Mould Growth Models and Risk Assessment for Emerging Timber Envelopes in Australia: A Comparative Study
Abstract
:1. Introduction
The Australian Context
2. Research Methodology
- Design strategies optimisation, by critically addressing the complexity of building envelope integrated design. Therefore, the authors’ objective is to identify efficient, reliable and durable envelope solutions that guarantee healthy environments for the occupants’ wellbeing.
- Assessment strategies optimisation, by questioning current assessment practices and available regulatory frameworks. The authors investigate the impact that different assessment methodologies have on the results’ reliability by comparing the two major methods for assessing mould growth risk in building materials and components.
2.1. Failure Criteria
2.2. Simulation Set-Up
2.3. Boundary Conditions and Assumptions
2.3.1. Wall Typologies and Assemblies
- Variant 1—Moisture control layers (weathering membrane and vapour barrier). This set of simulations aims to assess the influence of the location of the weather and vapour barriers within the wall build-ups. Different configurations are tested, including a variant where the moisture control layers are placed at the interface between the CLT and the insulation. This strategy is sometimes used in CLT construction to quickly protect timber structures from the weather and to minimise the risk of moisture damage during construction works.
- Variant 2—Fire barrier (gypsum board). This set of simulations investigates the impact that the fire protection layer has on the hygrothermal performance of the wall assembly. Indeed, NCC compliance for timber-based envelopes requires the encapsulation of the timber structure within incombustible fire-resistant boards. Depending on the fire resistance level (FRL) rating required, a wall can be encapsulated in one or more fire rated boards.
- Variant 3—Sheeting (OSB or plywood). This set of simulations explores the use of a bracing board on the outside of the insulation and its influence on the wall build-up’s moisture safety. This solution may be employed in prefabricated large-size wall elements to both increase the rigidity and robustness of the component during on-site operations, as well as for factory logistics reasons (to ease the installation of the insulation layer and speed up off-site assembly operation). The analysis includes two different products that are highly diffused on the Australian market, namely the oriented strand board (OSB) and plywood.
- Variant 1—Moisture control layers (weathertight membrane and vapour barrier). As per the CLT wall solution, this simulation set aims to assess the impact on the moisture control layers’ placement within the wall assembly. This time, the membrane permeability is also varied to try and improve the overall hygrothermal behaviour.
- Variant 2—Fire barrier (gypsum board). As per the CLT wall solution, the presence of fire protective bards is assessed.
- Variant 3—Sheeting (OSB or plywood or rigid insulation). As per the CLT wall solution, this set of simulations investigates the use of OSB or plywood within the wall cross-section according to different configurations. One option also considers the use of a rigid high-density mineral wool insulation panel to be installed on the outside of the wall frame, in place of the external OSB or plywood bracing board.
- Variant 4—Insulation. This set of simulations explores the effects that the insulation position within the wall build-up has on the hygrothermal behaviour of the timber-framed solution. The impact of the change of the wall R-value (improved thermal performance) is also assessed. In timber-framed walls, the insulation layer is usually within the frame. NCC deemed-to-satisfy provisions for the envelope thermal performance across the various Australian climatic contexts are generally met with a reduced insulation thickness. This results in the wall cavity only partially filled. This solution is cost-effective, but it might as well cause moisture-related issues and condensation accumulation hidden within the cavity and, therefore, is hard to detect at early stages.
