Stephan Seidel
Fraunhofer IIS EAS, Dresden, Germany
Christoph Clauß
Fraunhofer IIS EAS, Dresden, Germany
Jürgen Haufe
Fraunhofer IIS EAS, Dresden, Germany
Kristin Majetta
Fraunhofer IIS EAS, Dresden, Germany
Torsten Blochwitz
ITI GmbH, Dresden, Germany
Edgar Liebold
NSC GmbH, Zwickau, Germany
Ullrich Hintzen
FASA AG, Chemnitz, Germany
Volker Klostermann
Provedo GmbH, Leipzig, Germany
Ladda ner artikel
http://dx.doi.org/10.3384/ecp15118401Ingår i: Proceedings of the 11th International Modelica Conference, Versailles, France, September 21-23, 2015
Linköping Electronic Conference Proceedings 118:43, s. 401-410
Publicerad: 2015-09-18
ISBN: 978-91-7685-955-1
ISSN: 1650-3686 (tryckt), 1650-3740 (online)
The goal of the research project enerMAT is the reduction of energy consumption and CO2 emissions of buildings. Especially solar heating systems are installed in more and more buildings. This paper introduces a novel approach for simulation and optimisation that aims to improve the performance of building controllers and especially solar heating controllers by simulation and model-in-the-loop tests. A new generation of energy-aware optimized building energy management system (BEMS) will be discussed and its advantages over the older controllers highlighted. The energy-aware optimisation will be shown on a model-based approach with an overall building system model enabling the assessment of the energy performance for different design and operation alternatives of the building automation system in interaction with the building. This system model will allow a simulation-based, energy-aware, global, dynamic, multi-criterial optimization of BEMS. In this paper, the idea, the approach, and the actual state of the project research is presented with a focus on solar heating controllers.
Bundesministerium für Wirtschaft und Energie Energieeinsparverordnung 2014.
European Commission: EU Energy and transport in figures, statistical pocket book 2007/2008.
Kennedy J., E. R.: Particle swarm optimization. IEEE International Conference on Neural Networks, (S. 1942 - 1948). Bur. of Labor Stat., Washington, DC, USA, 1995.
Majetta, K., Clauss, C., Haufe, J., Seidel, S., Blochwitz, T., Liebold, E., Hintzen, U., Klostermann, V.: Design and Optimization of an Energy Manager for an Office Building, ASIM/GI-Section Workshop – Simulation of Technical Systems & Methods in Modelling and Simulation, Stralsund, June 2015.
Schwan, T.; Unger, R.; Bäker, B.; Mikoleit, B.; Kehrer, C.; Rodemann, T.: „Green Building“ – Modelling renewable building energy systems ans electric mobility concepts using Modelica. 9th International Modelica Conference, Munich, September 2012.
Seidel, S., Donath, U., Haufe, J.: Approach to a Simulationbased Verification Environment for Material Handling Systems, 17th IEEE Conference on Emerging Technologies and Factory Automation, Krakow, September 2012.
Seidel, S., Klotz, T., Donath, U., Haufe, J.: Modelling the Real-Time Behaviour of Machine Controls using UML Statecharts, 15th IEEE Conference on Emerging Technologies and Factory Automation, Bilbao, September 2010.
Seidel, S. Donath, U.: Error-free Control Programs by means of Graphical Program Design, Simulation-based Verification and Automatic Code Generation, 8th International Modelica Conference, Dresden, March 2011.
Technische Alternative: UVR 1611 Frei programmierbare Universalregelung Bedienung, Programmierung, Montageanleitung Ver.4 2014.
