Thiele, GregorGregorThieleJohanni, TheresaTheresaJohanniSommer, DavidDavidSommerEigel, MartinMartinEigelKrüger, JörgJörgKrüger2022-09-272022-09-272022https://publica.fraunhofer.de/handle/publica/42705810.1109/CoDIT55151.2022.98039852-s2.0-85133853955The manufacturing sector has witnessed a rapid rise in the importance of energy-efficient operation. For finding optimal set-points for industrial facilities, optimization problems of increasing complexity occur. Key challenges are the leak of derivative information and the curse of dimensionality. For systematic reduction of the search-space by decomposition of the model, a methodology for the inclusion of topology knowledge in the optimization procedure is developed. An implementation of OptTopo (Optimization based on Topology), embedded in a testbed, demonstrates its advantages compared to popular out-of-the-box-optimization. OptTopo could be integrated in energy management software offering advanced set-point control for complex facilities.enconference paper