Mr. Bin Du | AI Application in Renewable Energy Award | Outstanding Research and Development Award
Mr. Bin Du, Southeast University, China
Dr. Bin Du, with a Ph.D. in Engineering Thermophysics and an M.S. in Refrigeration and Cryogenics from Southeast University, China, brings a wealth of expertise to the realms of energy and environmental engineering. Currently affiliated with Southeast University, his research delves into heat transfer, solar energy utilization, computational fluid dynamics, and the integration of artificial intelligence in engineering. With a robust skill set encompassing Python, JavaScript, HTML, CSS, R, GIS, SQL, and various statistical and machine learning methods, Dr. Du is a versatile researcher contributing significantly to the advancement of sustainable technologies.
Professional Profile:
๐ Education:
- Ph.D. in Engineering Thermophysics from Southeast University, China (2007)
- M.S. in Refrigeration and Cryogenics from Southeast University, China (2002)
๐ผ Experience:
Dr. Du Bin has extensive experience in research and academia, contributing significantly to various projects related to energy and environmental engineering. Currently affiliated with Southeast University, he has been involved in several research projects focusing on heat transfer, solar energy utilization, and thermal engineering. Additionally, he has served as a reviewer for prestigious academic journals and has contributed to research reports and publications.
๐ฌ Research Focus:
Dr. Du’s research interests include heat transfer, solar energy utilization, computational fluid dynamics, and artificial intelligence applications in engineering.
๐ Skills:
His expertise spans across Python, JavaScript, HTML, CSS, R, GIS, SQL, and various statistical and machine learning methods.
Scopus Metrics:
- ๐ย Publications: 16 documents indexed in Scopus.
- ๐ย Citations: A total of 297 citations for his publications, reflecting the widespread impact and recognition of Mr. Bin Duโs research within the academic community.
Publications Top Notes :
- Comparative study of modelling the thermal efficiency of a novel straight through evacuated tube collector with MLR, SVR, BP and RBF methods
- Published in Sustainable Energy Technologies and Assessments in 2021.
- Contributors: Du, B., Lund, P.D., Wang, J., Kolhe, M., Hu, E.
- Cited by 22 articles.
- Combining CFD and artificial neural network techniques to predict the thermal performance of all-glass straight evacuated tube solar collector
- Published in Energy in 2021.
- Contributors: Du, B., Lund, P.D., Wang, J.
- Cited by 23 articles.
- Straight-through all-glass evacuated tube solar collector for low and medium temperature applications
- Published in Solar Energy in 2020.
- Contributors: Gong, J.-H., Jiang, Z., Luo, X.-F., Wang, J., Lund, P.D.
- Cited by 25 articles.
- An experimental platform for heat pipe solar collector testing
- Published in Renewable and Sustainable Energy Reviews in 2013.
- Contributors: Du, B., Hu, E., Kolhe, M.
- Cited by 44 articles.
- Performance analysis of water cooled concentrated photovoltaic (CPV) system
- Published in Renewable and Sustainable Energy Reviews in 2012.
- Contributors: Du, B., Hu, E., Kolhe, M.
- Cited by 150 articles.