2.3.2. Outdoor Climate
2.3.3. Indoor Climate
2.3.4. Simulation Matrix
3. Results and Discussion
3.1. Mass-Timber Wall
3.2. Timber-Framed Wall
4. Conclusions
Supplementary Materials
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Conflicts of Interest
References
- Klepeis, N.E.; Nelson, W.C.; Ott, W.R.; Robinson, J.P.; Tsang, A.M.; Switzer, P.; Behar, J.V.; Hern, S.C.; Engelmann, W.H. The national human activity pattern survey (NHAPS): A resource for assessing exposure to environmental pollutants. J. Expo. Sci. Environ. Epidemiol. 2001, 11, 231–252. [Google Scholar] [CrossRef] [Green Version]
- International Organization for Standardization Geneva. Hygrothermal Performance of Building Com-Ponents and Building Elements–Assessment of Moisture Transfer by Numerical Simulation; BSI: London, UK, 2007. [Google Scholar]
- Crook, B.; Burton, N.C. Indoor moulds, sick building syndrome and building related illness. Fungal Biol. Rev. 2010, 24, 106–113. [Google Scholar] [CrossRef]
- Lu, C.; Deng, Q.; Li, Y.; Sundell, J.; Norbäck, D. Outdoor air pollution, meteorological conditions and indoor factors in dwellings in relation to sick building syndrome (SBS) among adults in China. Sci. Total Environ. 2016, 560–561, 186–196. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Dewsbury, M.; Law, T.; Potgieter, J.; Fitz-Gerald, D.; McComish, B.; Chandler, T.; Soudan, A. Scoping Study of Condensation in Residential Buildings: Final Report; Australian Building Codes Board, Department of Industry Innovation and Science: Hobart, Australia, 2016. [Google Scholar]
- Australian Building Code Board. Building Code of Australia 2013: National Construction Code Series Volume 1; Australian Building Codes Board: Canberra, Australian, 2013.
- Allsopp, D.; Seal, K.J.; Gaylarde, C.C. Introduction to Biodeterioration; Cambridge University Press: Cambridge, UK, 2004. [Google Scholar]
- Verdier, T.; Coutand, M.; Bertron, A.; Roques, C. A review of indoor microbial growth across building materials and sampling and analysis methods. Build. Environ. 2014, 80, 136–149. [Google Scholar] [CrossRef] [Green Version]
- Gutarowska, B.; Piotrowska, M. Methods of mycological analysis in buildings. Build. Environ. 2007, 42, 1843–1850. [Google Scholar] [CrossRef]
- Sedlbauer, K.; Krus, M.; Breuer, K. Biohygrothermal method for the prediction of mould growth: Procedure and health aspects. In Proceedings of the Healthy Building, Proceedings of the ISIAQ Conference, Singapore, 7–11 December 2003; National University of Singapore: Singapore, 2003; pp. 666–672. [Google Scholar]
- Australian Institute of Health and Welfare. Chronic Respiratory Diseases in Australia: Their Prevalence, Consequences and Prevention. Available online: https://www.aihw.gov.au/reports/chronic-respiratory-conditions/chronic-respiratory-diseases-australia/contents/table-of-contents (accessed on 27 April 2021).
- Kraus, M. Airtightness as a key factor of sick building syndrome (SBS). In Proceedings of the International Multidisciplinary Scientific GeoConference: SGEM: Surveying Geology & Mining Ecology Management, Albena, Bulgaria, 30 June–6 July 2016; pp. 439–445. [Google Scholar]
- Gobakken, L.R.; Lebow, P.K. Modelling mould growth on coated modified and unmodified wood substrates exposed out-doors. Wood Sci. Technol. 2010, 44, 315–333. [Google Scholar] [CrossRef]
