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Dongxu Han, male, born in 1988, Heze, Shandong, Ph.D., Associate Professor, Master’s Supervisor, Deputy Director of the Office of Science and Technology. He received his B.S. degree from Southwest Petroleum University in 2011 and his Ph.D. degree from China University of Petroleum (Beijing) in 2016. Since September 2016, he has worked in the Department of Energy and Power Engineering, School of Mechanical Engineering, Beijing Institute of Petrochemical Technology.

His research focuses on numerical modeling and simulation of energy systems, with particular emphasis on oil & gas transportation, geothermal energy, hydrogen energy, and cryogenic measurement technologies.

Email: handongxubox@bipt.edu.cn

 

Ⅰ. Research Interests

1. New-energy-driven oil and gas production, transportation, and storage technologies
2. Numerical simulation of oil, gas, and new-energy pipeline transportation systems
3. Key technologies for hydrogen storage, transportation, and refueling
4. Development of numerical simulation software
5. Cryogenic metrology and equipment development

 

Ⅱ. Research Projects

1. Mechanism of heat extraction enhancement in enhanced geothermal systems based on the synergistic effects of liquid nitrogen cold shock and chemical stimulation, National Natural Science Foundation of China (General Program), 2024–present, Principal Investigator.
2. Research on constant-temperature gas refractive-index-based pressure measurement and control, National Key R&D Program of China, 2023–present, Principal Investigator.
3. Key factors for international comparison of the quantum metrology system in the range of 5–24.5 K, Beijing Municipal Science and Technology Program, 2023–present, Co-Principal Investigator.
4. Equation-free numerical modeling of shale gas reservoirs considering non-Darcy effects, National Natural Science Foundation of China, 2017–2020, Principal Investigator.
5. Simulation technology for start-up and shutdown flow behavior in complex heated crude oil pipelines, Commissioned Project of China Oil & Gas Pipeline Network Corporation, 2024, Principal Investigator.
6. Radial temperature field modeling and efficient cooling prediction methods for hot oil pipelines during shutdown, Commissioned Project of China Oil & Gas Pipeline Network Corporation, 2023, Principal Investigator.
7. Numerical simulation services for international comparison devices in ultra-cryogenic temperature ranges, Commissioned Project of the Institute of Physics and Chemistry, Chinese Academy of Sciences, 2022, Principal Investigator.

 

