Condensation Targeter II: Modelling surface relative humidity to predict mould growth in dwellings

Author:

Oreszczyn T.1,Pretlove S E C2

Affiliation:

1. The Bartlett School of Graduate Studies, University College London, Gower Street, London WC1E 6BT, UK

2. School of Construction, South Bank University, 202 Wandsworth Road, London SW8 2JZ, UK

Abstract

Condensation and mould growth are reported as being problems in an estimated 4.2 million dwellings in England, resulting in poor health for the occupants and substantial damage to the fabric of the building. This paper examines the development of an algorithm, Condensation Targeter, to predict the relative humidity of internal surfaces and risk of mould growth in dwellings. The impacts of cold bridging, seasonal variations, variable moisture production and hygroscopic materials are reviewed (but not of interstitial condensation) and a comparison between modelled and measured data for 36 dwellings is carried out. Results indicate that a steady-state model utilising Bredem-8 to predict internal temperatures and Loudon's condensation model to predict moisture shows good (± 10%) agreement with monitored data. A model sensitivity study shows that variations in occupant heating and density can be as important as, or even more important than, ventilation in determining mould.

Publisher

SAGE Publications

Subject

Building and Construction

Reference38 articles.

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3