- Sedlbauer, K. Prediction of mould growth by hygrothermal calculation. J. Therm. Envel. Build. Sci. 2002, 25, 321–336. [Google Scholar] [CrossRef]
- Vereecken, E.; Roels, S. Review of mould prediction models and their influence on mould risk evaluation. Build. Environ. 2012, 51, 296–310. [Google Scholar] [CrossRef] [Green Version]
- Gradeci, K.; Labonnote, N.; Time, B.; Köhler, J. Mould growth criteria and design avoidance approaches in wood-based materials—A systematic review. Constr. Build. Mater. 2017, 150, 77–88. [Google Scholar] [CrossRef]
- Brambilla, A.; Sangiorgio, A. Mould growth in energy efficient buildings: Causes, health implications and strategies to mitigate the risk. Renew. Sustain. Energy Rev. 2020, 132, 110093. [Google Scholar] [CrossRef]
- Gradeci, K.; Labonnote, N.; Time, B.; Köhler, J. A probabilistic-based approach for predicting mould growth in timber building envelopes: Comparison of three mould models. Energy Procedia 2017, 132, 393–398. [Google Scholar] [CrossRef]
- Spiegel, R.; Meadows, D. Green Building Materials: A Guide to Product Selection and Specification; John Wiley & Sons: Hoboken, NJ, USA, 2010. [Google Scholar]
- England, P.; Iskra, B. Australian building code change—Eight-storey timber buildings. In Proceedings of the International Scientific Conference on Woods & Fire Safety; Springer: Cham, Germany, 2020; pp. 219–225. [Google Scholar]
- Kremer, P.D.; Symmons, M. Mass timber construction as an alternative to concrete and steel in the Australia building industry: A PESTEL evaluation of the potential. Int. Wood Prod. J. 2015, 6, 138–147. [Google Scholar] [CrossRef]
- Kremer, P.; Fahy, P.; Zaman, A. Understanding the risk and reward in the adoption of mass timber construction in Australia. Mass Timber Constr. J. 2019, 2, 15–20. [Google Scholar]
- Brambilla, A.; Gasparri, E. Hygrothermal behaviour of emerging timber-based envelope technologies in Australia: A preliminary investigation on condensation and mould growth risk. J. Clean. Prod. 2020, 276, 124129. [Google Scholar] [CrossRef]
- Sedlbauer, K.; Krus, M. A new model for mould prediction and its application in practice. In Proceedings of the International Conference on Buldign Physics, Leuven, Belgium, 14–18 September 2003. [Google Scholar]
- Hukka, A.; Viitanen, H.A. A mathematical model of mould growth on wooden material. Wood Sci. Technol. 1999, 33, 475–485. [Google Scholar] [CrossRef]
- ASHRAE Standard 160-2016. Criteria for Moisture-Control Design Analysis in Buildings; ASHRAE: Atlanta, GA, USA, 2016. [Google Scholar]
- Lepage, R.; Glass, S.V.; Knowles, W.; Mukhopadhyaya, P. Biodeterioration models for building materials: Critical review. J. Arch. Eng. 2019, 25, 04019021. [Google Scholar] [CrossRef]
- Manfred Kehrer, O. WUFI (Wärme and Feuchte Instationär)-Oak Ridge National Laboratory (ORNL)/Fraunhofer IBP, Oak Ridge National Laboratory, Computer Software. Available online: https://www.osti.gov//servlets/purl/1231793 (accessed on 20 May 2014).
- Delgado, J.M.; Barreira, E.; Ramos, N.M.; de Freitas, V.P. Hygrothermal Numerical Simulation Tools Applied to Building Physics; Springer Science & Business Media: Berlin, Germany, 2012. [Google Scholar]