Ⅲ. Representative Publications

1. Jiao, K., Han, D*., Chen, Y., Bai, B., Yu, B., & Wang, S. (2024). The enriched-embedded discrete fracture model (nEDFM) for fluid flow in fractured porous media. Advances in Water Resources, 184, 104610.
2. Zhang, W., Han, D*., Wang, B., Chen, Y., Jiao, K., Gong, L*., & Yu, B. (2024). Research on the solution of the thermo-hydro-mechanical-chemical coupling model based on the unified finite volume method framework. Thermal Science and Engineering Progress, 55, 102889.
3. Zhai, Q., Han, D*., Wang, Q., Chen, Y., Wang, B., Chen, Y., ... & Yu, B. (2024). A novel pump-thermal synergistic pressurization process for an efficient liquid hydrogen refueling station system. International Journal of Hydrogen Energy, 83, 1087-1098.
4. Han, D., Li, Y., Jiao, K., Chen, Y., Wang, B., & Yu, B*. (2024). A novel preheating system in pressure reduction stations—natural gas directly flowing inside deep borehole heat exchangers. Journal of Cleaner Production, 469, 143190.
5. Jiao, K., Han, D*., Wang, B., Chen, Y., Bai, B., Gong, L., & Yu, B. (2023). Pore-scale modeling of thermal-hydro-mechanical-chemical coupled rock dissolution and fracturing process. Journal of Cleaner Production, 421, 138391.
6. Zhang, W., Han, D*., Wang, B., Chen, Y., Jiao, K., Gong, L*., & Yu, B. (2023). Thermal-hydraulic-mechanical-chemical modeling and simulation of an enhanced geothermal system based on the framework of extended finite element methods-Embedded discrete fracture model. Journal of Cleaner Production, 415, 137630.
7. Jiao, K., Han, D*., Wang, D., Chen, Y., Li, J., Gong, L., ... & Yu, B. (2022). Investigation of thermal-hydro-mechanical coupled fracture propagation considering rock damage. Computational Geosciences, 26(5), 1167-1187.
8. Jiao, K., Han, D*., Li, J., & Yu, B. (2022). Numerical simulations of polygonal particles settling within non-Newtonian fluids. Physics of Fluids, 34(7).
9. Jiao, K., Han, D*., Li, J., Bai, B*., Gong, L., & Yu, B. (2021). A novel LBM-DEM based pore-scale thermal-hydro-mechanical model for the fracture propagation process. Computers and Geotechnics, 139, 104418.
10. Li, T., Han, D*., Yang, F*., Li, J., Wang, D., Yu, B., & Wei, J. (2021). Modeling study of the thermal-hydraulic-mechanical coupling process for EGS based on the framework of EDFM and XFEM. Geothermics, 89, 101953.
11. Zhang, H., Li, T., Han, D*., Wang, D., Sun, D., & Yu, B. (2020). Study on a dual embedded discrete fracture model for fluid flow in fractured porous media. Computer Modeling in Engineering & Sciences, 124(1), 5-21.
12. Han, D., Li, T., Tang, Q., Yu, B., & Sun, D. (2020). A Galerkin‐free/equation‐free model reduction method for single‐phase flow in fractured porous media. Energy Science & Engineering, 8(6), 1997-2010.
13. Li, T., Han, D*., Yu, B., Li, J., & Sun, D. (2020). Study on a POD reduced-order model for steady-state flows in fractured porous media. International Communications in Heat and Mass Transfer, 112, 104489.
14. Li, T., Gao, Y., Han, D*., Yang, F*., & Yu, B. (2020). A novel POD reduced-order model based on EDFM for steady-state and transient heat transfer in fractured geothermal reservoir. International Journal of Heat and Mass Transfer, 146, 118783.
15. Han, D., Gao, B*., Chen, H., Gambette, P., Zhang, H., Pan, C., ... &Ercang, L*., Pitre, L. (2018). Ultra-stable pressure is realized for Chinese single pressure refractive index gas thermometry in the range 30–90 kPa. Sci. Bull, 63, 1601-3.
16. Han, D., Yuan, Q., Yu, B*., Cao, D., & Zhang, G. (2018). BFC-POD-ROM Aided Fast Thermal Scheme Determination for China’s Secondary Dong-Lin Crude Pipeline with Oils Batching Transportation. Energies, 11(10), 2666.
17. Han, D., Yu, B*., Chen, J., Wang, Y., & Wang, Y. (2015). POD reduced-order model for steady natural convection based on a body-fitted coordinate. International Communications in Heat and Mass Transfer, 68, 104-113.
18. Han, D., Yu, B*., Wang, P., Wang, Y., & Li, J. (2017). POD reduced-order model for steady laminar flow based on the body-fitted coordinate. Numerical Heat Transfer, Part B: Fundamentals, 71(6), 560-573.
19. Han, D., Yu, B*., Wang, Y., Zhao, Y., & Yu, G. (2015). Fast thermal simulation of a heated crude oil pipeline with a BFC-Based POD reduced-order model. Applied Thermal Engineering, 88, 217-229.
20. Han, D., Yu, B*., & Zhang, X. (2014). Study on a BFC-based POD-Galerkin reduced-order model for the unsteady-state variable-property heat transfer problem. Numerical Heat Transfer, Part B: Fundamentals, 65(3), 256-281.
21. Han, D., Yu*, B., Yu, G., Zhao, Y., & Zhang, W. (2014). Study on a BFC-based POD-Galerkin ROM for the steady-state heat transfer problem. International Journal of Heat and Mass Transfer, 69, 1-5.