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Evaluation of Mould Growth on Wall Surface by Different Models

  • Jie Song
  • Jingchao XieEmail author
  • Linna Xie
  • Guozhu Li
  • Ran Zhang
  • Jiaping Liu
Conference paper
  • 243 Downloads
Part of the Environmental Science and Engineering book series (ESE)

Abstract

Indoor mould growing on the wall surface can not only degrade building materials, but also endanger occupants’ health. It is of great significance to study the mould growth, especially for domestic research. This paper takes the thermal bridge of building as an example, which is located in Shanghai. Then the hourly temperature and relative humidity were obtained. And the VTT model, MRD model and WUFI-BIO model are used to calculate for assessing the mould growth in one year. From the result, the mould growth in Shanghai is mainly concentrated in summer. The three models evaluate mould growth in different ways. And the VTT and MRD model show that the mould growth time is longer than MRD model in Shanghai. The description of VTT model is relatively straightforward in the result display. Besides, according to the prediction principle, the MRD model covers the wider influencing factors of mould growth.

Keywords

Mould growth Models Thermal bridge Influencing factors 

Notes

Acknowledgements

The project is supported by National Natural Science Foundation of China (Major programme, Number 51590912), and National Key Research and Development Programme of China (Number 2017YFC0702800).

Thanks to the support of relevant departments for providing outdoor weather data. At the same time, thanks to the license certification provided by the owners and responsible authorities in Shanghai area for obtaining the questionnaire survey data.

Informed consent Informed consent was obtained from all individual participants included in the study.

Permissions Appropriate permissions from house owners/responsible authorities were obtained for study in household mould growth.

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Copyright information

© Springer Nature Singapore Pte Ltd. 2020

Authors and Affiliations

  • Jie Song
    • 1
  • Jingchao Xie
    • 1
    Email author
  • Linna Xie
    • 2
  • Guozhu Li
    • 2
  • Ran Zhang
    • 2
  • Jiaping Liu
    • 1
  1. 1.Key Laboratory of Green Built Environment and Energy-Efficiency TechnologyBeijing University of TechnologyBeijingChina
  2. 2.China Academy of Building ResearchBeijingChina

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