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.
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Acknowledgements
Results were obtained in project No. 17482 N/1, funded by the German Federal Ministry of Economic Affairs and Energy (BMWi) approved by the Arbeitsgemeinschaft industrieller Forschungsvereinigungen “Otto von Guericke” e.V. (AiF). Moreover, this research was partially funded by Deutsche Forschungsgemeinschaft (DFG) under project No. 57157498.
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Meck, M.M., Müller, T.M., Altherr, L.C., Pelz, P.F. (2020). Improving an Industrial Cooling System Using MINLP, Considering Capital and Operating Costs. In: Neufeld, J.S., Buscher, U., Lasch, R., Möst, D., Schönberger, J. (eds) Operations Research Proceedings 2019. Operations Research Proceedings. Springer, Cham. https://doi.org/10.1007/978-3-030-48439-2_61
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DOI: https://doi.org/10.1007/978-3-030-48439-2_61
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