Hybrid Simulation of Smart Energy Systems

Development of the simulation framework i7-AnyEnergy for networked smart energy systems. For this framework methods such as discrete event simulation (e.g. for demand, weather and control models) and System Dynamics models (e.g. for energy and cost flows) are combined in one simulation model. It provides pre-built components from which more complex energy system models can be constructed in a flexible way. From the basic components for the energy demand (electrical and thermal), for energy conversion (e.g. gas heating, combined heat and power with fuel cells), for renewable energy (photovoltaics), for energy storage (batteries, chemical storages), as well as for the control, house models can be constructed and coupled to larger systems with a common weather model and communication network.

  • Keywords: networked smart energy systems
  • Project Period: 2011-10-01 - 2021-12-31

Project Members

  1. Peter Bazan, "Hybrid Simulation of Smart Energy Systems," Erlangen-Nürnberg, November 2017
  2. Peter Bazan, Philipp Luchscheider and Reinhard German, "Rapid Modeling and Simulation of Hybrid Energy Networks," Proceedings of the 2015 SmartER Europe Conference, Essen, Germany, February 2015
  3. Peter Bazan, Marco Pruckner, David Steber and Reinhard German, "Hierarchical Simulation of the German Energy System and Houses with PV and Storage Systems," D.A.CH. Energieinformatik 2015, Karlsruhe, Germany, November 2015
  4. Abdalkarim Awad, Peter Bazan and Reinhard German, "Privacy Aware Demand Response and Smart Metering," Proceedings of the IEEE 81st Vehicular Technology Conference: VTC2015-Spring, First International Workshop on Integrating Communications, Control, Computing Technologies for Smart Grid (ICT4SG), Glasgow, Scotland, pp. 1-15, May 2015  
  5. David Steber, Peter Bazan and Reinhard German, "SWARM - Increasing Households’ Internal PV Consumption and Offering Primary Control Power with Distributed Batteries," Lecture Notes in Computer Science (LNCS), Karlsruhe, Germany, November 2015
  6. Anatoli Djanatliev, Peter Bazan and Reinhard German, "Partial Paradigm Hiding and Reusability in Hybrid Simulation Modeling Using the Frameworks HealthDS and i7-AnyEnergy," Proceedings of the 2014 Winter Simulation Conference, Savannah, GA USA, pp. 1723-1734, December 2014  
  7. Peter Bazan and Reinhard German, "Hybrid Simulation Framework for Renewable Energy Generation and Storage Grids," Proceedings of the International Workshop on Demand Modeling and Quantitative Analysis of Future Generation Energy Networks and Energy Efficient Systems, Bamberg, Germany, March 2014
  8. Abdalkarim Awad, Marco Pruckner, Peter Bazan and Reinhard German, "On the Profit Enhancement and State Estimation Services in the Smart Grid," Proceedings of the IEEE PES Innovative Smart Grid Technologies Conference, Washington DC/USA, pp. 1-5, February 2014  
  9. Abdalkarim Awad, Peter Bazan and Reinhard German, "SGsim: a Simulation Framework for Smart Grid Applications," Proceedings of the IEEE International Energy Conference (ENERGYCON 2014), Dubrovnik, Croatia, pp. 730-736, May 2014  
  10. Philipp Luchscheider, Peter Bazan and Reinhard German, "Zeitlich hochaufgelöste Simulation von Solarstrahlung zur Bewertung von Smart Grids," 29. Symposium Photovoltaische Solarenergie (PVSE 2014), Bad Staffelstein, Germany, March 2014
  11. Abdalkarim Awad, Peter Bazan and Reinhard German, "Profit Enhancement Through Optimized Operation of Photovoltaic Systems with Elastic Demand," IEEE PES Asia-Pacific Power and Energy Engineering Conference 2013, Hong Kong, pp. 1-6, December 2013  
  12. Peter Bazan and Reinhard German, "Hybride Simulation eines Hauses mit Photovoltaikanlage und Batteriespeicher," 28. Symposium Photovoltaische Solarenergie, Bad Staffelstein, Germany, 2013
  13. Abdalkarim Awad, Peter Bazan and Reinhard German, "Exploiting Day-Ahead Electricity Price for Maximized Profit of Photovoltaic Systems," IEEE International Conference on Smart Grid Technology, Economics and Policies (SG-TEP 2012), Nürnberg, pp. 1-4, December 2012  
  14. Peter Bazan and Reinhard German, "Hybrid Simulation of Renewable Energy Generation and Storage Grids," Proceedings of the 2012 Winter Simulation Conference, Berlin, December 2012  
  15. Abdalkarim Awad, Peter Bazan and Reinhard German, "Abstract-Based Methodology for Modeling and Simulation of Smart Grid Components," Proceedings of the UKSim 6th European Symposium on Computer Modeling and Simulation, Malta, pp. 305-310, November 2012  
  16. Marco Pruckner, Peter Bazan and Reinhard German, "Towards a simulation model of the Bavarian electrical energy system," INFORMATIK 2012, Smart Grid Wshp., Braunschweig, September 2012


Hybrid Simulation of Smart Energy Systems overview

Successful coorperation with thyssenkrupp

The Tech-Center Control Technology of the thyssenkrupp AG assigned Computer Science 7 to analyze the optimal dispatch of a cement plant by a combined optimization and simulation model. Mainly cost reduction potentials should be determined by optimizing the cement production considering the integration of storage within the whole production process. Furthermore, a redox-flow batterie and a wind powerplant were added to the cement plant in order to determine possible cost savings by reducing the grid power supply on the one hand and beeing able to offer frequency restoration reserve power on the other hand. The results showed that a significant decrease of electricity supply cost per produced ton cement is possible under certain conditions. For more detailed information please take a look at the paper presented at the Energieinformatik 2016 conference and the article in the technology magazine techforum published by thyssenkrupp AG.

Published on 2017-05-24 09:19:37 (Permalink)

Open on AEG 2016

On September 11, 2016, the Energy Campus Nuremberg presented research projects and their applications at the "Open on AEG" event. The Chair of Computer Science 7 gave interested citizens an insight into the current research in the field of smart energy systems. With efficient simulation tools, energy systems are modeled from a single household to residential areas, distributed battery systems, industrial processes up to the entire electrical power supply. The efficiency potential for the use of renewable energy sources as well as of storage systems is determined and as a result an economic design is made possible. [metaslider id=1925]

Published on 2016-11-04 15:59:57 (Permalink)