03 JUL 2025 (THU) 10:30-11:30

Geography Distinguished Seminars Series

Applications of Numerical Weather Forecasting in Renewable Energy

Date: 03 JUL 2025 (Thursday)

Time: 10:30-11:30 (HKT)

Mode: Hybrid

Venue: Chamber, Faculty of Social Science, 11/F, The Jockey Club Tower, Centennial Campus, HKU

Via Zoom: Zoom link will be provided upon successful registration

Registration link: https://hkuems1.hku.hk/hkuems/ec_hdetail.aspx?guest=Y&ueid=101671

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Abstract:

Extreme weather events have become more frequent and intense under a warming climate, and they have severe impacts on the stable operation of the power grid and the assurance of power supply capacity. At the same time, as the large-scale wind and solar power generation gradually connects to the grid, the randomness, volatility, and intermittency of renewable energy represented by the wind and solar power pose serious challenges to the balance and scheduling of the power grid. Accurate forecasting of these resources such as wind, solar radiation, and precipitation at different time scales is the foundation for efficient grid integration and consumption. The high-precision power meteorological numerical forecasting provides multi-temporal and spatial scale forecasting information for power dispatch, planning, and design, reducing the difficulty of grid integration and consumption and the risk of insufficient power supply. This helps the new power system adapt to weather and climate risks and enhances its ability to ensure safe power supply. This presentation introduces the applications and challenges of the seamless numerical forecasting at the time scale ranging from hours to days and weeks in the power meteorology from the perspectives of power forecasting, meteorological disaster risk management, energy security risks brought by climate change, and new technologies.

Professor Linlin PAN

Chief meteorologist, China Electric Power Research Institute (CEPRI)

Chief engineer, National Key Laboratory of Renewable Energy

Prof. Linlin Pan, the chief meteorologist at the China Electric Power Research Institute (CEPRI), is a member of the Energy Meteorology Committee of the Chinese Society of Electrical Engineering, and the chief engineer at the National Key Laboratory of Renewable Energy specializes in 'Multi-temporal and Spatial Scale Forecasting Theory, Methods, and System Construction for Renewable Energy Resources and Power'. He holds a PhD in Meteorology from the University of Hawaii and Master's and Bachelor's degrees in Atmospheric Physics from Peking University. Previously, he served as a research scientist at the Global Laboratory of the National Oceanic and Atmospheric Administration (NOAA) and the Applied Research Laboratory of the National Center for Atmospheric Research (NCAR). His primary research interests include energy meteorology data assimilation, numerical simulation, and physical mechanism studies. He has developed and refined the world's leading numerical model system for weather forecasting and resource simulation, which has been adopted as a national operational  forecasting system.

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