Biography

Prof. Yunho Hwang

Department of Mechanical Engineering

University of Maryland, USA


Email: [email protected]


Qualifications

1997  Ph.D., Mechanical Engineering, University of Maryland, USA

1995  M.Sc., Mechanical Engineering, University of Maryland, USA

1983  B.Sc., Mechanical Engineering, Korea University, Seoul, Korea


Publications (Selected)

  1. Wan, H., Zhang, J., & Hwang, Y. (2025). Enhancing building resilience in cold climates: Integrating heat pump technologies with renewable energy. Energy Research & Social Science, 127, 104168.
  2. Shamim, J. A., Nawaz, K., Hu, M. H., Pasqualin, P., Krishnan, E. N., Kowalski, S. P., ... & Daiguji, H. (2025). Review of the potential and challenges of MOF-based adsorption heat pumps for sustainable cooling and heating in the buildings. Energy, 135846.
  3. Hsu, P. C., Gao, L., & Hwang, Y. (2025). Comparative study of LSTM and ANN models for power consumption prediction of variable refrigerant flow (VRF) systems in buildings. International Journal of Refrigeration, 169, 55-68.
  4. Mevada, H., Liu, B., Gao, L., Hwang, Y., Takeuchi, I., & Radermacher, R. (2024). Elastocaloric cooling: A pathway towards future cooling technology. International Journal of Refrigeration, 162, 86-98.
  5. Baker, J., Cao, L., Hwang, Y., Wang, C., & Radermacher, R. (2023). Performance investigation of an electrochemical ammonia compressor stack. International Journal of Refrigeration, 153, 67-77.
  6. Emaikwu, N., Catalini, D., Muehlbauer, J., Hwang, Y., Takeuchi, I., & Radermacher, R. (2023). Experimental investigation of a staggered-tube active elastocaloric regenerator. International Journal of Refrigeration, 153, 370-377.
  7. Qian, S., Catalini, D., Muehlbauer, J., Liu, B., Mevada, H., Hou, H., ... & Takeuchi, I. (2023). High-performance multimode elastocaloric cooling system. Science, 380(6646), 722-727.
  8. Kim, T., Lee, C. Y., Hwang, Y., & Radermacher, R. (2022). A review on nearly isothermal compression technology. International Journal of Refrigeration, 144, 145-162.
  9. Tancabel, J., Aute, V., Klein, E., Lee, C. Y., Hwang, Y., Ling, J., ... & Radermacher, R. (2022). Multi-scale and multi-physics analysis, design optimization, and experimental validation of heat exchangers utilizing high performance, non-round tubes. Applied Thermal Engineering, 216, 118965.
  10. Lin, L., Gao, L., Kedzierski, M. A., & Hwang, Y. (2022). A general model for flow boiling heat transfer in microfin tubes based on a new neural network architecture. Energy and AI, 8, 100151.
  11. Gao, L., Cao, T., Hwang, Y., & Radermacher, R. (2022). Robustness analysis in supercritical CO2 power generation system configuration optimization. Energy, 242, 122956.
  12. Gao, L., Liu, T., Cao, T., Hwang, Y., & Radermacher, R. (2021). Comparing deep learning models for multi energy vectors prediction on multiple types of building. Applied Energy, 301, 117486.
  13. Wan, H., Cao, T., Hwang, Y., Radermacher, R., Andersen, S. O., & Chin, S. (2021). A comprehensive review of life cycle climate performance (LCCP) for air conditioning systems. International Journal of Refrigeration, 130, 187-198.
  14. Gao, L., Cao, T., Hwang, Y., & Radermacher, R. (2021). Graph-based configuration optimization for S-CO2 power generation systems. Energy Conversion and Management, 244, 114448.


Profile Details

https://me.umd.edu/clark/faculty/549/Yunho-Hwang

https://scholar.google.com/citations?user=OC95HmsAAAAJ&hl=en

https://www.researchgate.net/profile/Yunho-Hwang

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