affiliation></author><author><name sortKey="Grossmann, Ignacio E" sort="Grossmann, Ignacio E" uniqKey="Grossmann I" first="Ignacio E." last="Grossmann">Ignacio E. Grossmann</name><affiliation wicri:level="4"><inist:fA14 i1="01"><s1>Center for Advanced Process Decision-making, Department of Chemical Engineering, Carnegie Mellon University</s1><s2>Pittsburgh, PA 15213</s2><s3>USA</s3><sZ>1 aut.</sZ><sZ>3 aut.</sZ></inist:fA14><country>États-Unis</country><placeName><settlement type="city">Pittsburgh</settlement><region type="state">Pennsylvanie</region></placeName><orgName type="university">Université Carnegie-Mellon</orgName></affiliation></author></analytic><series><title level="j" type="main">Computers & chemical engineering</title><title level="j" type="abbreviated">Comput. chem. eng.</title><idno type="ISSN">0098-1354</idno><imprint><date when="2014">2014</date></imprint></series></biblStruct></sourceDesc><seriesStmt><title level="j" type="main">Computers & chemical engineering</title><title level="j" type="abbreviated">Comput. chem. eng.</title><idno type="ISSN">0098-1354</idno></seriesStmt></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Capital</term><term>Case study</term><term>Continuous process</term><term>Continuous time</term><term>Decision making</term><term>Deterministic model</term><term>Electrical network</term><term>Energy savings</term><term>Expenditure</term><term>Growth rate</term><term>Investment</term><term>Lagrange multiplier</term><term>Large scale</term><term>Linear programming</term><term>Market survey</term><term>Mixed integer programming</term><term>Mixed problem</term><term>Modeling</term><term>Multiscale method</term><term>Optimal planning</term><term>Optimization</term><term>Parallel algorithm</term><term>Partition method</term><term>Penalty function</term><term>Probabilistic approach</term><term>Production capacity</term><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></keywords><keywords scheme="Pascal" xml:lang="fr"><term>.</term><term>Algorithme parallèle</term><term>Capacité production</term><term>Echelle grande</term><term>Economies d'énergie</term><term>En continu</term><term>Etude cas</term><term>Fonction pénalité</term><term>Gestion production</term><term>Investissement</term><term>Modélisation</term><term>Multiplicateur Lagrange</term><term>Méthode partition</term><term>Méthode échelle multiple</term><term>Offre et demande</term><term>Planification optimale</term><term>Méthode échelle multiple</term><term>Capacité production</term><term>Gestion production</term><term>Prix vente</term><term>Problème mixte</term><term>Programmation linéaire</term><term>Programmation partiellement en nombres entiers</term><term>Programmation stochastique</term><term>Réseau électrique</term><term>En continu</term><term>Réseau électrique intelligent</term><term>Système incertain</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></keywords><keywords scheme="Wicri" type="topic" xml:lang="fr"><term>Investissement</term><term>Offre et demande</term><term>Prise de décision</term><term>Dépense</term></keywords></textClass></profileDesc></teiHeader><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></front></TEI><affiliations><list><country><li>États-Unis</li></country><region><li>Pennsylvanie</li></region><settlement><li>Pittsburgh</li></settlement><orgName><li>Université Carnegie-Mellon</li></orgName></list><tree><country name="États-Unis"><region name="Pennsylvanie"><name sortKey="Mitra, Sumit" sort="Mitra, Sumit" uniqKey="Mitra S" first="Sumit" last="Mitra">Sumit Mitra</name></region><name sortKey="Grossmann, Ignacio E" sort="Grossmann, Ignacio E" uniqKey="Grossmann I" first="Ignacio E." last="Grossmann">Ignacio E. Grossmann</name><name sortKey="Pinto, Jose M" sort="Pinto, Jose M" uniqKey="Pinto J" first="Jose M." last="Pinto">Jose M. Pinto</name></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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