Optimization in the energy industry
Today, the optimization of production planning processes using IT and quantitative methods is a de-facto standard in the energy industry. The energy problem is challenging and one of the most important political and economical issues in the world. Governments face the problem how to adopt the system...
Enregistré dans:
| Hovedforfatter: | |
|---|---|
| Andre forfattere: | , , |
| Format: | Livre numérique |
| Sprog: | Anglais |
| Udgivet: |
Berlin, Heidelberg :
Springer Berlin Heidelberg
[20..].
Cham : Springer Nature |
| Udgivelse: | 1st ed. 2009. |
| Serier: | Energy Systems
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| Online adgang: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Kommentar: |
Description d'après consultation du 30 mars 2012 Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Optimization in the Energy Industry, Texte imprimé, 9783540889649 • Optimization in the Energy Industry, Texte imprimé, 9783642100314 • Optimization in the Energy Industry, Texte imprimé, 9783540891659 |
| LEADER | 05214nam a22004457a 4500 | ||
|---|---|---|---|
| 001 | 941216 | ||
| 008 | 090420q2000 xxe ||| |||| 00| 0 eng d | ||
| 009 | PPN132868733 | ||
| 020 | |a 9783540889656 | ||
| 041 | 0 | |a eng | |
| 082 | |a 515.64 | ||
| 084 | |a 90-06. 2010 | ||
| 084 | |a 91-06. 2010 | ||
| 084 | |a 91B76. 2010 | ||
| 100 | 1 | |a Kallrath, Josef. | |
| 245 | 1 | 0 | |a Optimization in the energy industry |c edited by Josef Kallrath, Panos M. Pardalos, Steffen Rebennack, [et al.]. |
| 250 | |a 1st ed. 2009. | ||
| 260 | |a Berlin, Heidelberg : |b Springer Berlin Heidelberg. | ||
| 260 | |a Cham : |b Springer Nature, |c [20..]. | ||
| 490 | 0 | |a Energy Systems |x 1867-9005 | |
| 500 | |a Description d'après consultation du 30 mars 2012 | ||
| 500 | |a Archives Springer e-books (Licence nationale) | ||
| 500 | |a Archives Springer e-books (Licence nationale) | ||
| 504 | |a Bibliogr. Index | ||
| 505 | 1 | |a Challenges and Perspectives of Optimization in the Energy Industry Current and Future Challenges for Production Planning Systems The Earth Warming Problem: Practical Modeling in Industrial Enterprises Deterministic Methods Trading Hubs Construction for Electricity Markets A Decision Support System to Analyze the Influence of Distributed Generation in Energy Distribution Networks New Effective Methods of Mathematical Programming and Their Applications to Energy Problems Improving Combustion Performance by Online Learning Critical States of Nuclear Power Plant Reactors and Bilinear Modeling Mixed-Integer Optimization for Polygeneration Energy Systems Design Optimization of the Design and Partial-Load Operation of Power Plants Using Mixed-Integer Nonlinear Programming Optimally Running a Biomass-Based Energy Production Process Mathematical Modeling of Batch, Single Stage, Leach Bed Anaerobic Digestion of Organic Fraction of Municipal Solid Waste Spatially Differentiated Trade of Permits for Multipollutant Electric Power Supply Chains Applications of TRUST-TECH Methodology in Optimal Power Flow of Power Systems Stochastic Programming: Methods and Applications Scenario Tree Approximation and Risk Aversion Strategies for Stochastic Optimization of Electricity Production and Trading Optimization of Dispersed Energy Supply Stochastic Programming with Recombining Scenario Trees Stochastic Model of the German Electricity System Optimization of Risk Management Problems in Generation and Trading Planning Optimization Methods Application to Optimal Power Flow in Electric Power Systems WILMAR: A Stochastic Programming Tool to Analyze the Large-Scale Integration of Wind Energy Stochastic Programming in Pricing Clean Valuation with Regard to EU Emission Trading Efficient Stochastic Programming Techniques for Electricity Swing Options Delta-Hedging a Hydropower Plant Using Stochastic Programming | |
| 506 | |a Accès en ligne pour les établissements français bénéficiaires des licences nationales | ||
| 506 | |a Accès soumis à abonnement pour tout autre établissement | ||
| 506 | |a Conditions particulières de réutilisation pour les bénéficiaires des licences nationales. https://www.licencesnationales.fr/springer-nature-ebooks-contrat-licence-ln-2017 | ||
| 520 | |a Today, the optimization of production planning processes using IT and quantitative methods is a de-facto standard in the energy industry. The energy problem is challenging and one of the most important political and economical issues in the world. Governments face the problem how to adopt the system of `Cap and Trade.' Especially, energy consuming industries, like steel, power, oil and chemical, are seriously confronted with this problem. The book offers a broad in-depth overview reflecting the requirements, possibilities and limits of mathematical optimization and, especially, stochastic optimization in the energy industry. 22 chapters with world-wide origins illuminate the mathematical requirements based on practical experiences and provide an ideal insight into the energy world -- from integration of wind energy, chain of errors in nuclear power plants and scheduling of hydroelectric power stations, over risk assessment in trading activities to various mathematical approaches | ||
| 700 | 1 | |a Pardalos, Panos M. |4 pbd | |
| 700 | 1 | |a Rebennack, Steffen. |4 pbd | |
| 700 | 1 | |a Scheidt, Max. |4 pbd | |
| 776 | 0 | |t Optimization in the Energy Industry |b Texte imprimé |z 9783540889649 | |
| 776 | 0 | |t Optimization in the Energy Industry |b Texte imprimé |z 9783642100314 | |
| 776 | 0 | |t Optimization in the Energy Industry |b Texte imprimé |z 9783540891659 | |
| 856 | 4 | |q PDF |u https://doi.org/10.1007/978-3-540-88965-6 |z Accès sur la plateforme de l'éditeur | |
| 856 | 4 | |u https://revue-sommaire.istex.fr/ark:/67375/8Q1-LJHZCL7G-P |z Accès sur la plateforme Istex | |
| 856 | 4 | |5 452349901:747849935 |u https://ezproxy.univ-orleans.fr/login?url=https://dx.doi.org/10.1007/978-3-540-88965-6 |z Accès Université d'Orléans | |
| 856 | 4 | |5 180339901:750867477 |u https://ezproxy.insa-cvl.fr/login?qurl=https://dx.doi.org/10.1007/978-3-540-88965-6 |z Accès INSA CVL | |
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