This case study summarises the work completed in an InnovateUK collaborative research project to optimize battery storage at PV sites using short term solar irradiance predictions. As a result of this work, the project delivered the following outcomes.
The project uses near real time satellite imagery to predict the path of clouds and to predict the solar irradiance at any location for the next 2 hours at 15 minute increments. Therefore, by predicting the solar irradiance we can predict the solar power output for the site and optimize battery storage and increase revenue from the National Grid’s Demand Side Response programme.
The Project found that PV sites larger than 2MW would benefit from this technology and it is especially coct effective for sites operating ‘behind the meter’ with either battery storage or with on-site demand.
The project finished in January 2019 and was built using the Meniscus Analytics Platform (MAP).