Dan li | Smart Energy System | Research Excellence Award

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Dr. Dan li | Smart Energy System | Research Excellence Award

Dr. Dan li | China Three Gorges University | China

Dr. Dan Li is an accomplished researcher in intelligent energy systems, with a strong focus on optimal scheduling, risk measurement, and intelligent decision-making for multi-energy systems operating under a high proportion of renewable energy. His work addresses the increasing complexity and uncertainty of modern power grids by developing advanced computational approaches that integrate artificial intelligence with domain-specific physical principles. Through three significant completed and ongoing research projects, he has contributed to flexible resource regulation and control technology for new-energy pumped storage power stations, the development and application of key technologies for grid-connected performance testing and analysis of renewable energy stations, and the functional debugging and data-processing framework for intelligent network-source coordinated control and risk early-warning decision-making platforms. His key scientific contribution lies in accurately defining the physical constraints, operational limits, and security boundaries of unit commitment and economic dispatch problems, and translating these elements into optimization objectives and state spaces suitable for advanced algorithms. Dr. Li introduced a physics-informed exploration strategy for deep reinforcement learning by embedding prior knowledge, including power-flow equations and unit ramp-rate constraints, directly into the reward design, reducing invalid exploration and improving algorithmic convergence by over 50 percent. This approach demonstrates a powerful integration of domain expertise and advanced computational tools, contributing significantly to enhancing the reliability, efficiency, and intelligence of next-generation power systems. His published research, including his recent article on optimization solutions for power generation planning, reflects strong scientific rigor and technological relevance, reinforcing his position as a promising contributor to the advancement of intelligent and sustainable energy systems.

Profile: ORCID

Featured Publications

Li, D., Zhang, L., Mi, N., & Zhong, H. (2025). Optimization solution for unit power generation plan based on the integration of constraint identification and deep reinforcement learning. Processes.

 

Ziyodulla Yusupov | Renewable Energy | Editorial Board Member

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Prof. Dr. Ziyodulla Yusupov | Renewable Energy | Editorial Board Member

Professor | Karabuk University | Turkey

Prof. Dr. Ziyodulla Yusupov is a leading researcher in electrical power systems with a strong focus on optimization, intelligent control, microgrid operation, renewable energy integration, and electric vehicle–based energy solutions. His work centers on enhancing system reliability, improving energy efficiency, and advancing sustainable technologies for future power networks. He has played a key role in major international and national research initiatives, most notably the Uzbekistan–Belarus collaborative project (2024–2025) on decentralized electric vehicle charging systems, where he contributes to proposal development, intelligent scheduling strategies, system design, and annual research reporting. His earlier national projects span critical areas such as frequency-adjustable electric drives, resource-saving control modes, energy-efficient pump station operations for mining and agriculture, and the modeling and optimization of electric, hydraulic, and mechanical processes in pump systems. These projects highlight his long-standing expertise in energy management, dynamic system modeling, and the development of rational control principles that improve operational sustainability across industrial utilities. Prof. Yusupov’s research output includes widely cited publications on superconducting magnetic energy storage optimization, integrated photovoltaic systems for power system stability, renewable energy assessment, and the role of clean energy in reducing emissions. His work contributes to advancing the understanding of how renewable resources, storage technologies, and smart control systems can be harmonized to support resilient, low-carbon energy infrastructures. Through his extensive research contributions, collaborative projects, and sustained focus on innovation, he continues to influence the evolution of modern power systems and supports global efforts toward cleaner, smarter, and more efficient energy solutions.

Profile:  Scopus  |  ORCID  |  Google Scholar

Featured Publications

Khaleel, M., Yusupov, Z., Nassar, Y., El-Khozondar, H. J., Ahmed, A., & Alsharif, A. (2023). Technical challenges and optimization of superconducting magnetic energy storage in electrical power systems. e-Prime: Advances in Electrical Engineering, Electronics and Energy, 5, 100223.

Khaleel, M., Yusupov, Z., Ahmed, A., Alsharif, A., Nassar, Y., & El-Khozondar, H. (2023). Towards sustainable renewable energy. Applied Solar Energy, 59(4), 557–567.

Nassar, Y., El-Khozondar, H. J., Ghaboun, G., Khaleel, M., Yusupov, Z., … (2023). Solar and wind atlas for Libya. International Journal of Electrical Engineering and Sustainability, 27–43.

Khaleel, M., Yusupov, Z., Yasser, N., El-Khozondar, H., & Ahmed, A. A. (2023). An integrated PV farm to the unified power flow controller for electrical power system stability. International Journal of Electrical Engineering and Sustainability, 18–30.

Khaleel, M., Yusupov, Z., Alderoubi, N., Abdul_jabbar, R. L., Elmnifi, M., … (2024). Evolution of emissions: The role of clean energy in sustainable development. Challenges in Sustainability, 12(2), 122–135.

