High potential of blockchained home storage systems

09.05.2019

Maintaining the balance of the transmission system despite volatility of renewables and lack of conventional operating reserves is an essential future concern of European transmission system operators (TSOs). In search of adequate balancing solutions, a worldwide unique pilot project for the blockchain-based networking of home storage systems was launched in 2017. The cooperation partners are TSCNET shareholder TenneT, the Dutch-German TSO, and sonnen, a company specialised in smart power storage. The promisingly completed pilot demonstrates the potential of blockchain technology to become a key application for the efficient provision of network stabilising measures.

The aim of the pilot was to test the suitability of blockchained storage systems for preventing emergency measures in the event of bottlenecks, e. g. the throttling of wind farms. To this end, TenneT deployed a virtual power station comprising of home storage systems specially provided by sonnen with a blockchain solution by IBM. The intelligent charge management of the battery storage systems adapted itself individually to the respective situation in the TenneT grid, whereby the batteries absorb or release excess current within seconds if required.

Manon van Beek, CEO of TenneT, comments on the succesful project: “We’ve shown for the first time how it’s technically feasible to utilise blockchain technology so households can stabilise the power grid via their home storage systems.” Actually, the results are so promising that TenneT intends to undertake further blockchain programmes, especially as by 2030 there could already be decentralised battery storage facilities in Germany with a total capacity of up to 10,000MW.

A pilot project by TenneT on blockchained home storage systems for grid stabilisation has proven the high potential of this technological approach (picture: edited screenshot taken from sonnen video “The largest virtual battery to compensate for fluctuations in the power grid”, YouTube)

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