Evaluation of an optoelectronic mould sensor for use in building health monitoring and in post-remediation performance assessment. (January 2018)

• Record Type: Journal Article
• Authors: Savory, Eric; Dooreleyers, Mitchell; Spiler, Katelin; Li, Eric; Sabarinathan, Jayshri; Scott, James A.
• Is Part Of: Sustainable cities and society. Volume 36(2018)
• Page Start: 311
• Page End: 318
• Publication Date: 2018-01
• Subjects: Mould -- Sensor -- Urban building envelope -- Bio-deterioration -- Environmental monitoring -- Post-remediation; Sustainable urban development -- Periodicals; Sustainable buildings -- Periodicals; Urban ecology (Sociology) -- Periodicals; 307.76
• DOI: 10.1016/j.scs.2017.10.033
• Languages: English
• ISSNs: 2210-6707

Abstract

Highlights: Performance of novel optoelectronic mould sensor assessed. Long-term output stability (over 1 year) in a wall assembly is excellent. Sensor detects mould growth under extreme environmental conditions. Output voltage change correlates with visual observation of mould growth. Consistent performance observed for all mould sensors. Abstract: Mould growth, due to water ingress or excess condensation, represents a significant health hazard within the built environment. Results from different mould growth models show discrepancies in their predictive abilities, partly because of the dearth of in-situ real-time mould data. The performance of an optoelectronic sensor for quantifying hidden mould growth within building wall assemblies has been examined in two separate studies. In the first, a set of 14 sensors were installed in two wood-frame wall assemblies of a full-scale test building, along with other environmental sensors for temperature, relative humidity and material moisture content. The sensors were monitored for one year under conditions for which no mould growth was expected to occur and the mould sensor voltage outputs showed very good stability over this time period. In the second test series, four small panels of oriented strand board and of gypsum wall board were instrumented and placed within an environmental chamber and subjected to high levels of relative humidity and material moisture content introduced by a wetting system. The results from the best-controlled of these experiments showed that the mould sensors were capable of clearly distinguishing the different extents of mould growth that occurred on each test panel.