Quantification methods of natural ventilated building performance in preliminary design

References

• Burhenne, S., & Jacob, D. (2008). Simulation models to optimize the energy consumption of buildings. In ICEBO - International Conference for Enhanced Building Operations 2008, Berlin, Germany.
   Google Scholar
• Cheng, J., Qi, D., Katal, A., Wang, L., & Stathopoulos, T. (2018). Evaluating wind-driven natural ventilation potential for early building design. Journal of Wind Engineering and Industrial Aerodynamics, 182, 160–169. doi: 10.1016/j.jweia.2018.09.017
   Web of Science ®Google Scholar
• China Academy of Building Research, & State Bureau of Technical Supervision. (1993). Standard of climate regionalization for architecture (GB 50178-93). Beijing, China: China Architecture & Building Press.
   Google Scholar
• China Meteorological Bureau C I C, Climate Data Office and Tsinghua University, & Department of Building Science and Technology. (2005). China standard weather data for analyzing building thermal conditions. Beijing, China: China Architecture & Building Press.
   Google Scholar
• Crawley, D. B., Lawrie, L. K., Winkelmann, F. C., Buhl, W. F., Huang, Y. J., Pedersen, C. O., & Glazer, J. (2001). EnergyPlus: Creating a new-generation building energy simulation program. Energy and Buildings, 33(4), 319–331. doi: 10.1016/S0378-7788(00)00114-6
   Web of Science ®Google Scholar
• General Administration of Quality Supervision, Inspection and Quarantine of the PRC China, & Institute of Building Science of the PRC China. (2015). Design standard for energy efficiency of public buildings. Beijing, China: China Construction Industry Press.
   Google Scholar
• Heo, Y. (2011). Bayesian calibration of building energy models for energy retrofit decision-making under uncertainty (PhD thesis). Georgia Institute of Technology, US.
   Google Scholar
• Hiyama, K., & Glicksman, L. (2015). Preliminary design method for naturally ventilated buildings using target air change rate and natural ventilation potential maps in the United States. Energy, 89, 655–666. doi: 10.1016/j.energy.2015.06.026
   Web of Science ®Google Scholar
• Homod, R. Z., Sahari, K. S. M., & Almurib, H. A. F. (2014). Energy saving by integrated control of natural ventilation and HVAC systems using model guide for comparison. Renewable Energy, 71, 639–650. doi: 10.1016/j.renene.2014.06.015
   Web of Science ®Google Scholar
• Hu, H., Augenbroe, G., & Choudhary, R. (2007). Feasibility of controlled hybrid ventilation in mid-rise apartment in the USA. In Proceedings: Building simulation 2007 (pp. 475–485). Atlanta, GA.
   Google Scholar
• International Organization for Standardization ISO Central Secretariat (2018) ISO 13790. (2008). Energy performance of buildings – Calculation of energy use for space heating and cooling. Geneva, Switzerland: ISO Central Secretariat Press.
   Google Scholar
• Ji, Z., Su, Y., & Khan, N. (2012). Performance evaluation and energy saving potential of windcatcher natural ventilation systems in China. International Journal of Architecture, Engineering and Construction, 1(2), 84–95. doi: 10.7492/IJAEC.2012.010
   Google Scholar
• Jokisalo, J., & Kurnitski, J. (2007). Performance of EN ISO 13790 utilisation factor heat demand calculation method in a cold climate. Energy and Buildings, 39(2), 236–247. doi: 10.1016/j.enbuild.2006.06.007
   Web of Science ®Google Scholar
• Kim, J.-H., Augenbroe, G., & Suh, H.-S. (2013). Comparative study of the LEED and ISO-CEN building energy performance rating methods. In Proceedings of the BS2013: 13th Conference of International Building Performance Simulation Association (pp. 3104–3111). Chambery, France.
   Google Scholar
• Kokogiannakis, G., Clarke, J., & Strachan, P. (2007). Impact of using different models in practice – a case study with the simplified methods of ISO 13790 standard and detailed modelling programs. In The International building performance simulation association (pp. 39–46). Beijing, China: IBPSA.
   Google Scholar
• Kokogiannakis, G., Strachan, P., & Clarke, J. (2008). Comparison of the simplified methods of the ISO 13790 standard and detailed modelling programs in a regulatory context. Journal of Building Performance Simulation, 1(4), 209–219. doi: 10.1080/19401490802509388
   Google Scholar
• Lee, S. H. (2012). Management of building energy consumption and energy supply network on campus scale (PhD thesis). Georgia Institute of Technology, US.
