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

Marvin M. Meck (), Tim M. Müller (), Lena C. Altherr () and Peter F. Pelz ()
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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

A chapter in Operations Research Proceedings 2019, 2020, pp 505-512 from Springer

Abstract: 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.

Keywords: Engineering optimisation; Mixed-integer programming; Industrial optimisation; Cooling system; Process engineering (search for similar items in EconPapers)
Date: 2020
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Persistent link: https://EconPapers.repec.org/RePEc:spr:oprchp:978-3-030-48439-2_61

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DOI: 10.1007/978-3-030-48439-2_61

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