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All issues Volume 716 (2026) E3S Web Conf., 716 (2026) 01037 References
Open Access
Issue
E3S Web Conf.
Volume 716, 2026
The 12th International Conference on Indoor Air Quality, Ventilation & Energy Conservation in Buildings (IAQVEC 2026)
Article Number 01037
Number of page(s) 7
Section Indoor Air Quality and Ventilation
DOI https://doi.org/10.1051/e3sconf/202671601037
Published online 09 June 2026
  1. P. Michalak, Thermal-Airflow Coupling in Hourly Energy Simulation of a Building with Natural Stack Ventilation, Energies 15, 4175 (2022). https://doi.org/10.3390/en15114175 [Google Scholar]
  2. I. Sarna, J. Ferdyn-Grygierek, Natural ventilation for thermal comfort: a simulation-based comparison of manual and automated window control strategies in temperate climate housing, Build. Environ. 285, 113551 (2025). https://doi.org/10.1016/j.buildenv.2025.113551 [Google Scholar]
  3. D.W. Etheridge, Unsteady flow effects due to fluctuating wind pressures in natural ventilation design-mean flow rates, Build. Environ. 35, 111133 (2000). https://doi.org/10.1016/S0360-1323(99)00007-4 [Google Scholar]
  4. B. Wang, Interaction Between Wind-driven And Buoyancy-driven Natural Ventilation, in: IBPSA, 259-266 (2013). https://doi.org/10.26868/25222708.2013.1396 [Google Scholar]
  5. K. Choi, S. Park, J. Joe, S.-I. Kim, J.-H. Jo, E.-J. Kim, Y.-H. Cho, Review of infiltration and airflow models in building energy simulations for providing guidelines to building energy modelers, Renew. Sustain. Energy Rev. 181, 113327 (2023). https://doi.org/10.1016/j.rser.2023.113327 [Google Scholar]
  6. M.W. Liddament, C. Allen, The Validation and Comparison of Mathematical Models of Air Infiltration, AIVC Tech. Note 11 (1983). https://www.aivc.org/resource/tn-11-validation-and-comparison-mathematical-models-air-infiltration (accessed January 6, 2026) [Google Scholar]
  7. G. Bastos Porsani, N. Casquero-Modrego, J.B. Echeverria Trueba, C. Fernàndez Bandera, Empirical evaluation of EnergyPlus infiltration model for a case study in a high-rise residential building, Energy Build. 296, 113322 (2023). https://doi.org/10.1016/j.enbuild.2023.113322 [Google Scholar]
  8. A. Malkawi, B. Yan, Y. Chen, Z. Tong, Predicting thermal and energy performance of mixed-mode ventilation using an integrated simulation approach, Build. Simul. 9, 335-346 (2016). https://doi.org/10.1007/s12273-016-0271-x [Google Scholar]
  9. L. Garlet, C.A. Dias, J. O’Donnell, A.P. Melo, Enriching BIM-BEPS workflows to support natural ventilation simulations using AirflowNetwork, Energy Build. 347, 116295 (2025). https://doi.org/10.1016/j.enbuild.2025.116295 [Google Scholar]
  10. W.S. Dols, S.J. Emmerich, B.J. Polidoro, Coupling the multizone airflow and contaminant transport software CONTAM with EnergyPlus using cosimulation, Build. Simul. 9, 469-479 (2016). https://doi.org/10.1007/s12273-016-0279-2 [Google Scholar]
  11. M. Justo Alonso, W.S. Dols, H.M. Mathisen, Using Co-simulation between EnergyPlus and CONTAM to evaluate recirculation-based, demand-controlled ventilation strategies in an office building, Build. Environ. 211, 108737 (2022). https://doi.org/10.1016/j.buildenv.2021.108737 [Google Scholar]
  12. I. Khalifa, L. Gharbi Ernez, E. Znouda, C. Bouden, Coupling TRNSYS 17 and CONTAM: simulation of a naturally ventilated double-skin façade, Adv. Build. Energy Res. 9, 293-304 (2015). https://doi.org/10.1080/17512549.2015.1050694 [Google Scholar]
  13. M. Alonso, W.S. Dols, H.M. Mathisen, Using cosimulation between EnergyPlus and CONTAM to develop IAQ and energy-centric demand-controlled ventilation systems, in: Maria Alonso, William Stuart Dols, Hans M. Mathisen, Ghent, BE (2019). https://www.nist.gov/publications/using-co-simulation-between-energyplus-and-contam-develop-iaq-and-energy-centric-demand (accessed January 6, 2026) [Google Scholar]
  14. J. Ferdyn-Grygierek, K. Grygierek, Towards Climate-Resilient Dwellings: A Comparative Analysis of Passive and Active Retrofit Solutions in Aging Central European Housing Stock, Energies 18, 4386 (2025). https://doi.org/10.3390/en18164386 [Google Scholar]
  15. J. Ferdyn-Grygierek, K. Grygierek, Ventilation Methods for Improving the Indoor Air Quality and Energy Efficiency of Multi-Family Buildings in Central Europe, Energies 17, 2232 (2024). https://doi.org/10.3390/en17092232 [Google Scholar]
  16. W.S. Dols, B.J. Polidoro, CONTAM User Guide and Program Documentation Version 3.4, National Institute of Standards and Technology (2020). https://doi.org/10.6028/NIST.TN.1887r1 [Google Scholar]
  17. G. Bastos Porsani, N. Casquero-Modrego, J.B. Echeverria Trueba, C. Fernandez Bandera, Empirical evaluation of EnergyPlus infiltration model for a case study in a high-rise residential building, Energy Build. 296, 113322 (2023). https://doi.org/10.1016/j.enbuild.2023.113322 [Google Scholar]
  18. Engineering Reference:, EnergyPlus TM, US Department of Energy, Washington, DC, USA, (2020) [Google Scholar]
  19. ASHRAE. Guideline 14-2014: Measurement of Energy and Demand Savings, ASHRAE: Atlanta, GA, USA (2014) [Google Scholar]
  20. ASHRAE Handbook, Fundamentals, SI ed.; American Society of Heating, Refrigerating and Air Conditioning Engineers: Atlanta, GA, USA (2001) [Google Scholar]
  21. J.B Dickinson, H.E. Feustel,: Seasonal variation in effective leakage area, Technical report, Lawrence Berkeley Lab., CA, USA (1985). https://www.osti.gov/biblio/5544870 (accessed January 6, 2026) [Google Scholar]

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