Decomposition of Industrial Systems for Energy Efficiency Optimization with OptTopo

TL;DR

This paper introduces OptTopo, a graph-based optimization method for decomposing complex industrial systems to improve energy efficiency by modeling components according to their physical topology.

Contribution

It presents a novel decomposition approach using graph traversal and energy performance indicators for optimizing energy use in industrial plants.

Findings

Efficient set-point determination for complex systems

Graph-based decomposition improves optimization scalability

Energy performance indicators guide optimization process

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.