• English
  • Deutsch
  • Log In
    Password Login
    Have you forgotten your password?
    Research Outputs
    Fundings & Projects
    Researchers
    Institutes
    Statistics
Repository logo
Fraunhofer-Gesellschaft
  1. Home
  2. Fraunhofer-Gesellschaft
  3. Scopus
  4. OptTopo: Automated set-point optimization for coupled systems using topology information
 
  • Details
  • Full
Options
2022
Conference Paper
Title

OptTopo: Automated set-point optimization for coupled systems using topology information

Abstract
The 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.
Author(s)
Thiele, Gregor
Fraunhofer-Institut für Produktionsanlagen und Konstruktionstechnik IPK  
Johanni, Theresa
Fraunhofer-Institut für Produktionsanlagen und Konstruktionstechnik IPK  
Sommer, David
Weierstrass Institute for Applied Analysis and Stochastics
Eigel, Martin
Weierstrass Institute for Applied Analysis and Stochastics
Krüger, Jörg
Technische Universität Berlin
Mainwork
8th International Conference on Control, Decision and Information Technologies, CoDIT 2022  
Conference
International Conference on Control, Decision and Information Technologies 2022  
DOI
10.1109/CoDIT55151.2022.9803985
Language
English
Fraunhofer-Institut für Produktionsanlagen und Konstruktionstechnik IPK  
  • Cookie settings
  • Imprint
  • Privacy policy
  • Api
  • Contact
© 2024