TY  - CHAP
A1  - Meck, Marvin M.
A1  - Müller, Tim M.
A1  - Altherr, Lena
A1  - Pelz, Peter F.
T1  - Improving an industrial cooling system using MINLP, considering capital and operating costs
T2  - Operations Research Proceedings 2019
N2  - 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.
KW  - Engineering optimisation
KW  - Mixed-integer programming
KW  - Industrial optimisation
KW  - Cooling system
KW  - Process engineering
Y1  - 2020
SN  - 978-3-030-48438-5 (Print)
SN  - 978-3-030-48439-2 (Online)
U6  - http://dx.doi.org/10.1007/978-3-030-48439-2_61
N1  - Annual International Conference of the German Operations Research Society (GOR), Dresden, Germany, September 4-6, 2019.
SP  - 505
EP  - 512
PB  - Springer
CY  - Cham
ER  -