QUARTZ SOLAR
USERS
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ENERGY TRADERS
Solar variability can be key in setting prices on high solar days. Having access to an accurate, early forecast as soon as possible via a dashboard or API is almost like cheating.
SOLAR FARMS
Inaccurate forecasts can result in owners losing 5% of a solar farm’s revenues each year. Site level and national forecasts which learn from history allow offtake owners to reduce losses and volatility.
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SMART HOMES
Smart homes aim to maximise self-consumption of solar energy through clever electricity and battery use. Granular, site-level solar forecasts that learn from local history, let them optimise energy use minute to minute.
How We Help ESO Deal With The Rapid Rise Of Renewable Energy
"National Grid ESO has worked closely with Open Climate Fix to develop this AI solar forecasting solution and ensure that it's tailored to our needs. Having access to an improved embedded solar forecast will help control room engineers reduce balancing costs and emissions."
Lyndon Ruff
PROBLEM
National Grid-Electricity System Operator (ESO) manages the UK’s electricity transmission system, balancing tens of gigawatts of generation and demand every year, providing one of the most stable grids in the world. The growth and volatility of solar electricity generation is making the job of their control room engineers ever harder.
SOLUTION
Combining real-time satellite imagery with weather and solar generation data in a cutting edge AI power model allows more accuracy - especially in short time horizons.
IMPACT
OCF has been able to produce forecasts which are three times more accurate than existing models. This has the potential to save thousands of tonnes of CO2. National Grid ESO is currently using these forecasts in the control room to help their engineers make better balancing decisions.