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Energy-Efficient High Temperature Processes via Shape Optimization

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Mathematical Modeling, Simulation and Optimization for Power Engineering and Management

Part of the book series: Mathematics in Industry ((MATHINDUSTRY,volume 34))

Abstract

We consider mathematical models and optimization techniques for a melting furnace in phosphate production. In this high temperature process radiation plays a predominant role. The main design goals are a reduction of the energy consumption as well as the product quality. In particular, we are going to focus on shape optimization techniques for an improved design of the melting furnace, which will rely on a hierarchy of models incorporating the multi-physics of the process.

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Acknowledgements

This project has been supported by the Federal Ministry of Education and Research (BMBF) under grant numbers 05M18UKA and 05M18AMA. The authors are indebted to the other project members for their input and support in finalizing this article. In particular, they thank N. Dietrich, N. Gauger, Th. Marx, E. Özkaya, R. Sanchez (all at TU Kaiserslautern), as well as R. Feßler, N. Siedow (Fraunhofer ITWM, Kaiserslautern) and R. Tänzler (ICL Ladenburg).

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Authors and Affiliations

  1. Fraunhofer ITWM, Kaiserslautern, Germany

    Christian Leithäuser

  2. Department of Mathematics, TU Kaiserslautern, Kaiserslautern, Germany

    René Pinnau

Authors
  1. Christian Leithäuser
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  2. René Pinnau
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Correspondence to René Pinnau .

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Editors and Affiliations

  1. Department of Mathematics, Scientific Computing Research Group, University of Mannheim, Mannheim, Germany

    Simone Göttlich

  2. Department of Mathematics, Group Continuous Optimization, RWTH Aachen University, Aachen, Nordrhein-Westfalen, Germany

    Michael Herty

  3. Computing Centre (URZ), Unit Technology Transfer and Cooperation, Heidelberg University, Heidelberg, Germany

    Anja Milde

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Leithäuser, C., Pinnau, R. (2021). Energy-Efficient High Temperature Processes via Shape Optimization. In: Göttlich, S., Herty, M., Milde, A. (eds) Mathematical Modeling, Simulation and Optimization for Power Engineering and Management. Mathematics in Industry, vol 34. Springer, Cham. https://doi.org/10.1007/978-3-030-62732-4_6

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