International

Lee, K., Lim, H., Hwang, J., & Lee, D. (2025). Development of building benchmarking index for improving gross-floor-area-based energy use intensity. Energy and Buildings, 328, 115103. https://doi.org/10.1016/j.enbuild.2024.115103

Hwang, J., Lim, H., & Lim, J. (2024). Reducing uncertainty of building shape information in urban building energy modeling using Bayesian calibration. Sustainable Cities and Society, 116, 105895. https://doi.org/10.1016/j.scs.2024.105895

Lee, K., Lim, H., Hwang, J., & Lee, D. (2024). Evaluating missing data handling methods for developing building energy benchmarking models. Energy, 308, 132979. https://doi.org/10.1016/j.energy.2024.132979 

Lee, K., & Lim, H. (2024). Correlation analysis of building parameters according to ASHRAE Standard 90.1. Journal of Building Engineering, 82, 108130. https://doi.org/10.1016/j.jobe.2023.108130 

Choi, S., Lim, H., Lim, J., & Yoon, S. (2024). Retrofit building energy performance evaluation using an energy signature-based symbolic hierarchical clustering method. Building and Environment, 251, 111206. https://doi.org/10.1016/j.buildenv.2024.111206

Choi, Y., Jeong, E. S., Mun, J. H., Yang, K. H., Lee, S. J., & Lim, H. (2023). Thermal performance and condensation analysis of insulated concrete panels using a thermal-meta structure. Applied Thermal Engineering, 120761. https://doi.org/10.1016/j.applthermaleng.2023.120761

Lim, J., Ooka, R., & Lim, H. (2022). Multicollinearity issue for the parameterization of urban ventilation potential with urban morphology. Sustainable Cities and Society, 87, 104218. https://doi.org/10.1016/j.scs.2022.104218

Banks, A., Grist, C., Heller, J., & Lim, H. (2022). Field Measurement of Central CO2 Heat Pump Water Heater for Multifamily Retrofit. Sustainability, 14(13), 8048. https://doi.org/10.3390/su14138048

Park, S., Cai, Y., Lim, H., & Song, D. (2022). Analysis of vertical movement of particulate matter due to the stack effect in high-rise buildings. Atmospheric Environment, 279, 119113. https://doi.org/10.1016/j.atmosenv.2022.119113

Bak, J., Koo, J., Yoon, S., & Lim, H. (2022). Thermal Draft Load Coefficient for Heating Load Differences Caused by Stack-Driven Infiltration by Floor in Multifamily High-Rise Buildings. Energies, 15(4), 1386. https://doi.org/10.3390/en15041386

Lim, H., & Zhai, Z. J. (2022). Estimating unknown parameters of a building stock using a stochastic-deterministic-coupled approach. Energy and Buildings, 255, 111673. https://doi.org/10.1016/j.enbuild.2021.111673

Bak, J., Yoon, S., Song, D., Lim, H., & Kim, Y. S. (2020). Weather-driven infiltration and interzonal airflow in a multifamily high-rise building: Dwelling infiltration distribution. Building and Environment, 181, 107098. https://doi.org/10.1016/j.buildenv.2020.107098

Kim, J., Song, D., Kim, S., Park, S., Choi, Y., & Lim, H. (2020). Energy-saving potential of extending temperature set-points in a VRF air-conditioned building. Energies, 13(9), 2160. https://doi.org/10.3390/en13092160

Kim, J., Myoung, J., Lim, H., & Song, D. (2020). Efficiency gap caused by the input data in evaluating energy efficiency of low-income households’ energy retrofit program. Sustainability, 12(7), 2774. https://doi.org/10.3390/su12072774

Lim, H., Seo, J., Song, D., Yoon, S., & Kim, J. (2020). Interaction analysis of countermeasures for the stack effect in a high-rise office building. Building and Environment, 168, 106530. https://doi.org/10.1016/j.buildenv.2019.106530

Yoon, S., Song, D., Kim, J., Kim, J., Lim, H., & Koo, J. (2020). Identifying stack-driven indoor environmental problems and associated pressure difference in high-rise residential buildings: Airflow noise and draft. Building and Environment, 168, 106483. https://doi.org/10.1016/j.buildenv.2019.106483

Song, D., Yoon, S., Jeong, C., Kim, J., & Lim, H. (2019). Heat, vapor, and CO2 transportation caused by airflow in high-rise residential buildings. Building and Environment, 160, 106176. https://doi.org/10.1016/j.buildenv.2019.106176

Yoon, S., Song, D., Kim, J., & Lim, H. (2019). Stack-driven infiltration and heating load differences by floor in high-rise residential buildings. Building and Environment, 157, 366-379. https://doi.org/10.1016/j.buildenv.2019.05.006

Lim, H., & Zhai, Z. J. (2018). Influences of energy data on Bayesian calibration of building energy model. Applied Energy, 231, 686-698. https://doi.org/10.1016/j.apenergy.2018.09.156

Lim, H., & Zhai, Z. J. (2017). Comprehensive evaluation of the influence of meta-models on Bayesian calibration. Energy and Buildings, 155, 66-75. https://doi.org/10.1016/j.enbuild.2017.09.009

Lim, H., & Zhai, Z. J. (2017, October). Review on stochastic modeling methods for building stock energy prediction. In Building Simulation (Vol. 10, pp. 607-624). Tsinghua University Press. https://doi.org/10.1007/s12273-017-0383-y

Song, D., Lim, H., Lee, J., & Seo, J. (2014). Application of the mechanical ventilation in elevator shaft space to mitigate stack effect under operation stage in high-rise buildings. Indoor and Built Environment, 23(1), 81-91. https://doi.org/10.1177/1420326X13480055