Title | Framework for energy efficiency optimization of industrial systems based on the Control Layer Model |
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ID_Doc | 17504 |
Authors | Thiele, G; Heimann, O; Grabowski, K; Krüger, J |
Title | Framework for energy efficiency optimization of industrial systems based on the Control Layer Model |
Year | 2019 |
Published | |
Abstract | In 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. (C) 2019 The Authors. Published by Elsevier B.V. |
https://doi.org/10.1016/j.promfg.2019.04.051 |
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