A technique for the prediction of the conditions leading to mould growth in buildings

Joseph Clarke, Cameron Johnstone, Nicolas Kelly, Robert McLean, John Anderson, Neil Rowan, John Smith

Research output: Contribution to journalArticle

83 Citations (Scopus)

Abstract

Epidemiological evidence suggests that the presence of mould growth in buildings can have a detrimental effect on the well-being of occupants. Based on an extensive literature review, growth limits for six generic mould categories have been formulated in terms of the minimum combination of temperature and relative humidity for which growth will occur on building materials. These limits were incorporated within the ESP-r system for building energy and environmental simulation in order to provide a design tool which can predict the likelihood and extent of mould infestation. The systems new predictive capability has been tested against monitored data and mycological samples taken from a mould infested house.
Original languageEnglish
Pages (from-to)515-521
Number of pages7
JournalBuilding and Environment
Volume34
Issue number4
DOIs
Publication statusPublished - 1 Jul 1999

Keywords

  • mould infested house
  • mould
  • mycological samples
  • prediction
  • conditions
  • mould growth
  • technique
  • buildings

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  • Impacts

    Building performance simulation with computational modelling software enables practitioners to realise a low carbon built environment.

    Joseph Andrew Clarke (Participant), Nicolas Kelly (Participant) & Paul Strachan (Participant)

    Impact: Impact - for External PortalEnvironment and sustainability - natural world and built environment, Professional practice, training and standards

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