| Title |
Framework for energy efficiency optimization of industrial systems based on the Control Layer Model |
| 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 |
|
| DOI |
10.1016/j.promfg.2019.04.051 |
| 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. |
| Author Keywords |
optimization; energy efficiency; supply technology; chiller system; control layer model; system-of-systems; key performance indicator; topology based optimization; EnEffReg; optimizerOne; optimizerZero; model-based control; set-point optimization; similarity based optimization |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Conference Proceedings Citation Index - Science (CPCI-S) |
| EID |
WOS:000560232900052 |
| WoS Category |
Green & Sustainable Science & Technology; Engineering, Manufacturing |
| Research Area |
Science & Technology - Other Topics; Engineering |
| PDF |
https://doi.org/10.1016/j.promfg.2019.04.051
|