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

doi:10.1016/S0360-1323(98)00023-7

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 journal › Article › peer-review

99 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 language	English
Pages (from-to)	515-521
Number of pages	7
Journal	Building and Environment
Volume	34
Issue number	4
DOIs	https://doi.org/10.1016/S0360-1323(98)00023-7
Publication status	Published - 1 Jul 1999

Keywords

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

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10.1016/S0360-1323(98)00023-7

Cite this

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title = "A technique for the prediction of the conditions leading to mould growth in buildings",

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.",

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T1 - A technique for the prediction of the conditions leading to mould growth in buildings

AU - Clarke, Joseph

AU - Johnstone, Cameron

AU - Kelly, Nicolas

AU - McLean, Robert

AU - Anderson, John

AU - Rowan, Neil

AU - Smith, John

PY - 1999/7/1

Y1 - 1999/7/1

N2 - 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.

AB - 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.

KW - mould infested house

KW - mould

KW - mycological samples

KW - prediction

KW - conditions

KW - mould growth

KW - technique

KW - buildings

UR - http://www.sciencedirect.com/science/article/pii/S0360132398000237

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DO - 10.1016/S0360-1323(98)00023-7

M3 - Article

SN - 0360-1323

VL - 34

SP - 515

EP - 521

JO - Building and Environment

JF - Building and Environment

IS - 4

ER -

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

Abstract

Keywords

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Fingerprint

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

Cite this

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

Abstract

Keywords

Access to Document

Other files and links

Fingerprint

Impacts

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

Cite this