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Decomposition of Industrial Systems for Energy Efficiency Optimization with OptTopo

Authors :
Thiele, Gregor
Johanni, Theresa
Sommer, David
Krüger, Jörg
Publication Year :
2022

Abstract

The operation of industrial facilities is a broad field for optimization. Industrial plants are often a) composed of several components, b) linked using network technology, c) physically interconnected and d) complex regarding the effect of set-points and operating points in every entity. This leads to the possibility of overall optimization but also to a high complexity of the emerging optimization problems. The decomposition of complex systems allows the modeling of individual models which can be structured according to the physical topology. A method for energy performance indicators (EnPI) helps to formulate an optimization problem. The optimization algorithm OptTopo achieves efficient set-points by traversing a graph representation of the overall system.

Details

Database :
arXiv
Publication Type :
Report
Accession number :
edsarx.2206.14700
Document Type :
Working Paper