Optimization in the Energy Industry

  • Josef Kallrath
  • Panos M. Pardalos
  • Steffen Rebennack
  • Max Scheidt

Part of the Energy Systems book series (ENERGY)

Table of contents

  1. Front Matter
    Pages i-xx
  2. Challenges and Perspectives of Optimization in the Energy Industry

    1. Front Matter
      Pages 3-3
    2. Torben Franch, Max Scheidt, Günter Stock
      Pages 5-17
  3. Deterministic Methods

    1. Front Matter
      Pages 27-27
    2. Pavel A. Borisovsky, Anton V. Eremeev, Egor B. Grinkevich, Sergey A. Klokov, c V. Vinnikov
      Pages 29-57
    3. Andrew Kusiak, Zhe Song
      Pages 131-148
    4. Vitaliy A. Yatsenko, Panos M. Pardalos, Steffen Rebennack
      Pages 149-165
    5. Pei Liu, Efstratios N. Pistikopoulos
      Pages 167-191
    6. Maurizio Bruglieri, Leo Liberti
      Pages 221-232
    7. Takwai E. Lai, Abhay K. Koppar, Pratap C. Pullammanappallil, William P. Clarke
      Pages 233-275
    8. Trisha Woolley, Anna Nagurney, John Stranlund
      Pages 277-296
    9. Hsiao-Dong Chiang, Bin Wang, Quan-Yuan Jiang
      Pages 297-318
  4. Stochastic Programming: Methods and Applications

    1. Front Matter
      Pages 319-319
    2. Alexa Epe, Christian Küchler, Werner Römisch, Stefan Vigerske, Hermann-Josef Wagner, Christoph Weber et al.
      Pages 347-364
    3. Nina Heitmann, Thomas Hamacher
      Pages 365-385

About this book

Introduction

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.

Keywords

Electric Power Electricity Markets Energy Mathematical Optimization Stochastic Optimization linear optimization nonlinear optimization optimization scheduling

Editors and affiliations

  • Josef Kallrath
    • 1
  • Panos M. Pardalos
    • 2
  • Steffen Rebennack
    • 2
  • Max Scheidt
    • 3
  1. 1.Am Mahlstein 8WeisenheimGermany
  2. 2.Department of Industrial & Systems EngineeringUniversity of FloridaGainesvilleUSA
  3. 3.ProCom GmbHAachenGermany

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-540-88965-6
  • Copyright Information Springer-Verlag Berlin Heidelberg 2009
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Engineering
  • Print ISBN 978-3-540-88964-9
  • Online ISBN 978-3-540-88965-6
  • Series Print ISSN 1867-8998
  • Series Online ISSN 1867-9005
  • About this book