Analysis of alternative ventilation strategies for existing multi-family buildings using CONTAM simulation software
E3S Web Conf., 172 (2020) 09004
Published online: 2020-06-30
Articles citing this article
The Citing articles tool gives a list of articles citing the current article.
The citing articles come from EDP Sciences database, as well as other publishers participating in CrossRef Cited-by Linking Program. You can set up your personal account to receive an email alert each time this article is cited by a new article (see the menu on the right-hand side of the abstract page).
Cited article:
This article has been cited by the following article(s):
Predicting indoor concentrations and chemical composition of outdoor-originated particulate matter with a CONTAM building model
Xinxiu Tian, Bryan E. Cummings, Michael S. Waring, Marianne F. Touchie, Ellis S. Robinson, Benjamin A. Nault and Peter F. DeCarloAerosol Science and Technology 59 (10) 1166 (2025)
https://doi.org/10.1080/02786826.2025.2521337
Airflow network modelling of a virtually renovated school to study the optimal design and regulation of ventilation systems in Iceland
Valþór Ingi Karlsson, Óli Þór Jónsson, Li Rong and T. WidströmE3S Web of Conferences 672 01004 (2025)
https://doi.org/10.1051/e3sconf/202567201004
Theoretical and experimental investigation of ventilation rates and their relation with IAQ and thermal comfort in university classrooms during SARS-COV-2 pandemic
Giannis Papadopoulos, Apostolos Nikolentzos, Evangelos I. Tolis and Giorgos PanarasIOP Conference Series: Earth and Environmental Science 1196 (1) 012094 (2023)
https://doi.org/10.1088/1755-1315/1196/1/012094
High‐rise residential building ventilation in cold climates: A review of ventilation system types and their impact on measured building performance
Justin Berquist, Noah Cassidy, Marianne Touchie, William O'Brien and Jamie FineIndoor Air 32 (11) (2022)
https://doi.org/10.1111/ina.13158
Preparation of an Indoor Air Quality Baseline Model for School Retrofitting Using Automated and Semi-Automated Calibrations: The Case Study in South Korea
Ho Jin Sung, Sean Hay Kim and Seung Yeoun ChoiBuildings 12 (9) 1449 (2022)
https://doi.org/10.3390/buildings12091449