Solar and Storage Modelling Pty LtdLocation
South AustraliaARENA Program
AEMO, The Weather Company Pty Limited, Energy Australia Pty Ltd, SA Power Networks and TESLA Asia Pacific Ltd
Solcast will develop a proof of concept demonstration of a forecasting tool which will track and predict renewable energy output over South Australia in real time.
The Gridded Renewables Nowcasting Demonstration project acknowledges that forecasting electricity generation from renewable energy resources on a day ahead or short-term basis is essential for the management of networks with high shares of renewable energy.
Existing technologies used to predict the ‘nowcasting’ (i.e. 5 minutes to 6 hours ahead) forecast horizon are based on numerical weather programs, which update two to four times per day.
These models leave gaps in the nowcast predictions, which can affect the security and reliability of electricity supply.
Media Release: Gridded Renewable Nowcasting Demonstration Lessons Learnt 1
This report provides an update on Solcast’s aim to enhance existing weather forecast services by developing a proof of concept demonstration of a forecasting tool to track and predict renewable output in real time.Read the report
Media Release: Optimising Renewable Energy Output Through Weather Forecasting
An innovative live demonstration of gridded, automatic renewable generation forecasts in SA is set to lead the way for a national roll-out of next generation energy forecasting.Read the release
The Gridded Renewables Nowcasting Demonstration project will demonstrate nowcasting technology over South Australia, which will utilise a range of data sets and data streams, including historical surface meteorological measurement data and wind and solar farm weather data, to develop high quality forecasts. These forecasts will be shared via project partners, Weatherzone and TESLA Asia Pacific, to be assessed and used by AEMO, the local distribution network operator (SA Power Networks), and generator asset operators.
The project forecasting methodologies will be capable of accurately predicting renewable energy generation on the nowcasting horizon, including ramping events and periods of suppressed generation, with a gridded, rapidly-updating, spatially aware forecast model.
This initiative aims to provide the energy industry with enhanced situational awareness and more precise forecasts to support the management of the grid.
Solcast will author a public knowledge sharing report highlighting the outcomes of the project including the forecast performance, economic impact/value on the grid, and use cases for the technology.