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From Prediction to Power: Applying Weather, Climate Forecasting, and AI in Renewable Energy - International Renewable Energy Agency (IRENA)

The National ·

The International Renewable Energy Agency (IRENA) has published a report titled 'From Prediction to Power: Applying Weather, Climate Forecasting, and AI in Renewable Energy'. This publication explores the integration of artificial intelligence with advanced weather and climate forecasting models. It details how these technologies can enhance the efficiency, reliability, and predictability of renewable energy sources, such as solar and wind power. Why it matters: This work highlights the critical role of AI in accelerating renewable energy adoption and achieving global climate goals by transforming intermittent energy sources into more stable and manageable power generation assets.

LAB FOCUS: Using nanoparticles to improve solar cells

KAUST ·

KAUST's Functional Nanomaterials Laboratory (FuNL), led by Prof. Osman Bakr, focuses on synthesizing nanomaterials with novel optical, electronic, and magnetic properties for solar cells and other devices. The lab's research centers on controlling the size and composition of nanoparticles to optimize light absorption across different wavelengths. Unlike silicon-based solar cells, nanoparticle-based solar cells can be processed at low temperatures and potentially integrated with roll-to-roll printing. Why it matters: This research could lead to more efficient and versatile solar energy solutions, including printable photovoltaic thin films for buildings and flexible electronics.