Institut für Energiesysteme und Elektrische Antriebe, Arbeitsgruppe Elektrische Anlagen
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SmartCityGrid: CoOpt - Coordinated optimization of renewable energy in grid and building in planning and operation


Problem: Investigations have demonstrated that in an urban city district, a 100% coverage of the electrical energy demand and even a surplus production by means of renewable but fluctuating energy sources (e.g. photovoltaics) is principally possible. However, due to technical restrictions of the existing urban electric energy system caused by network supply bottlenecks through production peaks, voltage increase, etc. a limitation of the increase is possible. Without an active integration only a small portion of the theoretical energy production maximum can be obtained. In order to reach a global optimum in the sense of direct utilization of renewable energy and energy efficiency, we must not only consider single buildings, but need to optimize the overall electric distribution network in context with the supplied buildings. This requires a global systemic energy management at the levels of the building and the distribution network.

Methodology: Optimized control strategies, allowing for predictive reaction, are developed. To manage this task, model-based predictive controls (MPC) have proven to be very useful in several industrial applications (e.g. power plant technology). Through the predictive character of the controller future changes can be optimally addressed. Exact models and predictions are needed, related to the development of demand, production, and consumption or weather related forecasts. In order to realize a global systemic optimization, hierarchical control concepts are developed. The optimization methods are validated on two real buildings in connection with a simulated urban area and distribution network.

Goals: By an optimized use and integration of thermal and electrical storages and passive storage masses (buildings) into the urban energy management it will be possible to integrate the locally produced renewable energy optimally – in the sense of energy efficiency and sustainability – into the operation of the building and of the network.

Results: The core project result will be a quantification of the impacts on sustainability (climate balance). Further, a holistic methodological approach, as well as strategies and simulation tools for an overall systemic, co-ordinated optimization are elaborated (e.g. reduction of current peaks by cooling at times of high performance, increase of efficiency related to normal operation and related to single  optimization, etc.).

Findings: SmartCityGrid:CoOpt will show that an optimization by means of model predictive control is a substantial improvement compared to existing operation methods of buildings and distribution networks in cities and will indicate which potentials for increased efficiency can be expected. The optimization of the operation – and of the related sustainable planning – of urban, electric energy systems including buildings will be thus possible. The coordinated optimization of producer and consumer on the one hand and of buildings and networks on the other hand are paving the way for an energy sustainable urban development, a future ‘Smart City’.

 Project consortium

  • AIT - Austrian Institute of Technology, Energy Department
  • Automation X
  • Technikum Wien GmbH - Institut für Enerneuerbare Energie
  • HAKOM - EDV-Dienstleistungs GmbH
  • TU Wien - Institut für Energiesysteme und Elektrische Antriebe
  • TU Wien - Institut für Energietechnik und Thermodynamik
  • TU Wien - Institut für Mechanik und Mechatronik
  • Wien Energie Stromnetz


 Paper (german): Der Nutzen von aktiven Bürogebäuden für Mittelspannungsnetze - Vorstellung des Projektes "SmartCityGrid:CoOpt"


Markus Heimberger

Michael Chochole

Franz Zeilinger




Dieses Projekt wird aus Mitteln des Klima- und Energiefonds gefördert und im Rahmen des Programms „NEUE ENERGIEN 2020“ durchgeführt.