EGU22-5074
https://doi.org/10.5194/egusphere-egu22-5074
EGU General Assembly 2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.

Predicting natural ventilation potential in idealised urban neighbourhoods across Chinese climate zones

Xiaoxiong Xie1, Zhiwen Luo1, Sue Grimmond2, Ting Sun2, and Lewis Blunn2
Xiaoxiong Xie et al.
  • 1School of the Built Environment, University of Reading, Reading, UK
  • 2Department of Meteorology, University of Reading, Reading, UK

Natural ventilation is widely used for low-carbon building design. Its potential is influenced largely by the building’s micrometeorological context. Traditionally, weather data used in building energy simulation are observed at rural sites which are far from the site of interest and not representative of the area’s surroundings. Here we combine the Surface Urban Energy and Water Balance Scheme (SUEWS) and the building energy simulation tool, EnergyPlus, to predict the natural ventilation potential (NVP) in buildings located in urban areas in five representative Chinese cities in different climate zones. The meteorological data required by EnergyPlus (e.g. air temperature, relative humidity, wind speed profile) are modelled by SUEWS. The dense urban areas (building fraction λP = 0.6) have an overall warmer and less windy environment compared to rural areas. In summer, the urban-rural natural ventilation hour differences are -3% to -85% (cf. rural) across all climates, while in spring/autumn differences are -25% to 42%. The method is intended to improve the accuracy of NVP prediction using EnergyPlus in cities.

How to cite: Xie, X., Luo, Z., Grimmond, S., Sun, T., and Blunn, L.: Predicting natural ventilation potential in idealised urban neighbourhoods across Chinese climate zones, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-5074, https://doi.org/10.5194/egusphere-egu22-5074, 2022.

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