Prof. Fangfang Li | Operational Scheduling of Hydro-Wind-Solar Multi-Energy Complementary Systems | Outstanding Scientist Award

Professor at China Agricultural University, China

Dr. Li Fang-Fang is a renowned professor at the College of Water Resources and Civil Engineering, China Agricultural University. With extensive expertise in water resources management, hybrid renewable energy systems, and climate change adaptation, Dr. Li has consistently advanced the frontiers of environmental and energy research. Her interdisciplinary approach and dedication to sustainable solutions have earned her widespread recognition in the scientific community.

👨‍🎓 Profile

Scopus

ORCID

🌟 Outstanding Scientist Award

Dr. Li Fang-Fang’s exceptional contributions to water resource engineering and renewable energy systems make her a fitting candidate for the “Outstanding Scientist Award.” Her visionary research on integrating hydropower with PV and wind, her innovative computational models, and her leadership in climate adaptation strategies have significantly advanced scientific knowledge and practical applications worldwide. Her impressive publication record in top-tier journals underscores her commitment to impactful, interdisciplinary science.

🎓 Education

Dr. Li received her Bachelor’s degree in Hydraulic & Hydrology Engineering from Tsinghua University in 2007. She continued her doctoral studies at Tsinghua University, completing her Ph.D. in 2012, with international exposure as a visiting scholar at National Tsinghua University in Taiwan and Cornell University in the U.S. Her educational journey has shaped her strong foundation in hydrological engineering and advanced computational modeling.

💼 Experience

After earning her doctorate, Dr. Li began her professional career with a joint postdoctoral appointment at China Three Gorges Corporation and Tsinghua University. She then joined China Agricultural University, progressing from Assistant Professor to full Professor, and also served as Associate Dean at Shihezi University. Currently, she is a visiting scholar at the University of Cambridge. Her diverse academic and leadership roles demonstrate her commitment to research excellence and academic development.

🔬 Research Interests

Dr. Li’s research focuses on computational modeling of multi-reservoir operations, ecological reservoir management, and sedimentation control. She has also pioneered studies on hybrid hydro-PV-wind energy systems, uncertainty analysis in hydro-PV-wind systems, and climate change impacts on hydrological processes. Her work integrates data mining, machine learning, and optimization algorithms to address critical environmental and energy challenges.

📝 Selected Publications

• In 2025, she published an article on the assessment of large-scale reservoirs’ impact on local precipitation in Water Resources Research.

• Also in 2025, she explored atmospheric water resources in the Middle East in Journal of Hydrometeorology.

• In 2024, she examined precipitation structures affecting drought and vegetation on the Qinghai-Tibet Plateau in Journal of Hydrology: Regional Studies.

• She led a study on multi-objective optimization for non-fossil energy structures in Energy (2024).

• In Water Resources Research (2024), she analyzed global atmospheric water capturability.

• She developed improved cloud forecasting techniques in Theoretical and Applied Climatology (2024).

• Her research on intelligent water quality monitoring using image analytics was published in Journal of Contaminant Hydrology (2023).

• She investigated solar irradiance forecasting combining image and sequence data in Journal of Renewable & Sustainable Energy (2023).

• In Science of the Total Environment (2022), she studied precipitation regimes in the Qinghai–Tibet Plateau.

• She designed a MATLAB GUI program for sediment and power optimization in Journal of Environmental Management (2022).

• She proposed hybrid cloud detection algorithms in Journal of Atmospheric and Oceanic Technology (2022).

• She discussed gravity energy storage potentials in Sustainable Energy Technologies & Assessments (2024).