- Glass, S.; Zelinka, S. Moisture relations and physical properties of wood. In Wood Handbook—Wood as an Engineering Material; General Technical Report FPL-GTR-282; Department of Agriculture: Madison, WI, USA; Forest Service: Madison, WI, USA; Forest Products La-boratory: Madison, WI, USA, 2010; 22p. [Google Scholar]
- Kordziel, S.; Glass, S.V.; Boardman, C.R.; Munson, R.A.; Zelinka, S.L.; Pei, S.; Tabares-Velasco, P.C. Hygrothermal characterization and modeling of cross-laminated timber in the building envelope. Build. Environ. 2020, 177, 106866. [Google Scholar] [CrossRef]
- Glass, S.V. Hygrothermal Analysis of Wood-Frame Wall Assemblies in a Mixed-Humid Climate; Research Paper, FPL-RP-675; Department of Agriculture: Madison, WI, USA; Forest Service: Madison, WI, USA; Forest Products Laboratory: Madison, WI, USA, 2013; 27p. [Google Scholar]
- Kang, Y.; Kim, S. Evaluation of the hygrothermal performance by wall layer component of wooden houses using WUFI sim-ulation program. J. Korean Wood Sci. Technol. 2016, 44, 75–84. [Google Scholar] [CrossRef]
- Cho, H.M.; Wi, S.; Chang, S.J.; Kim, S. Hygrothermal properties analysis of cross-laminated timber wall with internal and external insulation systems. J. Clean. Prod. 2019, 231, 1353–1363. [Google Scholar] [CrossRef]
- Boardman, C.R.; Glass, S.V. Improving the accuracy of a hygrothermal model for wood-frame walls: A cold-climate study. Buildings 2020, 10, 236. [Google Scholar] [CrossRef]
- Remund, J.; Kunz, S. Meteonorm: Global Meteorological Database for Solar Energy and Applied Climatology; Meteotest: Bern, Switzerland, 1997. [Google Scholar]
- Gasparri, E.; Brambilla, A.; Aitchison, M. Hygorthermal analysis of timber-based external walls across different Australian climate zones. In Proceedings of the WCTE 2018, World Conference on Timber Engineering, Seoul, Korea, 20–23 August 2018. [Google Scholar]
- Pihelo, P.; Kalamees, T. The effect of thermal transmittance of building envelope and material selection of wind barrier on moisture safety of timber frame exterior wall. J. Build. Eng. 2016, 6, 29–38. [Google Scholar] [CrossRef]
- Sadovský, Z.; Koronthályová, O. Exploration of probabilistic mould growth assessment. Appl. Math. Model. 2017, 42, 566–575. [Google Scholar] [CrossRef]
- Gradeci, K.; Labonnote, N.; Time, B.; Köhler, J. A probabilistic-based methodology for predicting mould growth in façade constructions. Build. Environ. 2018, 128, 33–45. [Google Scholar] [CrossRef]
Traffic Light | Level of Risk | VTT Model Mould Index MI (−) ASHRAE 160 Limit | IBP Model Mould Growth (mm/year) and Corresponding MI Value |
---|---|---|---|
Green | Usually acceptable | MI < 1 | growth < 50 (MI < 0.5) |
Yellow | Additional investigations are needed | 1 < MI < 3 | 50 < growth < 200 (MI: 0.5 < MI < 2) |
Red | Usually not acceptable | MI > 3 | growth >200 (MI > 2) |
Wall Typologies | Functional Layer | Layer Thickness (mm) | |||
---|---|---|---|---|---|
Mass-timber wall | CLT structure (spruce) | 90 | 90 | 90 | 90 |
Mineral wool | 80 | 60 | 60 | 60 | |
Weathertight membrane | <1 | <1 | <1 | <1 | |
Ventilated cavity | 50 | 50 | 50 | 50 | |
Cladding system | 10 | 10 | 10 | 10 | |
Timber-framed wall | OSB panel | 12.5 | 12.5 | 12.5 | 12.5 |
Air gap | 40 | 60 | 60 | 60 | |