Yuming Yuan | Renewable Energy | Best Researcher Award

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Mr. Yuming Yuan | Renewable Energy | Best Researcher Award

Assistant Researcher at South China University of Technology, China

Dr. Yuan Yuming  is an Assistant Researcher at the School of Civil Engineering and Transportation, South China University of Technology . He earned his Ph.D. in Engineering from Harbin Engineering University in 2023, with international training at City University London . Specializing in wind turbine wake dynamics , he has led and contributed to multiple high-impact research projects funded by the NSFC and Guangdong Province, focusing on wake blockage effects and hybrid wake modeling. Dr. Yuan holds 5 patents related to wind energy innovation  and has published 4 SCI papers in top-tier journals such as Ocean Engineering. His work on hybrid wake methods has demonstrated up to 15.12% power gains in downstream turbines, significantly advancing offshore wind energy efficiency . He actively collaborates with renowned scholars and contributes to national labs, making him a rising talent in renewable energy research 🌱🔬.

Professional Profile

Scopus

🎓Academic Background

Dr. Yuan Yuming is currently serving as an Assistant Researcher at the School of Civil Engineering and Transportation, South China University of Technology. He earned his Doctorate in Engineering from Harbin Engineering University in December 2023, where he focused on ship and wind turbine engineering under the supervision of Professor Chao Wang. During his doctoral studies, he completed a joint training program at City University London, working with Professor Shiqiang Yan on numerical wave solvers. Dr. Yuan also holds a Master’s degree in Engineering from Harbin Engineering University and a Bachelor’s degree from Wuhan University of Technology. His research primarily explores wind turbine wake dynamics, wake blockage effects, and hybrid modeling techniques. He has led multiple nationally funded projects, holds five patents, and has published four SCI-indexed articles in reputable journals. His innovations have shown measurable performance gains in wind energy systems, establishing him as a promising figure in renewable energy research.

💼Professional Experience

Dr. Yuan Yuming is an Assistant Researcher at the School of Civil Engineering and Transportation, South China University of Technology, where he focuses on advanced wind energy systems and fluid dynamics. His professional journey includes leadership in nationally funded research projects such as the National Natural Science Foundation of China (NSFC) Youth Science Fund and the Guangdong Province General Program. His expertise lies in the study of wind turbine wake interactions, hybrid wake modeling, and blockage effects within turbine arrays. Dr. Yuan also contributes to a key consultancy project under the State Key Laboratory of Subtropical Architecture and Urban Science, where he researches dynamic characteristics of kinetic energy recovery systems. He has international collaborative experience through joint training at City University London and works closely with global experts in wave and wake modeling. With five patents and several high-impact publications, Dr. Yuan continues to drive innovation in renewable energy technologies.

🏅Awards and Honors

Dr. Yuan Yuming has been recognized for his contributions to renewable energy research through various prestigious awards and research grants. He is the recipient of the National Natural Science Foundation of China (NSFC) Youth Science Fund Project, which supports his work on wake blockage mechanisms in wind turbine arrays. Additionally, he was awarded a research grant under the General Program of the Natural Science Foundation of Guangdong Province for his investigation into wake evolution mechanisms. These competitive funding programs highlight the scientific merit and innovation in Dr. Yuan’s work. He also plays a key role in a major project funded by the State Key Laboratory of Subtropical Architecture and Urban Science, focusing on wind-wave integrated energy recovery systems. His research achievements, including patented technologies and publications in leading SCI journals, have positioned him as an emerging expert in wind energy engineering, earning recognition from both national institutions and international collaborators.

🔬Research Focus

Dr. Yuan Yuming’s research is centered on the advancement of wind energy systems, with a particular focus on wind turbine wake dynamics and energy efficiency optimization. His work explores the complex interactions between turbines in wind farms, especially the in-field blockage effect, which influences power output and overall farm performance. He has developed a hybrid wake modeling method that combines potential and viscous flow theories to accurately simulate wake behavior, particularly in offshore floating wind turbines. This method has been experimentally and numerically validated, demonstrating significant performance improvements, including a 15.12% power gain for downstream turbines. Dr. Yuan’s research also includes numerical simulation techniques, aeroelastic analysis, and the design of wind-wave energy recovery systems. His innovative approaches have led to five patents and multiple high-impact journal publications. His ongoing projects, funded by national and provincial science foundations, aim to further enhance the reliability and efficiency of renewable energy technologies.

📖Publication Top Notes

Analysis of the blade aeroelastic effect on the floating offshore wind turbine wake in a focusing wave with a hybrid model
Year: 2023

A hybrid wake method for simulating yaw tandem wind turbine
Year: 2023

Experimental and numerical validation of a hybrid method for modelling the wake flow of two in-line wind turbines
Year: 2023

A hybrid method for modelling wake flow of a wind turbine
Year: 2023

Numerical simulation and performance analysis of in-field blockage effect between wind turbines
Year: 2023

⚙️Conclusion

Dr. Yuan Yuming is a highly qualified candidate for the Best Researcher Award, particularly in the category of emerging researchers in renewable energy and engineering innovation. With a strong academic foundation including a Ph.D. in Engineering from Harbin Engineering University and international research experience at City University London, he has demonstrated outstanding research capabilities. His specialization in wind turbine wake dynamics has led to the development of an innovative hybrid wake method, validated through experimental and numerical analysis. He has served as PI/Co-PI on nationally funded projects, holds five patents in wind energy technology, and has published four SCI-indexed papers in reputable journals. His work has shown significant real-world impact, including a 15.12% power gain in downstream turbines, and he actively contributes to national laboratory research. His collaborations with global experts and leadership in technical innovation further affirm his suitability for this prestigious recognition.