CV

Education

• BEng (Built Environment) (2020), Tsinghua University, China
• BEcon (Economics, dual-degree) (2020), Peking University, China
• Ph.D (Urban Building Energy Modeling) (2025, expected), Tsinghua University, China

Work experience

• Aug 2019 - Sep 2019: Exchange Student
  • Department of Buildings, National University of Singapore
  • Duties included: Sensitivity analysis and bayesian calibration on building energy models
  • Supervisor: Dr. Adrian Chong
• Jan 2023 - May 2023: Visiting PhD Student
  • Department of the Built Environment, National University of Singapore
  • Duties included: Sensitivity analysis and bayesian calibration on building energy models
  • Supervisor: Dr. Adrian Chong

Skills

• Building Performance Simulation (DeST, EnergyPlus)
• Programming (Python, R, C++)
• GIS
• LaTeX, MS Office

Publications

Impacts of uncertainty in building envelope thermal transmittance on heating/cooling demand in the urban context

Liu, Z., Zhou, X., Tian, W., Liu, X., & Yan, D. (2022). Impacts of uncertainty in building envelope thermal transmittance on heating/cooling demand in the urban context. Energy and Buildings, 273, 112363.

Integrated physical approach to assessing urban-scale building photovoltaic potential at high spatiotemporal resolution

Liu, Z., Liu, X., Zhang, H., & Yan, D. (2023). Integrated physical approach to assessing urban-scale building photovoltaic potential at high spatiotemporal resolution. Journal of Cleaner Production, 135979.

Exploring the impacts of heterogeneity and stochasticity in air-conditioning behavior on urban building energy models

Liu, Z., Dou, Z., Chen, H., Zhang, C., Wang, S., Wu, Y., ... & Yan, D. (2024). Exploring the impacts of heterogeneity and stochasticity in air-conditioning behavior on urban building energy models. Sustainable Cities and Society, 105285.

A novel acceleration approach to shadow calculation based on sunlight channel for urban building energy modeling

Liu, Z., Zhou, X., Shen, X., Sun, H., & Yan, D. (2024). A novel acceleration approach to shadow calculation based on sunlight channel for urban building energy modeling. Energy and Buildings, 114244.