MeteoFlow: Iberdrola's Advanced System for Optimizing Renewable Energy Forecasting

MeteoFlow Project: Forecasting and Optimizing Renewable Energy Production

For more than fifteen years, the MeteoFlow project has been innovating to predict medium and long-term meteorological variables for any type of renewable energy installation. Developed in-house by Iberdrola Renovables, this integrated system serves as a cornerstone tool for forecasting energy production and optimizing operations across wind, photovoltc, and hydroelectric facilities.

Under the guidance of Pilar Orellana, MeteoFlow's performance monitoring manager, we delve into its evolution, current capabilities, and future challenges.

MeteoFlow is Iberdrola’s proprietary software system with the core mission of estimating upcoming electricity production for various renewable energy sources. This advanced information empowers optimal decision-making in energy markets and facilitates strategic scheduling to minimize operational disruptions while maximizing efficiency.

100 developed by the Iberdrola Renovables team, MeteoFlow has been continuously updated to integrate the most sophisticated meteorological prediction techniques alongside , , and big data technologies. This progress is a testament to a dedicated group of experts responsible for system mntenance, monitoring, and development.

Features:

• Production Forecasting: Estimation of electricity output from renewable installations in real-time.

• Projections: Hourly forecasts up to 96 hours ahead and dly forecasts up to 10 days for over 450 wind and photovoltc plants across various countries where Iberdrola operates.

• Integration: A self-developed system that seamlessly integrates with other tools supporting facility operations.

MeteoFlow's performance is notable for achieving forecast accuracy rates surpassing those of competing solutions in the market. It supports critical functions such as:

• Anticipating energy production hours before it impacts the markets, leading to revenue optimization and increased profitability.

• Optimizing Operation and Mntenance OM schedules based on weather forecasts to reduce downtime and enhance efficiency.

Core Functionality:

• Renewable Energy Forecasting: Utilizes wind forecasts for onshore and offshore wind farms, solar radiation predictions for photovoltc plants, and integrates historical production data with advanced analytics.

• Meteorological Data Processing: Analyzes global weather information and historical production data to refine predictions, ensuring accuracy in anticipating renewable energy output.

MeteoFlow’s evolution is a testament to Iberdrola's commitment to innovation within the renewable energy sector. By leveraging cutting-edge technologies and expertise, MeteoFlow continues to set benchmarks for forecasting precision and operational efficiency.

Future Outlook:

As technology advances and renewable energy sources become more integral to global energy landscapes, MeteoFlow remns poised at the forefront of predictive analytics in renewable energy management. With ongoing development efforts focusing on enhancing accuracy and expanding capabilities, this project ensures a sustnable future powered by reliable, efficient forecasting tools for renewable installations.

: The story of MeteoFlow is one of relentless innovation med at optimizing renewable energy production through sophisticated forecasting techniques. As the industry evolves, Iberdrola's commitment to leveraging technology for improved efficiency underscores its leadership in renewable energy management.
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