Mineral wool | 100 | 80 | 80 | 80 | |
OSB panel | 12.5 | 12.5 | 12.5 | 12.5 | |
Weathertight membrane | <1 | <1 | <1 | <1 | |
Ventilated cavity | 50 | 50 | 50 | 50 | |
Cladding system | 10 | 10 | 10 | 10 | |
Variants | 1-Vapor barrier | <1 | <1 | <1 | <1 |
2-Fire barrier | 13 | 13 | 13 | 13 | |
3-Plywood | 12.5 | 12.5 | 12.5 | 12.5 | |
4-Mineral wool (high density) | 40 | 40 | 40 | 40 | |
Climate zone | 2 | 5 | 6 | 7 | |
R-value limit [K⋅m2/W] | 3.3 | 2.8 | 2.8 | 2.8 |
Wall Typologies | Functional Layer | Bulk Density (kg/m3) | Porosity (m3/m3) | Heat Capacity (J/kg K) | Thermal Conductivity Dry (W/mK) | Water Vapour Diffusion Resistance Dry (−) |
---|---|---|---|---|---|---|
Mass-timber wall | CLT structure | 410 | 0.74 | 1300 | 0.098 | 500 |
Mineral wool | 135 | 0.953 | 1030 | 0.038 | 1.1 | |
Weathertight membrane | 130 | 0.001 | 2300 | 2.3 | 200 | |
Ventilated cavity | Air layer without additional moisture capacity | |||||
Cladding system | 675 | 0.71 | 850 | 0.2 | 8.33 | |
OSB panel | 615 | 0.9 | 1500 | 0.13 | 175 | |
Air gap | Air layer without additional moisture capacity | |||||
Mineral wool | 73 | 0.95 | 850 | 0.032 | 1.1 | |
Timber-framed wall | OSB panel | 615 | 0.9 | 1500 | 0.13 | 175 |
Weathertight membrane | 130 | 0.001 | 2300 | 2.3 | 200 | |
Ventilated cavity | Air layer without additional moisture capacity | |||||
Cladding system | 675 | 0.71 | 850 | 0.2 | 8.33 | |
Variants | 1-Vapour barrier | 130 | 0.001 | 2300 | 2.3 | 1,500,000 |
2-Fire barrier | 850 | 0.65 | 850 | 0.2 | 8.3 | |
3-Plywood | 500 | 0.5 | 1400 | 0.1 | 700 | |
4-Mineral wool (high density) | 178 | 0.934 | 850 | 0.0336 | 1.76 |
Climate Zone | Description | Reference City |
---|---|---|
2 | Warm humid summer, mild winter | Brisbane |
5 | Warm temperate | Adelaide, Perth, Sydney |
6 | Mild temperate | Melbourne |
7 | Cool temperate | Canberra |
24 h Outdoor Running Mean | Indoor Temperature Design | |
---|---|---|
Heating Only | Heating + AC | |
To,24 < 18.3 °C | 21.1 °C | 21.1 °C |
18.3 °C < To,24 < 21.1 °C | To,24 + 2.8 °C | To,24 + 2.8 °C |
To,24 > 21.1 °C | To,24 + 2.8 °C | 23.9 °C |
Daily Average Outdoor Temperature | Design Indoor Relative Humidity |
---|---|
To,day < 10 °C | 40% |
10 °C < To,day < 2 °C | 40% + (To,day + 10)% |
To,day > 20 °C | 70% |
Variant | Scenarios | Climate Zone 2 | Climate Zone 5 | Climate Zone 6 | Climate Zone 7 | ||||
---|---|---|---|---|---|---|---|---|---|
VTT | IBP | VTT | IBP | VTT | IBP | VTT | IBP | ||
Ref. Scenario | 0 | Green | Green | Green | Green | Green | Green | Green | Green |
Variant 1 Moisture control layers | 1.0 | Green | Green | Green | Green | Green | Green | Green | Green |
1.1 | Yellow | Red | Red | Red | Red | Red | Red | Red | |
1.2 | Green | Yellow | Green | Green | Green | Yellow | Green | Yellow | |
1.3 | Green | Green | Green | Green | Green | Green | Green | Green | |
1.4 | Green | Green | Green | Green | Green | Green | Green | Green | |
1.5 | Green | Yellow | Green | Yellow | Green | Yellow | Green | Yellow | |
1.6 | Green | Green | Green | Green | Green | Green | Green | Green | |
Variant 2 Fire barriers | 2.0 | Green | Green | Green | Green | Green | Green | Green | Green |
2.1 | Green | Green | Green | Green | Green | Green | Green | Green | |
