Dr. Yuebin Yu

University of Nebraska-Lincoln, USA

Assistant Professor

Email: [email protected]

Qualifications

2012 Ph.D., Carnegie Mellon University, Building Performance and Diagnostics

2008 M.Sc., University of Nebraska-Lincoln, Architectural Engineering

2003 M.Sc., Hunan University (China), Heating Ventilation and Air-Conditioning Engineering

Publications(selected)

1. Wang, P., Li, J., & Yoon, S., et al. (2023). Automated fault detection strategy on virtual in-situ calibration building energy system: Partition of calibration domain.
2. Yoon, S., Yu, Y., & Li, H., et al. (2022). Improved energy balance calculation of unitary air conditioners via virtual in-situ calibration. Journal of Building Engineering, 45, Article 103464.
3. Ling, L., Zhang, Q., & Yu, Y., et al. (2021). A state-of-the-art review on the application of heat pipe system in data centers. Applied Thermal Engineering, 199, Article 117618.
4. Li, J., Zhao, T., & Wang, P., et al. (2020). Effects of various partitions on the accuracy of virtual in-situ calibration in building energy systems. Journal of Building Engineering, 32, Article 101538.
5. Wang, P., Li, J., & Yoon, S., et al. (2020). The detection and correction of various faulty sensors in a photovoltaic thermal heat pump system. Applied Thermal Engineering, 175, Article 115347.
6. Zou, S., Zhang, Q., & Yu, Y., et al. (2019). Field study on the self-adaptive capacity of multi-split heat pipe system (MSHPS) under non-uniform conditions in data center. Applied Thermal Engineering, 160, Article 113999.
7. Behfar, A., Yuill, D., & Yu, Y. (2019). Automated fault detection and diagnosis for supermarkets–method selection, replication, and applicability. Energy and Buildings, 198, 520–527.
8. Wang, P., Yoon, S., & Wang, J., et al. (2019). Automated reviving calibration strategy for virtual in-situ sensor calibration in building energy systems: Sensitivity coefficient optimization. Energy and Buildings, 198, 291–304.
9. Wang, P., Han, K., & Ma, L., et al. (2019). The optimization of sensitivity coefficients for the virtual in situ sensor calibration in a LiBr–H2O absorption refrigeration system. In Proceedings of the International Symposium on Heating, Ventilation and Air Conditioning.
10. Yoon, S., Yu, Y., & Wang, J., et al. (2019). Impacts of HVACR temperature sensor offsets on building energy performance and occupant thermal comfort. Building Simulation, 12(2), 259–271.
11. Wang, J., Zhang, Q., & Yoon, S., et al. (2019). Reliability and availability analysis of a hybrid cooling system with water-side economizer in data center. Building and Environment, 148, 405–416.
12. Wang, J., Zhang, Q., & Yoon, S., et al. (2019). Impact of uncertainties on the supervisory control performance of a hybrid cooling system in data center. Building and Environment, 148, 361–371.
13. Wang, P., Yoon, S., & Yu, Y., et al. (2019). Experimental study on the active enhancement mechanisms of heat and mass transfer in an absorption chiller (RP-1462). Science and Technology for the Built Environment, 25(1), 58–68.
14. Behfar, A., Yuill, D., & Yu, Y. (2018). Supermarket system characteristics and operating faults (RP-1615). Science and Technology for the Built Environment, 24(10), 1104–1113.
15. Yoon, S., & Yu, Y. (2018). Strategies for virtual in-situ sensor calibration in building energy systems. Energy and Buildings, 172, 22–34.
16. Yoon, S., & Yu, Y. (2018). Hidden factors and handling strategy for accuracy of virtual in-situ sensor calibration in building energy systems: Sensitivity effect and reviving calibration. Energy and Buildings, 170, 217–228.
17. Wang, P., Han, K., & Yoon, S., et al. (2018). The gas-liquid two-phase flow in reciprocating enclosure with piston cooling gallery application. International Journal of Thermal Sciences, 129, 73–82.
18. Wang, J., Zhang, Q., & Yu, Y., et al. (2018). Application of model-based control strategy to hybrid free cooling system with latent heat thermal energy storage for TBSs. Energy and Buildings, 167, 89–105.
19. Yoon, S., & Yu, Y. (2018). Hidden factors and handling strategies on virtual in-situ sensor calibration in building energy systems: Prior information and cancellation effect. Applied Energy, 212, 1069–1082.
20. Ling, L., Zhang, Q., & Yu, Y., et al. (2018). Energy saving analysis of the cooling plant using lake water source base on the optimized control strategy with set points change. Applied Thermal Engineering, 130, 1440–1449.

Profile Details

https://scholar.google.com/citations?user=B2YWOx8AAAAJ&hl=en
https://www.researchgate.net/profile/Yuebin-Yu
https://un-lincoln.academia.edu/yuebinyu

WOS ResearcherID: E-8672-2010