Ebook: Optimization in the Energy Industry
- Tags: Calculus of Variations and Optimal Control, Optimization, Energy Systems, Operation Research/Decision Theory, Energy Technology
- Series: Energy Systems
- Year: 2009
- Publisher: Springer-Verlag Berlin Heidelberg
- Edition: 1
- Language: English
- pdf
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.
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.
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.
Content:
Front Matter....Pages i-xx
Front Matter....Pages 3-3
Current and Future Challenges for Production Planning Systems....Pages 5-17
The Earth Warming Problem: Practical Modeling in Industrial Enterprises....Pages 19-25
Front Matter....Pages 27-27
Trading Hubs Construction for Electricity Markets....Pages 29-57
A Decision Support System to Analyze the Influence of Distributed Generation in Energy Distribution Networks....Pages 59-77
New Effective Methods of Mathematical Programming and Their Applications to Energy Problems....Pages 79-130
Improving Combustion Performance by Online Learning....Pages 131-148
Critical States of Nuclear Power Plant Reactors and Bilinear Modeling....Pages 149-165
Mixed-Integer Optimization for Polygeneration Energy Systems Design....Pages 167-191
Optimization of the Design and Partial-Load Operation of Power Plants Using Mixed-Integer Nonlinear Programming....Pages 193-220
Optimally Running a Biomass-Based Energy Production Process....Pages 221-232
Mathematical Modeling of Batch, Single Stage, Leach Bed Anaerobic Digestion of Organic Fraction of Municipal Solid Waste....Pages 233-275
Spatially Differentiated Trade of Permits for Multipollutant Electric Power Supply Chains....Pages 277-296
Applications of TRUST-TECH Methodology in Optimal Power Flow of Power Systems....Pages 297-318
Front Matter....Pages 319-319
Scenario Tree Approximation and Risk Aversion Strategies for Stochastic Optimization of Electricity Production and Trading....Pages 321-346
Optimization of Dispersed Energy Supply —Stochastic Programming with Recombining Scenario Trees....Pages 347-364
Stochastic Model of the German Electricity System....Pages 365-385
Optimization of Risk Management Problems in Generation and Trading Planning....Pages 387-408
Optimization Methods Application to Optimal Power Flow in Electric Power Systems....Pages 409-436
WILMAR: A Stochastic Programming Tool to Analyze the Large-Scale Integration of Wind Energy....Pages 437-458
Front Matter....Pages 459-459
Clean Valuation with Regard to EU Emission Trading....Pages 461-483
Front Matter....Pages 459-459
Efficient Stochastic Programming Techniques for Electricity Swing Options....Pages 485-506
Delta-Hedging a Hydropower Plant Using Stochastic Programming....Pages 507-524
Back Matter....Pages 525-533