E3S Web Conf.
Volume 362, 2022BuildSim Nordic 2022
|Number of page(s)||6|
|Published online||01 December 2022|
- American Society of Heating, Refrigerating and AirConditioning Engineers (2016). Ventilation for Acceptable Indoor Air Quality (ASHRAE Standard 62.1). [Google Scholar]
- Asif, A., Zeeshan, M. and Jahanzaib, M. (2018). Indoor temperature, relative humidity and CO2 levels assessment in academic buildings with different heating, ventilation and air-conditioning systems. Building and Environment 133, 83–90. [CrossRef] [Google Scholar]
- Carlos, J., Corvacho, H., Silva, P. and Castro-Gomes, J. (2011). Modelling and simulation of a ventilated double window. Applied Thermal Engineering 31(1), 93–102. [CrossRef] [Google Scholar]
- Conceição E., Silva M. and Viegas D. (1997). Air quality inside the passenger compartment of a bus. Journal of Exposure Analysis and Environmental Epidemiology 7(4), 521–534. [Google Scholar]
- Conceição, E., Lúcio, M.M., Ruano, A. and Crispim, E. (2009) Development of an temperature control model used in HVAC systems in school spaces in mediterranean climate, Building and environment, 44(5), 871–877. [CrossRef] [Google Scholar]
- Conceição, E. and Lúcio, M. (2010). Numerical study of the influence of opaque external trees with pyramidal shape in the thermal behaviour of a school building in summer conditions. Indoor and Built Environment 19(6), 657–667. [CrossRef] [Google Scholar]
- Conceição, E., Nunes, A., Gomes J., and Lúcio, M.M. (2010). Application of a School Building Thermal Response Numerical Model in the Evolution of the Adaptive Thermal Comfort Level in the Mediterranean Environment. International Journal of Ventilation 9(3). [Google Scholar]
- Conceição E., Santiago C., Lúcio M. and Awbi H. (2018). Predicting the air quality, thermal comfort and draught risk for a virtual classroom with desk-type personalised ventilation systems. Buildings 8, 35. [CrossRef] [Google Scholar]
- Conceição E., Gomes J. and Awbi H. (2019). Influence of the airflow in a solar passive building on the indoor air quality and thermal comfort levels. Atmosphere 10(12), 766. [CrossRef] [Google Scholar]
- Fanger, P. (1970). Thermal comfort: Analysis and applications in environmental engineering. Danish Technical Press. Copenhagen (Denmark). [Google Scholar]
- Fatnassi, S., Abidi-Saad, A., Maad, R. and Polidori, G. (2018). Numerical study of spacing and alternation effects of parietal heat sources on natural convection flow in a DSF-channel: application to BIPV. International Journal of Heat and Mass Transfer 54, 3617–3629. [CrossRef] [Google Scholar]
- Ghaffarianhoseini, A., Ghaffarianhoseini, A., Berardi, U., Tookey, J., Li, D. and Kariminia, S. (2016). Exploring the advantages and challenges of double-skin façades (DSFs). Renewable and Sustainainable Energy Reviews 60, 1052–1065. [Google Scholar]
- Hashemi, N., Fayaz, R. and Sarshar, M. (2010). Thermal behaviour of a ventilated double skin façade in hot arid climate. Energy and Buildings 42(10), 1823–1832. [CrossRef] [Google Scholar]
- Hazem, A., Ameghchouche, M. and Bougriou, C. (2015). A numerical analysis of the air ventilation management and assessment of the behavior of double skin facades. Energy and Buildings 102, 225–236. [CrossRef] [Google Scholar]
- International Organisation for Standardisation (2005). Ergonomics of the thermal environments - analytical determination and interpretation of thermal comfort using calculation of the PMV and PPD indices and local thermal comfort criteria (ISO 7730). [Google Scholar]
- Kuznik, F., Catalina, T., Gauzere, L., Woloszyn, M. and Roux, J.-J. (2011). Numerical modelling of combined heat transfers in a double skin façade - Full-scale laboratory experiment validation. Applied Thermal Engineering 31, 3043–3054. [CrossRef] [Google Scholar]
- Laverge, J., Van Den Bossche, N., Heijmans, N. and Janssens, A. (2011). Energy saving potential and repercussions on indoor air quality of demand controlled residential ventilation strategies. Building and Environment 46, 1497–1503. [CrossRef] [Google Scholar]
- Lee, J. and Chang, D. (2015). Influence on vertical shading device orientation and thickness on the natural ventilation and acoustical performance of a double skin façade. Procedia Engineering 118, 304–309. [Google Scholar]
- Lee, J., Alshayeb, M. and Chang, D. (2015). A study of shading device configuration on the natural ventilation efficiency and energy performance of a double skin façade. Procedia Engineering 118, 310–317. [Google Scholar]
- Li, Y., Darkwa, J. and Su, W. (2019). Investigation on thermal performance of an integrated phase change material blind system for double skin façade buildings. Energy Procedia 158, 5116–5123. [CrossRef] [Google Scholar]
- Parra, J., Guardo, A., Egusquiza, E. and Alavedra, P. (2015). Thermal performance of ventilated double skin façades with venetian blinds. Energies 8, 4882–4898. [CrossRef] [Google Scholar]
- Poirazis, H. (2004). Double skin façades for office buildings - literature review. Report EBD-R--04/3. Department of Construction and Architecture, Lund University (Sweden). [Google Scholar]
- Shameri, M., Alghoul, M., Sopian, K., Zain, M. and Elayeb, O. (2011). Perspectives of double skin façade systems in buildings and energy saving. Renewable and Sustainable Energy Reviews 15(3), 1468–1475. [Google Scholar]
- Wang, Y., Chen, Y. and Li, C. (2019). Airflow modeling based on zonal method for natural ventilated double skin façade with Venetian blinds. Energy and Buildings 191, 211–223. [CrossRef] [Google Scholar]
- Zhang, T. and Yang, H. (2019). Flow and heat transfer characteristics of natural convection in vertical air channels of double-skin solar façades. Applied Energy 242, 107–120. [CrossRef] [Google Scholar]
- Ziasistani, N. and Fazelpour, F. (2019). Comparative study of DSF, PV-DSF and PV-DSF/PCM building energy performance considering multiple parameters. Solar Energy 187, 115–128. [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.