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...

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Bibliographic Details
Other Authors: Kallrath, Josef (Editor), Pardalos, Panos M. (Editor), Rebennack, Steffen (Editor), Scheidt, Max (Editor)
Format: eBook
Language:English
Published: Berlin, Heidelberg Springer Berlin Heidelberg 2009, 2009
Edition:1st ed. 2009
Series:Energy Systems
Subjects:
Online Access:
Collection: Springer eBooks 2005- - Collection details see MPG.ReNa
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245 0 0 |a Optimization in the Energy Industry  |h Elektronische Ressource  |c edited by Josef Kallrath, Panos M. Pardalos, Steffen Rebennack, Max Scheidt 
250 |a 1st ed. 2009 
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300 |a XX, 534 p  |b online resource 
505 0 |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 
653 |a Mechanical Power Engineering 
653 |a Electric power production 
653 |a Operations research 
653 |a Calculus of Variations and Optimization 
653 |a Electrical Power Engineering 
653 |a Mathematical optimization 
653 |a Operations Research and Decision Theory 
653 |a Calculus of variations 
700 1 |a Pardalos, Panos M.  |e [editor] 
700 1 |a Rebennack, Steffen  |e [editor] 
700 1 |a Scheidt, Max  |e [editor] 
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989 |b Springer  |a Springer eBooks 2005- 
490 0 |a Energy Systems 
028 5 0 |a 10.1007/978-3-540-88965-6 
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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 mathematicalapproaches