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.
@article{arxiv.2206.14700,
title = {Decomposition of Industrial Systems for Energy Efficiency Optimization with OptTopo},
author = {Gregor Thiele and Theresa Johanni and David Sommer and Jörg Krüger},
journal= {arXiv preprint arXiv:2206.14700},
year = {2022}
}