Open Access
Issue
E3S Web of Conf.
Volume 396, 2023
The 11th International Conference on Indoor Air Quality, Ventilation & Energy Conservation in Buildings (IAQVEC2023)
Article Number 02041
Number of page(s) 4
Section Ventilation and Airflow in Buildings
DOI https://doi.org/10.1051/e3sconf/202339602041
Published online 16 June 2023
  1. M. Deru, K. Field, D. Studer, K. Benne, B. Griffith, P. Torcellini, B. Liu, M. Halverson, D. Winiarski, M. Rosenberg, U.S. Department of Energy Commercial Reference Building Models of the National Building Stock, NREL, (2011) [CrossRef] [Google Scholar]
  2. G.N. Walton, AIRNET - A Computer Program for Building Airflow Network Modelling, Nistir 89-4072 (1989) [Google Scholar]
  3. H. E. Feustel, H. A. Rayner, COMIS-fundamentals. LBL-28560, (1990) [Google Scholar]
  4. L. Y. Cooper, Calculation of the flow through a horizontal ceiling/floor vent. NIST (1989) [CrossRef] [Google Scholar]
  5. D. Lee, K. Ji, J. Jing, & J. Jo, Experimental study on elevator door reopening problems caused by stack induced pressure differences across the elevator door in buildings. Build. Environ., 221, 109271, (2022) [CrossRef] [Google Scholar]
  6. D. Song, S. Yoon, C. Jeong, J. Kim, & H. Lim, Heat, vapor, and CO2 transportation caused by airflow in high-rise residential buildings. Build. Environ., 160, 106176, (2019) [CrossRef] [Google Scholar]
  7. L. C. Ng, W. S. Dols, & S. J. Emmerich, Evaluating potential benefits of air barriers in commercial buildings using NIST infiltration correlations in EnergyPlus. Build. Environ., 196, 107783, (2021) [CrossRef] [Google Scholar]
  8. J. Bak & S. Yoon. Dwelling infiltration and heating energy demand in multifamily high-rise and low-energy buildings in Korea. Renew. Sustain. Energy Rev., 148, 111284, (2021) [CrossRef] [Google Scholar]
  9. L. C. Ng, N. O. Quiles, W. S. Dols, & S> J. Emmerich, Weather correlations to calculate infiltration rates for U. S. commercial building energy models. Build. Environ., 127, 4757, (2018) [Google Scholar]
  10. L. C. Ng, A. K. Persily, & S. J. Emmerich, Improving infiltration modeling in commercial building energy models. Energy Build., 88, 316323, (2015) [Google Scholar]
  11. D. W. Kim, Y. M. Kim, S. H. Lee, W. Y. Park, Y.J. Bok, S. K. Ha, and S. E. Lee, (2017), Development of Reference Building Energy Models for South Korea, in Proceedings of the Building Simulation 2017, ICAPP, 7-9 Aug 2017, San Francisco, CA, USA, (2017) [Google Scholar]
  12. H. K. Shin, A Calculation Method for Determining Air Infiltration of High-rise Buildings Based on Airtightness and Stack Effect Pressure, Inha University, Dissertation, (2018) [Google Scholar]

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.