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Optimization in the Energy Industry (Energy Systems)

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Optimization in the Energy Industry (Energy Systems) Cover

 

Synopses & Reviews

Publisher Comments:

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.

Synopsis:

This book offers a broad, in-depth overview that reflects the requirements, possibilities and limits of mathematical optimization and, especially, stochastic optimization in the energy industry.

Table of Contents

Part I 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 Enterprizes.- Part II 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.- Part III Stochastic Programming - Methods and Applications.- Scenario Tree Approximation and Risk Aversion Strategies for Stochastic Optimization of Electricity Production and Tradin.- 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 Analyse the Large-Scale Integration of Wind Energy.- Part IV 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.

Product Details

ISBN:
9783540889649
Author:
Kallrath, Josef
Publisher:
Springer
Editor:
Pardalos, Panos M.
Editor:
Rebennack, Steffen
Author:
Pardalos, Panos M.
Author:
Rebennack, Steffen
Author:
Scheidt, Max
Location:
Berlin, Heidelberg
Subject:
Linear Programming
Subject:
Power Resources - General
Subject:
Operations Research
Subject:
Applied
Subject:
Industries - Energy Industries
Subject:
Science Reference-Technology
Subject:
Calculus
Subject:
Energy
Subject:
Mathematical optimization
Subject:
Stochastic optimization
Subject:
Calculus of Variations and Optimal Control; Optimization
Subject:
Energy systems
Subject:
Operations Research/Decision Theory
Subject:
Energy Technology
Subject:
Operation Research/Decision Theory
Subject:
Mathematics
Subject:
Language, literature and biography
Subject:
Engineering
Subject:
Electric engineering
Copyright:
Edition Description:
Book
Series:
Energy Systems
Publication Date:
20090231
Binding:
HARDCOVER
Language:
English
Illustrations:
Y
Pages:
553
Dimensions:
235 x 155 mm 988 gr

Related Subjects

Business » General
Reference » Science Reference » Technology
Science and Mathematics » Mathematics » Applied
Science and Mathematics » Mathematics » Calculus » General
Science and Mathematics » Mathematics » General

Optimization in the Energy Industry (Energy Systems) New Hardcover
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$219.75 In Stock
Product details 553 pages Springer - English 9783540889649 Reviews:
"Synopsis" by , This book offers a broad, in-depth overview that reflects the requirements, possibilities and limits of mathematical optimization and, especially, stochastic optimization in the energy industry.
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