Optimization in the Energy Industry

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.

Prof. Dr. Josef Kallrath ist in der Praxis und Lehre tätig und löst mit Wissenschaftlichem Rechnen praktische Probleme in der Industrie. Schwerpunkt seiner Tätigkeit ist die Mathematische Optimierung zur Unterstützung von Entscheidungsprozessen und die Modellierung physikalischer Systeme. Lehrtätigkeiten übte er an der Universität Heidelberg und derzeitig an der University of Florida in Gainesville/USA aus. Seit 2002 leitet er die Arbeitsgruppe 'raxis der mathematischen Optimierung' der Gesellschaft für Operations Research (GOR).