Decomposition of a Cooling Plant for Energy Efficiency Optimization Using OptTopo

The operation of industrial supply technology is a broad field for optimization. Industrial cooling plants are often (a) composed several components, (b) linked using network technology, (c) physically interconnected, and (d) complex regarding the effect set-points operating points in every entity. This leads to possibility overall An example containing tower, water circulations, chillers entails non-linear optimization problem with five dimensions. decomposition such system allows modeling separate subsystems which can be structured according physical topology. established method energy performance indicators (EnPI) helps formulate an coherent way. novel algorithm OptTopo strives efficient by traversing graph representation system. advantages ability combine models types (e.g., neural networks polynomials) constant runtime independent from number requested because new needs just performed case plant model changes. experimental implementation validated simscape simulation. For batch requests, 61min while solvers Cobyla, SDPEN, COUENNE need 0.3 min, 1.4 3.1 respectively. achieves efficiency improvement similar that solvers. paper demonstrates general feasibility concept fortifies further improvements reduce computing time.