Ge, Hua and Wang, Lin (2018) Stochastic modelling of hygrothermal performance of highly insulated wood framed walls. Building and Environment, 146 . pp. 12-28. ISSN 03601323 (In Press)
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Official URL: http://dx.doi.org/10.1016/j.buildenv.2018.09.032
Abstract
As energy consumption has become an important issue in building design, most building codes require a higher insulation level for building envelopes to improve the building's energy efficiency. However, the highly insulated walls may lead to a higher risk of moisture problems. Although hygrothermal simulation has been widely used to investigate the moisture performance of wood framed walls, the uncertainties of input parameters such as material properties, boundary conditions and moisture loads, may lead to discrepancies between simulation results and actual performance of the envelope. This paper investigates the hygrothermal performance of highly insulated wood framed walls using a stochastic approach, which combines the Latin Hypercube Sampling method and Factorial Design to take into account the uncertainties of material properties, boundary conditions and moisture loads (air leakage and rain leakage). The investigated walls include an I-joist deep cavity wall, two exterior insulated walls, and a conventional 2 × 6 stud wall as the baseline. It is found that under the moisture loads introduced (i.e. air leakage and rain leakage), the exterior insulated walls have a lower mold growth risk than the deep cavity wall and the 2 × 6 stud baseline wall. The uncertainties of material properties do not result in significant variations in simulation results such as moisture content and mold growth index as uncertainties of moisture loads do. The hygrothermal performance of these highly insulated walls is more sensitive to moisture loads and the significance of the moisture loads (air leakage and rain leakage) depends on climatic conditions.
| Divisions: | Concordia University > Gina Cody School of Engineering and Computer Science > Building, Civil and Environmental Engineering |
|---|---|
| Item Type: | Article |
| Refereed: | Yes |
| Authors: | Ge, Hua and Wang, Lin |
| Journal or Publication: | Building and Environment |
| Date: | 2018 |
| Digital Object Identifier (DOI): | 10.1016/j.buildenv.2018.09.032 |
| Keywords: | Stochastic modelling; HAM simulations; Hygrothermal performance; Highly insulated wood framed walls; Mold growth risk; Durability |
| ID Code: | 984523 |
| Deposited By: | ALINE SOREL |
| Deposited On: | 04 Oct 2018 15:52 |
| Last Modified: | 21 Sep 2020 00:00 |
References:
G. Finch, J. Wang, D. Ricketts Guide for Designing Energy-efficient Building Enclosures, FPInnovations, British Columbia, Canada (2013)A. Janssens, H. Hens. Interstitial condensation due to air leakage: a sensitivity analysis, J. Build. Phys., 27 (1) (2003), pp. 15-29
J. Smegal, J. Lstiburek, J. Straube, A. Grin. Moisture-related durability of walls with exterior insulation in the Pacific Northwest, Thermal Performance of the Exterior Envelopes of Whole Buildings XIII International Conference, Clearwater Beach, Florida, USA (2013)
W. Maref, M. Armstrong, M. Rousseau, W. Le.i A field monitoring investigation of the effect of adding different exterior thermal insulation materials on the hygrothermal response of wood-frame walls in a cold climate, BEST2 Conference, Building Enclosure Science & Technology, Portland, USA (2001)
L. Arena, D. Owens, P. Mantha. Measured performance of an R-40 Double-Stud wall in climate zone 5A, Thermal Performance of the Exterior Envelopes of Whole Buildings XIII International Conference, Clearwater Beach, Florida, USA (2013)
G. Parsons, B. Lieburn. Comparative energy and wall performance of twelve residential houses constructed in cold climate, Thermal Performance of the Exterior Envelopes of Whole Buildings XII International Conference; Florida, USA (2013)
C. Craven, R. Garber-Slaght. Exterior insulation envelope retrofits in cold climates: implications for moisture control, HVAC R Res., 20 (4) (2014), pp. 384-394
S.V. Glass, V. Kochkin, S.C. Drumheller, L. Barta. Moisture performance of energy-efficient and conventional wood-frame wall assemblies in a mixed-humid climate, Buildings, 5 (2015), pp. 759-782
Y. Li, H. Yu, T. Sharmin, H. Awad, M. Gu. lToward energy-efficient homes: evaluating the hygrothermal performance of different wall assemblies through a long-time field monitoring, Energy Build., 121 (2016), pp. 43-56
P. Pihelo, H. Kikkas, T. Kalamees. Hygrothermal performance of highly insulated timber-frame external wall, Energy Procedia, 96 (2016), pp. 685-695
J. Smegal, G. Finch, A. Nieto, C. Schumacher. Comparing the enclosure wall performance of low-permeance exterior insulation to high-permeance exterior insulation in the Pacific Northwest, P. Mukhopadhyaya, D. Fisler (Eds.), Advances in Hygrothermal Performance of Building Envelopes: Materials, Systems and Simulations, STP1599-EB, ASTM International, West Conshohocken, PA (2017), pp. 95-121
T. Trainor, J. Straube, J. Smegal, A. Parekh. Measured and predicted moisture performance of high-R wall assemblies in cold climates, Thermal Performance of the Exterior Envelopes of Whole Buildings XII International Conference, Florida, USA (2016)