   Google Scholar
• Lee, S. H., Zhao, F., & Augenbroe, G. (2013). The use of normative energy calculation beyond building performance rating. Journal of Building Performance Simulation, 6(4), 282–292. doi: 10.1080/19401493.2012.720712
   Web of Science ®Google Scholar
• Martin, A. J., & Fletcher, J. (1996). Night cooling control strategies. Berkshire, UK: Building Services Research & Information Association.
   Google Scholar
• Millet, J.-R. (2007). The simple hourly method of prEN 13790: A dynamic method for the future. In Proceedings of CLIMA 2007 wellbeing indoors (pp. 1–8). Helsinki, Finland: FINVAC.
   Google Scholar
• Ministry of Construction of the PRC China, Institute of Building Science of the PRC China, & Ministry of Construction Standards and Quota of the PRC China. (2001). Standard for daylighting design of buildings. Beijing, China: China Construction Industry Press.
   Google Scholar
• Ministry of Housing and Urban-Rural Development of the PR China. (2015). Design standard for energy efficiency of public buildings (GB 50189-2015). Beijing, China: China Architecture & Building Press.
   Google Scholar
• Oropeza-Perez, I., & Østergaard, P. A. (2014). Energy saving potential of utilizing natural ventilation under warm conditions – a case study of Mexico. Applied Energy, 130, 20–32. doi: 10.1016/j.apenergy.2014.05.035
   Web of Science ®Google Scholar
• Orosa, J. A., & Oliveira, A. C. (2010). Implementation of a method in EN ISO 13790 for calculating the utilisation factor taking into account different permeability levels of internal coverings. Energy and Buildings, 42(5), 598–604. doi: 10.1016/j.enbuild.2009.10.030
   Web of Science ®Google Scholar
• Ruiz-Pardo, Á, Domínguez, SÁ, & Fernández, J. A. S. (2010). Revision of the Trombe wall calculation method proposed by UNE-EN ISO 13790. Energy and Buildings, 42(6), 763–773. doi: 10.1016/j.enbuild.2009.11.018
   Web of Science ®Google Scholar
• Sirén, K., & Hasan, A. (2007). Comparison of two calculation methods used to estimate cooling energy demand and indoor summer temperatures. In The proceedings of Clima 2007 wellbeing indoors (pp. 1–316). Helsinki, Finland: FINVAC.
   Google Scholar
• Sun, C., Giles, H., Xu, G., Lan, L., & Lian, Z. (2013). Investigation on thermal comfort and energy conservation of local ventilation. HVAC&R Research, 19(5), 584–592.
   Web of Science ®Google Scholar
• Tan, G., & Glicksman, L. R. (2005). Application of integrating multi-zone model with CFD simulation to natural ventilation prediction. Energy and Buildings, 37(10), 1049–1057. doi: 10.1016/j.enbuild.2004.12.009
   Web of Science ®Google Scholar
• The Stationery Office Press. (1999). Building bulletin 101-ventilation, thermal comfort and indoor air. London, UK: Author.
   Google Scholar
• Tong, Z., Chen, Y., Malkawi, A., Liu, Z., & Freeman, R. B. (2016b). Energy saving potential of natural ventilation in China: The impact of ambient air pollution. Applied Energy, 179, 660–668. doi: 10.1016/j.apenergy.2016.07.019
   Web of Science ®Google Scholar
• Wang, B., & Malkawi, A. (2019). Design-based natural ventilation evaluation in early stage for high performance buildings. Sustainable Cities and Society, 45, 25–37. doi: 10.1016/j.scs.2018.11.024
   Web of Science ®Google Scholar
• Warren, P. R., & Parkins, L. M. (1985). Single-sided ventilation through open windows. In The thermal performance of the exterior envelopes of buildings (pp. 209–228). Florida: ASHRAE SP.
   Google Scholar
• Yang, T., & Clements-Croome, D. J. (2012). Natural ventilation in built environment. Science, 151(3709), 468–469.
   Google Scholar
• Yeang, K. (2006). Ecodesign: A manual for ecological design. New York, NY: Wiley.
   Google Scholar
• Zhao, F. (2012). Agent-based modeling of commercial building stocks for energy policy and demand response analysis (PhD thesis). Georgia Institute of Technology, US.
   Google Scholar
• Zhou, C., Wang, Z., Chen, Q., Jiang, Y., & Pei, J. (2014). Design optimization and field demonstration of natural ventilation for high-rise residential buildings. Energy and Buildings, 82, 457–465. doi: 10.1016/j.enbuild.2014.06.036
   Web of Science ®Google Scholar