Modelling mould growth risk in English social housing

Xuanchen Ge; Jonathon Taylor; Sofie Pelsmakers; Raúl  Castaño-Rosa

doi:10.14293/ICMB210024

Abstract

Social housing may be at increased risk of damp and subsequent mould growth due to housing characteristics such as poor ventilation and energy efficiency, and occupant fuel poverty. In this study, surface relative humidity and temperature are estimated in flats in a typical low-rise multi-dwelling building in London using the EnergyPlus Heat and Moisture Transport (HAMT) model under different occupant activities. Mould Growth Index (MI) is then estimated using this data. Results indicate that MI is highly influenced by the amount of moisture generated indoors, indoor heating schedule, outdoor climate, and the floor level. Local governments should ensure that residents of social housing have sufficient access to affordable heating and extract fans to reduce mould exposure risk.

Original language	English
DOIs	https://doi.org/10.14293/ICMB210024
Publication status	Published - 12 May 2021
Publication type	Not Eligible
Event	International Conference on Moisture in Buildings - University College London, London, United Kingdom Duration: 28 Jun 2021 → 29 Jun 2021 Conference number: 1 https://ukcmb.org/icmb21/

Conference

Conference	International Conference on Moisture in Buildings
Abbreviated title	ICMB21
Country/Territory	United Kingdom
City	London
Period	28/06/21 → 29/06/21
Internet address	https://ukcmb.org/icmb21/

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.14293/ICMB210024Licence: CC BY

Cite this

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title = "Modelling mould growth risk in English social housing",

abstract = "Social housing may be at increased risk of damp and subsequent mould growth due to housing characteristics such as poor ventilation and energy efficiency, and occupant fuel poverty. In this study, surface relative humidity and temperature are estimated in flats in a typical low-rise multi-dwelling building in London using the EnergyPlus Heat and Moisture Transport (HAMT) model under different occupant activities. Mould Growth Index (MI) is then estimated using this data. Results indicate that MI is highly influenced by the amount of moisture generated indoors, indoor heating schedule, outdoor climate, and the floor level. Local governments should ensure that residents of social housing have sufficient access to affordable heating and extract fans to reduce mould exposure risk.",

author = "Xuanchen Ge and Jonathon Taylor and Sofie Pelsmakers and Ra{\'u}l Casta{\~n}o-Rosa",

year = "2021",

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doi = "10.14293/ICMB210024",

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note = "International Conference on Moisture in Buildings, ICMB21 ; Conference date: 28-06-2021 Through 29-06-2021",

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T1 - Modelling mould growth risk in English social housing

AU - Ge, Xuanchen

AU - Taylor, Jonathon

AU - Pelsmakers, Sofie

AU - Castaño-Rosa, Raúl

N1 - Conference code: 1

PY - 2021/5/12

Y1 - 2021/5/12

N2 - Social housing may be at increased risk of damp and subsequent mould growth due to housing characteristics such as poor ventilation and energy efficiency, and occupant fuel poverty. In this study, surface relative humidity and temperature are estimated in flats in a typical low-rise multi-dwelling building in London using the EnergyPlus Heat and Moisture Transport (HAMT) model under different occupant activities. Mould Growth Index (MI) is then estimated using this data. Results indicate that MI is highly influenced by the amount of moisture generated indoors, indoor heating schedule, outdoor climate, and the floor level. Local governments should ensure that residents of social housing have sufficient access to affordable heating and extract fans to reduce mould exposure risk.

AB - Social housing may be at increased risk of damp and subsequent mould growth due to housing characteristics such as poor ventilation and energy efficiency, and occupant fuel poverty. In this study, surface relative humidity and temperature are estimated in flats in a typical low-rise multi-dwelling building in London using the EnergyPlus Heat and Moisture Transport (HAMT) model under different occupant activities. Mould Growth Index (MI) is then estimated using this data. Results indicate that MI is highly influenced by the amount of moisture generated indoors, indoor heating schedule, outdoor climate, and the floor level. Local governments should ensure that residents of social housing have sufficient access to affordable heating and extract fans to reduce mould exposure risk.

U2 - 10.14293/ICMB210024

DO - 10.14293/ICMB210024

M3 - Abstract

T2 - International Conference on Moisture in Buildings

Y2 - 28 June 2021 through 29 June 2021

ER -