Experimental Scientist at Zhejiang University, China
Dr. Yazhou Zhao is an Assistant Research Professor at the College of Energy Engineering, Zhejiang University, and Senior Experimental Scientist at the Key Laboratory of Refrigeration & Cryogenic Technology of Zhejiang Province. A core member of the AI-for-Energy Research Group, he leads projects at the intersection of renewable energy, artificial intelligence, and thermodynamic systems. He has developed the GKS physics simulator for generative-AI-assisted teaching and has contributed to numerous national and international energy projects, including collaborations with the Chinese Academy of Sciences, the Chinese Academy of Engineering, and government–industry programs in geothermal and heat pump technologies. With over 30 peer-reviewed journal publications, multiple patents, and recognition such as the Qianjiang Energy Science & Technology Award, his work focuses on intelligent control of energy systems, geothermal technologies, and digital-twin-based optimization. Dr. Zhao’s contributions align with global low-carbon and net-zero energy goals, positioning him as a leader in energy-efficient architecture and sustainable technologies.
Professional Profile
Scopus
Education
Dr. Yazhou Zhao has pursued a multidisciplinary academic path across engineering and computational sciences. He earned his Ph.D. from the University of the Chinese Academy of Sciences, specializing in Geological Engineering under the supervision of Academician Wang Jiyang and Professor Pang Zhonghe. His doctoral research focused on medium-depth ground-source heat pump systems and coupled thermal-reservoir simulations. Earlier, he completed his Master’s degree in Fluid Mechanics and Aerodynamics at the Institute of Applied Physics and Computational Mathematics, Beijing, conducting advanced research on aero-engine turbomachinery aerodynamics and Lagrangian mesh-free methods. His undergraduate studies were at Wuhan University of Science & Technology. where he earned a Bachelor’s degree in Built Environment & Equipment Engineering. This broad academic foundation across thermodynamics, numerical methods, and renewable energy systems underpins his innovative research in energy engineering and artificial intelligence for sustainable technologies.
Experience
Dr. Yazhou Zhao currently serves as an Experimental Scientist at Zhejiang University, where he advances research in intelligent energy systems and AI-driven simulations. Previously, he was a Postdoctoral Fellow at Zhejiang University, focusing on machine learning applications for building energy systems and multi-physics numerical simulations. His professional journey includes leadership as Principal Investigator on several major renewable energy projects funded by national and provincial programs, including geothermal system optimization and solar-assisted heating technologies. He has collaborated on international projects with partners in Finland and the Netherlands, addressing global challenges in carbon reduction and sustainable architecture. Beyond academia, he has contributed to government consulting projects on geothermal industry strategy and industrial energy-efficiency solutions. With his extensive project management, innovation in AI-assisted digital twins, and applied energy engineering expertise, Dr. Zhao has consistently translated theoretical advancements into practical applications across multiple sectors.
Research Focus
Dr. Yazhou Zhao’s research bridges thermodynamics, artificial intelligence, and renewable energy engineering. His primary focus is on the intelligent control of building energy systems, with an emphasis on time-varying and nonlinear HVAC systems. He has pioneered AI-driven approaches for fault detection, health monitoring, and decision-making in energy-efficient architecture. A major part of his work involves geothermal and ground-source heat pump technologies, where he has developed novel simulation models and strategies to optimize performance under diverse climatic conditions, particularly in hot-summer/cold-winter zones. His research also advances large-scale computational fluid dynamics (CFD), leveraging machine learning to improve turbulence modeling and thermodynamic simulations across multi-phase and multi-scale systems. Furthermore, Dr. Zhao has contributed to digital twin platforms, integrating physical models, AI, and experimental data for smart operation of complex energy infrastructures. His research is strategically aligned with global carbon neutrality initiatives, offering innovative pathways to sustainable energy transformation.
Awards and Honors
Dr. Yazhou Zhao ’s contributions have been recognized with multiple awards across academic, research, and coaching achievements. He received the Second Prize of the Qianjiang Energy Science & Technology Award for his groundbreaking project on IoT-based control of smart ground-source heat pump systems. During his early academic career, he won top prizes in national mathematics and modeling competitions, including First Prize in the National Undergraduate Mathematics Competition and honors at the COMAP Mathematical Contest in Modeling. Beyond his research, he has served as a coach, guiding teams to success in global competitions such as the S. T. Yau Science and Physics Awards and the HiMCM contest, securing multiple first prizes. His awards reflect both technical excellence and mentorship, underscoring his leadership in advancing the next generation of researchers while driving forward the field of renewable energy and energy-efficient systems.
Publication Top Notes
Title: An efficient hybrid model for thermal analysis of deep borehole heat exchangers
Authors: Zhao Y., Pang Z., Huang Y., Ma Z.
Summary: Proposes a hybrid model integrating analytical and numerical methods to improve efficiency in modeling deep borehole exchangers.
Title: A fast simulation approach to the thermal recovery characteristics of deep borehole heat exchanger after heat extraction
Authors: Zhao Y., Ma Z., Pang Z.
Summary: Introduces a rapid simulation method to evaluate thermal recovery of boreholes, enhancing geothermal system design.
Title: Heat transfer modeling on high-temperature charging and discharging of deep borehole heat exchanger with transient strong heat flux
Authors: Zhao Y., Qin X., Shi X.
Summary: Develops transient models for high-intensity borehole heat storage, addressing system performance at elevated conditions.
Title: Performance evaluation of solar and condensing heat recovery systems for air reheating and humidification in industrial buildings
Authors: Wu F., Huang X., Zhang L., Gao J., Sun Y., Zhao Y., Zhang X.
Summary: Evaluates hybrid solar and condensing heat recovery systems, showing improved efficiency in industrial HVAC applications.
Title: Study on the thermal imbalance characteristics and optimal operation strategy of ground source heat pump system in hot summer and cold winter areas
Authors: Zhao Y., Gao J., Wu F., Sun Y., Liu A., Yu Z., Zhang X.
Summary: Investigates thermal imbalance issues in ground-source systems, offering optimized operation strategies for challenging climates.
Conclusion
Dr. Yazhou Zhao demonstrates a strong blend of academic rigor, technological innovation, and leadership in renewable energy and intelligent building systems. His consistent research contributions, particularly in geothermal energy and advanced heat pump systems, are aligned with pressing global challenges such as carbon neutrality and energy efficiency. With further emphasis on international collaboration and broader dissemination of his work, he stands out as a highly suitable candidate for the Best Researcher Award.