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Improving an Industrial Cooling System Using MINLP, Considering Capital and Operating Costs

In: Operations Research Proceedings 2019

Author

Listed:
  • Marvin M. Meck

    (Technische Universität Darmstadt)

  • Tim M. Müller

    (Technische Universität Darmstadt)

  • Lena C. Altherr

    (Münster University of Applied Sciences)

  • Peter F. Pelz

    (Technische Universität Darmstadt)

Abstract

The chemical industry is one of the most important industrial sectors in Germany in terms of manufacturing revenue. While thermodynamic boundary conditions often restrict the scope for reducing the energy consumption of core processes, secondary processes such as cooling offer scope for energy optimisation. In this contribution, we therefore model and optimise an existing cooling system. The technical boundary conditions of the model are provided by the operators, the German chemical company BASF SE. In order to systematically evaluate different degrees of freedom in topology and operation, we formulate and solve a Mixed-Integer Nonlinear Program (MINLP), and compare our optimisation results with the existing system.

Suggested Citation

  • Marvin M. Meck & Tim M. Müller & Lena C. Altherr & Peter F. Pelz, 2020. "Improving an Industrial Cooling System Using MINLP, Considering Capital and Operating Costs," Operations Research Proceedings, in: Janis S. Neufeld & Udo Buscher & Rainer Lasch & Dominik Möst & Jörn Schönberger (ed.), Operations Research Proceedings 2019, pages 505-512, Springer.
    • Handle: RePEc:spr:oprchp:978-3-030-48439-2_61
    DOI: 10.1007/978-3-030-48439-2_61
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