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Optimization in the Energy Industry

  • Book
  • © 2009

Overview

  • Provides a broad introduction into the field of energy production and trading by discussion about 20 real world cases
  • Besides the overview the reader learns about mathematical optimization methods used to solve these problems
  • Includes supplementary material: sn.pub/extras

Part of the book series: Energy Systems (ENERGY)

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Table of contents (22 chapters)

  1. Challenges and Perspectives of Optimization in the Energy Industry

  2. Deterministic Methods

  3. Stochastic Programming: Methods and Applications

Keywords

About this book

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.

Editors and Affiliations

  • Am Mahlstein 8, Weisenheim, Germany

    Josef Kallrath

  • Department of Industrial & Systems Engineering, University of Florida, Gainesville, USA

    Panos M. Pardalos, Steffen Rebennack

  • ProCom GmbH, Aachen, Germany

    Max Scheidt

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