CC BY-NC-ND 4.0Thiele, GregorGregorThieleHeimann, OliverOliverHeimannGrabowski, KnutKnutGrabowskiKüger, JörgJörgKüger2022-03-064.3.20212019https://publica.fraunhofer.de/handle/publica/26639810.1016/j.promfg.2019.04.05110.24406/publica-r-266398In the context of sustainable manufacturing, the energy efficient operation of industrial systems is of major interest. This paper presents a modular framework for practical research about energy efficiency optimization of complex technical systems. Whereas many approaches focus on stand-alone machines or processes, this approach is concerned with energy-related coupling of several entities. Using a method for energy-related key performance indicators, the overall efficiency is deduced from all subsystems. A given topology is modeled in an XML-based format, inspired by AutomationML. The framework gives the opportunity to analyze and compare optimization algorithms. First experiments with two optimization algorithms were applied to a simulated cooling system.en658670journal article