Optimization in the Energy Industry

Author:   Josef Kallrath ,  Panos M. Pardalos ,  Steffen Rebennack ,  Max Scheidt
Publisher:   Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Edition:   2009 ed.
ISBN:  

9783540889649


Pages:   534
Publication Date:   17 January 2009
Format:   Hardback
Availability:   In Print   Availability explained
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Optimization in the Energy Industry


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Overview

Today, the optimization of production planning processes by means of IT and quantitative methods is a de-facto standard in the energy industry. Franch et al. inChapter1andIkenouyeinChapter2giveanintroduction,overview,and reasonsforthis. Furthermore,theenergyproblemnowisnotonlyachallenging one but also one of the most important issues in the world from the political and economical points of view. In every country, the government is faced with the problem of how to adopt the system of 'Cap and Trade. ' Especially energy consuming industries, such as steel, power, oil and chemicals, are seriously confronted with this problem. VIII Preface This is also the reason why the German Operations Research Society (GOR) and one of its working groups, held a symposium with the title ""Stochastic Optimization in the Energy Industry. "" During the 78th meeting of the GOR working group ""Praxis der Mathematischen Optimierung/Real World Optimization"" in Aachen at Procom GmbH on April 21/22, 2007, the speakers with an application background explained their requirements for stochasticoptimizationsolutionsbasedonpracticalexperiences. Thespeakers from the research side and the software system suppliers examined di?erent aspects of the whole subject - from the integration of wind energy, the chain of errors in nuclear power plants and the scheduling of hydroelectric power stations, and the risk assessment in trading activities to the various software systems which support stochastic optimization methods. The symposium o?ered an interesting overview which re?ected the - quirements, possibilities and restrictions of ""Stochastic Optimization in the Energy Industry.

Full Product Details

Author:   Josef Kallrath ,  Panos M. Pardalos ,  Steffen Rebennack ,  Max Scheidt
Publisher:   Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Imprint:   Springer-Verlag Berlin and Heidelberg GmbH & Co. K
Edition:   2009 ed.
Dimensions:   Width: 15.50cm , Height: 3.00cm , Length: 23.50cm
Weight:   0.992kg
ISBN:  

9783540889649


ISBN 10:   3540889647
Pages:   534
Publication Date:   17 January 2009
Audience:   College/higher education ,  Postgraduate, Research & Scholarly
Format:   Hardback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

Table of Contents

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.

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