Model regions and regional pilot projects

Optimal integration of regional renewable energy

eTelligence research project, model region Cuxhaven
It takes more than just the expansion of renewable energy for a successful turnaround in energy policy. In the eTelligence research project, passive consumers were active, renewable power generation systems were interconnected with users and other systems to virtual power plants, a regional marketplace was set up and the distribution network became transparent and active. The goal was to optimally integrate the existing regional potential of renewable energy sources into the overall system.

Through eTelligence, the cold storage house is turned into an electricity storage devide. If a lot of wind is blowing, it continues to cool down. If the wind turbines are stationary, the cooling system turns off until it has reached its original temperature.

eTelligence networked household customers, industrial clients and renewable energies to an intelligent complete system. The objective was to use the potential already available.

From 2008 until 2012, the eTelligence research project was about intelligently networking electricity producers and consumers, thereby optimally integrating renewable energy into the system. eTelligence assessed key factors for a successful turnaround in energy policy. Rural areas increase strength: in the model region of Cuxhaven, the share of renewable energy was already at 50% when the project began. It looks similar in many other regions in rural areas, as many renewable energies are met with low population densities and less consumption. eTelligence developed solutions for this situation by expanding networks and making them intelligent. In order for the networks to remain stable despite fluctuating input from wind and solar energy, they must become transparent and controllable. eTelligence upgraded 100 local network stations in order to record important data. Cushion fluctuating inputs of renewable energy: eTelligence used the possibilities from the flexible consumption of cold storage houses in order to buffer fluctuations in wind energy. In the virtual power plant, the need for balance energy for fluctuating renewable energies was reduced by 15%. Demand energy efficiency and savings: about 650 households participated in the field test with intelligent metres which made ​​their consumption transparent and provided special variable rates. As a result, savings of around 13% were reached. Stabilise costs: on average, the households which participated in the field test achieved savings of €100 and the cold storage houses saved up to 8% of their electricity costs by increasing the flexibility of their consumption. Turning participants into subscribers: for small producers, the market entry barrier to trade in the stock market is much too high. eTelligence made it possible for them to have a digital marketplace in which energy products could be sold in a fully automated manner.

contact details/company:
EWE AG
Tirpitzstraße 39
26122 Oldenburg
www.ewe.com


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