Optimize ENGIE's renewable assets performance
Nowadays, producing renewable energy poses many challenges. The amount of energy produced by assets such as wind turbines or photovoltaic panels varies - depending on random external factors like weather conditions.
ENGIE has thus developed Darwin.
This solution collects in real time the data communicated by wind, solar, hydroelectric and biogas parks. This data is then crossed with other information, like weather forecasts.
The goal? To help operational teams improve their revenues and control their costs, in order to accelerate the transition to a low-carbon energy mix.
How Darwin makes a difference:
Monitor assets in real time at fleet, farm and machine level
Monitor their availability and benefit from automated energy loss computation
Consult 10-day production forecasts
Set-up real-time notification rules
Share a referential of static data within teams and with all stakeholders (e.g. coordinates, contact details, main components)
Customize and automate reporting: real production vs. budget, wind resource effect estimation, actual availability vs contractual
Track maintenance contract costs - automatically calculated based on actual data
PERFORMANCE AND HEALTH MONITORING
View and download data up to 1 Hz
Benefit from preconfigured power curve and performance ratio analysis
Detect underperformance with machine learning and neighbor methods
Monitor assets' main components' health to perform predictive maintenance (e.g. main bearing, generator, gearbox, temperature sensor, etc.)
Share standardized production and forecast data with key stakeholders (e.g. traders, market aggregators, PPA off-takers)
Improve efficency of energy management and sales