Research Project
Weather4Energy: Weather forecasts to support energy infrastructure
ABSTRACT
A new framework for climate forecasting to support energy and infrastructure systems.
Where: italy
Where: italy
Challenge
The natural variability of weather and climate significantly affects energy sources, making an in-depth understanding of the climatic context and meteorological parameters essential to anticipate critical events and optimize risk map coverage across the Italian territory.
Approach
Weather4Energy (W4E) offers an innovative solution to support wind and solar energy production at specific sites, analyze variations in the capacity of power lines in Italy, and simulate impacts on road infrastructure and electrical systems.
The solution introduces a hierarchy of statistical techniques, enabling a quantitative and flexible approach.
Digital Ecosystem
Solution
Digital Ecosystem
The solution develops an innovative framework to generate accurate forecasts and climate projections for energy and infrastructure systems.
It provides a meteorological modeling and climate projection environment, statistical downscaling, simulation of extreme events (e.g., heatwaves or hydrogeological events), as well as risk monitoring.
Eng leverages a data processing framework based on workflows executed on HPC (High Performance Computing) infrastructures, serving as a common processing environment for rapid prototyping, implementation, execution, and monitoring of AI-driven big data analysis for workflows and batch applications. W4E is funded by PNRR, Spoke 0 – Supercomputing Cloud Infrastructure.
Results
Accurate planning of infrastructure investments
Identification of new motorway network segments
Assessment of the impact of extreme weather events
Impacts
Technologies
AI & Data
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