Smart Grid - energy distribution and network control

Energy management on the neighbourhood level

EEPOS research project
The growing share of renewable energies in the electricity supply places new challenges on the grids. As the production rates of renewable energies are strongly dependent on the time of day and weather, it is necessary to compensate for periods of energy excess or shortages with storage solutions and intelligent load management. Under the EEPOS project, DERlab has teamed up with seven partners from research, industry, and the public sector to develop a neighbourhood level energy management system, which adapts energy consumption within a networked neighbourhood to the current rate of production.

EEPOS is a European research and development project which, will run for three years and is supported by the European Commission under the Seventh Framework Programme (FP7). Using internet protocol (IP) based data communication, the new EEPOS Neighbourhood Energy Management System will interact with the energy management systems of households as well as with other consumers and producers within the neighbourhood, such as street lighting or PV panels.

The development of the Neighbourhood Automation System and the associated automation and management applications, being one of the two subsystems of the EEPOS Neighbourhood Energy Management System, is led by DERlab. Its architecture is based on OGEMA, an open-source software platform for standardised and automated energy management, whose development is coordinated by Fraunhofer IWES in Kassel.

Basic services that the EEPOS Automation System will provide include monitoring and forecasting applications, which, for example, can be used to predict energy production and consumption within the neighbourhood. For this purpose, external information, such as weather forecasts or estimations of consumer responses to price incentives, will be taken into account. To even out energy consumption peaks and capture production rate fluctuations of renewable energy sources, intelligent energy management and load shifting algorithms are developed and implemented. Among others, these algorithms will exploit the virtual storage potential of cooling and heating devices within the neighbourhood.

In order to evaluate the performance of the EEPOS system, two extensive field tests in Langenfeld, Germany, and Espoo, Finland, will be carried out. Relevant assessment criteria for the tests include energy efficiency, utilisation of load shifting potentials, prediction quality, and user-friendliness. Before its deployment in the field, the Neighbourhood Automation System will undergo extensive functionality tests in the laboratories of Fraunhofer IWES. In addition, a simulation-based virtual demonstration study for the municipality of Asparrena community, Spain, will be carried out.

contact details/company:
European Distributed Energy Resources Laboratories (DERlab) e.V.
c/o Fraunhofer IWES
Königstor 59
34119 Kassel
www.der-lab.net


contact person:
Dr. Birthe Klebow
+49 (0)561 7294 493
birthe.klebow@der-lab.net