The testbed Aspern Smart City Research focuses on energy management, smart buildings, smart grids, smart ICT and smart users. An integrative system approach to optimize the energy use, technologies and consumption is taken. Main focus on energy flexibilities and markets and user participation.
Aspern Smart City Research(ASCR) is a joint venture research company. Wien Energie GmbH (energy provider), Siemens AG Österreich (technology provider) and Wiener Netze GmbH (network operator) and two other organisations, working together on energy solutions for the future, solving energy research questions. The ASCR pilot implements an integrative system optimization in the domains smart buildings, smart grids and smart ICT at three building sites with mixed use (student homes - 300 rooms, 213 private apartments, school campus (kindergarten and school). New concepts for user involvement will be developed and innovative activities for a smart user participation explored. The buildings are equipped with photovoltaic panels, solar thermal panels, hybrid panels, heat pumps and various thermal as well as electrical storage facilities. The buildings of tomorrow are genuine prosumers; they do not only use energy, they also produce and store it. Complex ICT systems facilitate the management of the production, distribution, consumption, storage and transmission of energy. Project focus: optimisation of buildings own energy consumption use of energy flexibility and conditions to attend energy markets and planning/operation of local voltage networks.12 secondary substations, 24 transformers and hundreds of sensors form the infrastructure of the Smart Grid Testbed. With these technolgies ASCR explores how to turn a traditional network into a smart network.
Transition from a passive distribution network to a smart grid monitoring grid dynamics/fluctuating voltages data collection by smart meters/self configurating field-sensors incl. quality measuring/grid monitoring devices long term and short term network planning.
ICT : analysis of the interaction/interpendencies between networks and buildings, energy productions and usage.
Digital reproduction of reality with real data simulating and energy concepts and optimisation measures to develop transferable energy solutions for cities.
Adaptive self-learning algorithms are used for the models of buildings and networks.
Users are very important, determining how much energy the building needs and to what extent it can offer flexibilities. 111 private households (>50%) have permitted their consumption-data to be measured.
A functioning future energy model, answering what technologies are needed, user involvement and roles, as well as how buildings can communicate with grids in an optimal way.