2.2 | Green | Green | Green | Green | Green | Green | Green | Green | |
2.3 | Green | Green | Green | Green | Green | Green | Green | Green | |
2.4 | Green | Green | Green | Green | Green | Green | Green | Green | |
2.5 | Green | Green | Green | Green | Green | Green | Green | Green | |
2.6 | Green | Green | Green | Green | Green | Green | Green | Green | |
2.7 | Green | Green | Green | Green | Green | Green | Green | Green | |
Varian 3 Sheeting | 3.0 | Yellow | Red | Yellow | Red | Yellow | Red | Yellow | Red |
3.1 | Green | Yellow | Green | Yellow | Green | Yellow | Green | Yellow |
Variant | Scenarios | Climate Zone 2 | Climate Zone 5 | Climate Zone 6 | Climate Zone 7 | ||||
---|---|---|---|---|---|---|---|---|---|
VTT | IBP | VTT | IBP | VTT | IBP | VTT | IBP | ||
Ref. Scenario | 0 | Green | Yellow | Yellow | Yellow | Red | Red | Red | Red |
Variant 1 Moisture control layers | 1.0 | Green | Yellow | Green | Yellow | Green | Yellow | Green | Yellow |
1.1 | Yellow | Yellow | Red | Red | Red | Red | Red | Red | |
1.2 | Green | Yellow | Green | Yellow | Red | Red | Red | Red | |
Variant 2 Fire barriers | 2.0 | Green | Yellow | Yellow | Yellow | Red | Red | Red | Red |
2.1 | Green | Yellow | Yellow | Yellow | Red | Red | Red | Red | |
2.2 | Green | Yellow | Yellow | Yellow | Red | Red | Red | Red | |
2.3 | Green | Yellow | Yellow | Yellow | Yellow | Red | Red | Red | |
2.4 | Green | Yellow | Yellow | Yellow | Yellow | Red | Red | Red | |
2.5 | Green | Yellow | Yellow | Yellow | Yellow | Red | Red | Red | |
Variant 3 Sheeting | 3.0 | Green | Green | Green | Yellow | Green | Yellow | Green | Yellow |
3.1 | Green | Yellow | Yellow | Yellow | Red | Red | Red | Red | |
3.2 | Green | Green | Green | Green | Green | Yellow | Green | Yellow | |
3.3 | Green | Yellow | Green | Green | Green | Green | Green | Green | |
Variant 4 Insulation | 4.0 | Green | Yellow | Yellow | Red | Red | Red | Red | Red |
4.1 | Green | Green | Green | Green | Green | Yellow | Green | Yellow | |
4.2 | Green | Green | Green | Green | Green | Green | Green | Green | |
4.3 | Green | Green | Green | Yellow | Yellow | Yellow | Yellow | Yellow | |
4.4 | Green | Yellow | Yellow | Yellow | Red | Red | Red | Red | |
4.5 | Green | Green | Green | Green | Green | Yellow | Green | Yellow | |
4.6 | Green | Green | Green | Green | Green | Green | Green | Green |
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Brambilla, A.; Gasparri, E. Mould Growth Models and Risk Assessment for Emerging Timber Envelopes in Australia: A Comparative Study. Buildings 2021, 11, 261. https://doi.org/10.3390/buildings11060261
Brambilla A, Gasparri E. Mould Growth Models and Risk Assessment for Emerging Timber Envelopes in Australia: A Comparative Study. Buildings. 2021; 11(6):261. https://doi.org/10.3390/buildings11060261
Chicago/Turabian StyleBrambilla, Arianna, and Eugenia Gasparri. 2021. "Mould Growth Models and Risk Assessment for Emerging Timber Envelopes in Australia: A Comparative Study" Buildings 11, no. 6: 261. https://doi.org/10.3390/buildings11060261
APA StyleBrambilla, A., & Gasparri, E. (2021). Mould Growth Models and Risk Assessment for Emerging Timber Envelopes in Australia: A Comparative Study. Buildings, 11(6), 261. https://doi.org/10.3390/buildings11060261