20 August 2023
Laboratory testing at London South Bank University continues, utilising a rig that simulates the vibrations in the rail when a train passes.
The rig allows for different arrangements of nanotubes to be trialed.
The Voltage and Current output changes depending on how RailPower is constructed.
Using this approach allows for the design of our products to be perfected before operation in the field.
The RailPower team have successfully built a prototype of their design, achieving the TRIG Level 4 status that we were funded for from the TRIP program.
The next step for RailPower is to obtain funding to increase the efficiency of the design, and investigate methods for multiple units to work in series for greater power generation
9th January 2025
To validate the technology we have created, Potential Energy contracted Electrosciences Ltd to test our RailPower demonstrator unit.
Their report proves our concept of power generation through conversion of vibration energy into electrical power.
You can read more by downloading the report
15th November 2024
Potential Energy has been shortlisted by Etihad Rail during its innovation funding round for new technologies to support improvements upon the UAE rail infrastructure.
1st September 2025
Latest CAD developments for our next generation sensor rail track. Designed to fit into an IP68 canister, connecting to the web, with advanced telecoms over a 3km range to enable remote analysis of the inherent vibrations of the system.
Our latest generation of AI and sensor can effectively differentiate between undamaged and the onset of damage. Importantly we can identify the type of onset damage, such as a void, crack or failed lubrication, to enable the operators early insights into changes in the health of the track environment.
7th October 2025
A new demonstrator getting set up for field testing.. what's in the box? A bespoke sensor with flat band performance over targeted frequencies, electronics, power handling and communication systems. All beamed back to be analysed by our AI code to keep the RAG dashboard up to date.
