Shandong university - China
AUTHOR PROFILE
RESEARCH FOCUS ON HYDROGEN-BASED MULTI-ENERGY SYSTEMS
GUANGYAO FAN is currently pursuing a PhD in Control Theory and Control Engineering at Shandong University. Their research interests primarily center around the intelligent optimization of hydrogen-based regional multi-energy systems and the hydrogen economy.
EDUCATIONAL JOURNEY
Prior to their doctoral studies, FAN completed an M.S. in Energy Power at North China Electric Power University (NCPU) from September 2020 to July 2023.
PUBLICATIONS AND RESEARCH CONTRIBUTIONS
FAN has made significant contributions to the field, publishing four SCI papers as first author or corresponding author. These publications include research on multi-time-space scale optimization for hydrogen-based regional multi-energy systems, collaborative optimization for renewable energy systems, energy management strategies for near-zero energy community energy supply systems, and multi-time scale operation optimization for community energy systems.
RESEARCH PUBLICATIONS
Notably, their papers have been published in high-impact journals such as Applied Energy, Energy, and Sustainable Cities and Society, showcasing their expertise in energy optimization and management.
ACADEMIC AFFILIATION
FAN is affiliated with the School of Control Science and Engineering at Shandong University, where they continue to advance research in the field of energy systems optimization.
CONTACT INFORMATION
For further inquiries, please contact GUANGYAO FAN via their academic institution at the School of Control Science and Engineering, Shandong University, China.
NOTABLE PUBLICATION
Multi-time-space scale optimization for a hydrogen-based regional multi-energy system
Adaptive energy optimization strategy of island renewable power-to-hydrogen system with hybrid electrolyzers structure 2024 (1)
Collaborative optimization method and energy-saving, carbon-abatement potential evaluation for nearly-zero energy community supply system with different scenarios 2023 (8)
Two-layer collaborative optimization for a renewable energy system combining electricity storage, hydrogen storage, and heat storage 2022 (24)
A novel distributed energy system combining hybrid energy storage and a multi-objective optimization method for nearly zero-energy communities and buildings 2022 (84)