
See local context
Connect network conditions with participating homes and assets.
Forecast the flexibility that could be available, then coordinate it where local network conditions make it valuable.
GridFlex connects network conditions, building demand and flexible technologies through a local decision engine.


Connect network conditions with participating homes and assets.

Balance network need with the flexibility available in buildings.

Estimate when flexible demand could be shifted and what that means for the network.

Estimate how much thermal demand could shift across individual homes, regions and network areas—supporting DNO planning, scenario analysis and targeted flexibility programmes.
Use indoor and outdoor temperature data to fit simplified resistance-capacitance models and estimate thermal response, comfort windows and rebound.
Where detailed temperature data is unavailable, use building-stock and EPC characteristics for faster early-stage estimates.
Estimate the flexibility opportunity across a portfolio or network area.
Identify the locations, technologies and operating conditions worth testing.
Use GridFlex in a focused field trial and measure the network response.
We’re speaking with network, housing and technology partners about initial pilot opportunities.