Teraloop has evolved the flywheel concept, paving the way for a large scale, high energy, kinetic storage system.
Teraloop is revolutionizing the world of energy storage, with an innovative and patented configuration of existing, proven technologies: MAGLEV, flywheels and brushless electric motors.
Our system consists of a large scale magnetically levitated rotor, which is charged and accelerated when surplus energy is available, then discharges into the grid when the energy is needed. Commercially, the system will operate underground, presenting a minimal visual and environmental footprint.
Deploying Teraloop’s technology would give a fast response system capable of scaling to high power; this would provide an effective solution to many medium to large scale storage applications whilst also helping to reduce the problems of grid congestion and volatility arising from high levels of variable renewable sources in the energy mix.
Our initial target market is industrial power management, where cost avoidance and opportunistic revenue generation drive the fastest-growing stationary storage opportunities.
More power, more capacity.
Teraloop’s technology is inherently scalable to a large-scale storage system, to operate beyond the power and energy range of typical battery technologies. Our addressable market extends beyond these technologies and will complement their place in the utility and service operator industries.
From proof of concept to industrial prototype
Our first laboratory scale device was developed in 2016, to demonstrate the concept and to validate our analytical and computational design techniques.
In conjunction with our supply partners and with the support of Yaskawa Electric Corporation, Teraloop then completed the construction of a part-scale prototype in order to demonstrate the characteristics of the system and prove the design for scaling to higher energy capacities.
The prototype will also be integrated into a grid environment in order to perform ancillary services and to produce demand response data for the operator.