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OrPHEuS

Optimizing Hybrid Energy Grids for Smart Cities

Multiple energy grids (electricity, heating/cooling, and gas) still mainly operate independently. Although interactions are increasingly apparent, an optimal synergy between them has neither been comprehensively analysed nor implemented in practice. Interactions among different energy grids should be improved since this will lead to CO2 reduction, energy savings, demand balancing and a better integration of renewable energy systems in the cities.

The OrPHEuS project aimed at solutions for optimizing the interaction among multiple energy grids which are connected through coupling points and defined as hybrid energy grids. The project evaluated how ICT devices along with control algorithms can build strategies for energy optimization. Using the cases of existing energy systems setups in two cities, Ulm (Germany) and Skellefteå (Sweden), strategies for hybrid energy grids controlling and cooperation were developed and evaluated.

Project start: September 2013

Project duration: 38 months

Project partners: WIRTSCHAFT UND INFRASTRUKTUR GMBH & CO PLANUNGS KG (Lead), TU Wien, AIT Austrian Institute of Technology GmbH, SWU Netze GmbH, DLR EV, Fachhochschule Ulm, SKELLEFTEA KRAFT AB, LULEA TEKNISKA UNIVERSITET, NEC EUROPE LTD

Funding line: FP7, ICT-2014.6.4 Optimized Energy Systems in Smart Cities

Project website: http://www.orpheus-project.eu/

Link to project video: http://www.orpheus-project.eu/publications/13-publications/30-video.html

AIT contact: Daniele Basciotti

Publications

E. Widl, W. Müller, D. Basciotti, S. Henein, S. Hauer, K. Eder „Simulation of Multi-domain Energy Systems Based on the Functional Mock-up Interface Specification”, 2015 International Symposium on Smart Electric Distribution Systems and Technologies (EDST), Vienna, Austria, September 8-11, 2015,

http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=7315261

T. Jacobs, S. Nicolas, T.-G. Noh, A. Schuelke, H. Auer, D. Schwabeneder, D. Basciotti, E. Widl, S. Henein, O. Terreros “Increasing the Utilization Ratio of Photovoltaic Energy by Network Hybridization” 2016 IEEE International Conferences on Big Data and Cloud Computing (BDCloud), Social Computing and Networking (SocialCom), Sustainable Computing and Communications (SustainCom), Atlanta, GA, 2016, pp. 445-452,

http://ieeexplore.ieee.org/document/7723726/