M. Salonvaara, A. Karagiozis, A. Holm. Stochastic building envelope modelling-the influence of material properties, Proceedings for Performance of Exterior Envelopes of Whole Building Ⅷ: Integration of Building Envelope, Clearwater Beach, Florida, USA (2001)
A. Holm, H.M. Kunzel. Practical application of an uncertainty approach for hygrothermal building simulations—drying of an AAC flat roof, Build. Environ., 37 (8–9) (2002), pp. 883-889
J. Zhao, R. Plagge, A. Nicolai, J. Grunewald, J.S. Zhang. Stochastic study of hygrothermal performance of a wall assembly-the influence of material properties and boundary coefficients, HVAC R Res., 17 (4) (2011), pp. 591-601
T. Defraeye, B. Blocken, J. Carmeliet. Influence of uncertainty in heat–moisture transport properties on convective drying of porous materials by numerical modelling, Chem. Eng. Res. Des., 91 (1) (2013), pp. 36-42
N.M.M. Rmos, J. Grunewald. Subtask1: Stochastic Data, Annex 55 Reliability of Energy Efficient Building Retrofitting- Probability Assessment of Performance and Cost (RAP-RETRO), Charmers University of Technology, Gothenburg, Sweden (2015)
H. Janssen, S. Roels, L. Van Gelder, P. Das. Subtask2: Probabilistic Tools, Annex 55 Reliability of Energy Efficient Building Retrofitting- Probability Assessment of Performance and Cost (RAP-RETRO), Charmers University of Technology, Gothenburg, Sweden (2015)
A.S. Kalagasidis, C. Rode. Subtask3: Framework for Probabilistic Assessment of Performance of Retrofitted Building Envelopes, Annex 55 Reliability of Energy Efficient Building Retrofitting- Probability Assessment of Performance and Cost (RAP-RETRO), Charmers University of Technology, Gothenburg, Sweden (2015)
T. Bednar, C. Hagentoft. Subtask4: Risk Management by Probabilistic Assessment Development of Guidelines for Practice, Annex 55 Reliability of Energy Efficient Building Retrofitting- Probability Assessment of Performance and Cost (RAP-RETRO), Charmers University of Technology, Gothenburg, Sweden (2015)
Z. Sadovsky, O. Koronthalyova, P. Matiasovsky, K. Mikulov. aProbabilistic modelling of mold growth in buildings, Build. Phys., 37 (4) (2014), pp. 348-366
L. Van Gelder, H. Janssen, S. Roels. Probabilistic design and analysis of building performances: methodology and application examples, Energy Build., 79 (2014), pp. 202-211
H. Sulaiman, F. Olsina. Comfort reliability evaluation of building designs by stochastic hygrothermal simulation, Renew. Sustain. Energy Rev., 40 (2014), pp. 171-184
E. Vereecken, L. Van Gelder, H. Janssen, S. Roels. Interior insulation for wall retrofitting- a probabilistic analysis of energy savings and hygrothermal risks, Energy Build., 89 (2015), pp. 231-244
A. Tijskens, H. Janssen, S. Roels. A simplified dynamic zone model for a probabilistic assessment of hygrothermal risks in building components, Energy Procedia, 132 (2017), pp. 717-722
S. Ilomets, T. Kalamees, J. Vinha. Indoor hygrothermal loads for the deterministic and stochastic design of the building envelopes for dwelling in cold climates, Build. Phys., 41 (6) (2018), pp. 547-577
V. Marincioni, G. Marra, H. Altamirano-Medina. Development of predictive models for the probabilistic moisture risk assessment of internal wall insulation, Build. Environ., 137 (2018), pp. 257-267
L. Wang, H. Ge. Hygrothermal performance of cross-laminated timber wall assemblies: a stochastic approach, Build. Environ., 97 (2015), pp. 11-25
L. Wang, H. Ge. Effect of air leakage on the hygrothermal performance of highly insulated wood frame walls: comparison of air leakage modelling methods, Build. Environ., 123 (2017), pp. 363-377
M. Fox. Hygrothermal Performance of Highly Insulated Wood Frame Walls with Air Leakage: Field Measurement and Simulations, Master’s Thesis, Ryerson University, Toronto, Canada (2014)
ASHRAE. ANSI/ASHRAE Standard 160-2016. Criteria for Moisture-control Design Analysis in Buildings, ASHRAE (2016)
DELPHIN. Version 5.8.3. PC-program for Calculating the Coupled Heat and Moisture Transfer in Building Components, Dresden University of Technology (2015)
H.M. Kunzel. Modelling air leakage in hygrothermal envelope simulation, Building Enclosure Science & Technology (BEST3) Conference, Atlanta, USA (2012), ASHRAE
ASHRAE Handbook: Fundamentals, ASHRAE (2013)
M.K. Kumaran, J.C. Lackey, N. Normandin, F. Tariku, D. van Reenen. Variation in the hygrothermal properties of several wood-based building products, Second International Building Physics Conference, Leuven, Belgium (2003)
P. Mukhopadhyaya, M.K. Kumaran, J.C. Lackey, D. van Reenen, F. Tariku. Hygrothermal Properties of Exterior Claddings, Sheathing Boards, Membranes and Insulation Materials for Building Envelope Design, NRCC-50287, National Research Council of Canada, Ottawa, Canada (2007)
S. Emmerich, A. Persily. Analysis of U.S. commercial building envelope air leakage database to support sustainable building design, Int. J. Vent., 12 (4) (2014), pp. 331-344
T. Ojanen, R. Viitanen, K. Peuhkuri, K. Lahdesmaky, J. Vinha, K. Salminen. Mold growth modelling of building structures using sensitivity classes materials, Thermal Performance of Exterior Envelopes of Whole Building XI International Conference, Clearwater Beach, Florida, USA (2010)
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