Hygrothermal Risk Assessment - Retrofit of External Wall by the Application of Interior Insulation

Inside insulation of external walls of timber-framed construction is an adequate retrofitting measure in cases where there is an interest of preserving the existing facade. According to certain recommendations, and for the purpose of minimizing the work efforts, the additional insulation is placed directly on an existing wall, leaving the existing vapour retarder in the area that is substantially colder than before the retrofitting and thus increasing the risk of mould growth in the wall. The hygrothermal conditions inside the retrofitted wall are investigated for various indoor and outdoor conditions, and with and without indoor air intrusion in the wall. According to the results, 32% of 500 simulated scenarios obtained an annual average of relative humidity larger than the critical value for mould growth at the most critical spot inside the wall. The corresponding ratio was 43% in the wall assembly with an assumed air intrusion. Suggestions for the improvements of the moisture performance of the wall are also suggested. The used methodology of risk assessment is fully presented in the paper; it is of a general character and can be used in other retrofitting studies.

[1]  J. Kurnitski,et al.  The effects of ventilation systems and building fabric on the stability of indoor temperature and humidity in Finnish detached houses , 2009 .

[2]  Adrian G. Barnett,et al.  What Measure of Temperature is the Best Predictor of Mortality? , 2009 .

[3]  Kevin J. Lomas,et al.  Thermal comfort standards, measured internal temperatures and thermal resilience to climate change of free-running buildings: A case-study of hospital wards , 2012 .

[4]  J. Díaz,et al.  Comparison between two methods of defining heat waves: a retrospective study in Castile-La Mancha (Spain). , 2010, The Science of the total environment.

[5]  Amy P Abernethy,et al.  Minimization of heatwave morbidity and mortality. , 2013, American journal of preventive medicine.

[6]  Krystyna Pietrzyk Probability-Based Design in Ventilation , 2005 .

[7]  Olivia Guerra Santin,et al.  Behavioural Patterns and User Profiles related to energy consumption for heating , 2011 .

[8]  J. Bear,et al.  Introduction to Modeling of Transport Phenomena in Porous Media , 1990 .

[9]  M. Sandberg,et al.  Building Ventilation: Theory and Measurement , 1996 .

[10]  B. Olesen Indoor environmental input parameters for the design and assessment of energy performance of buildings , 2015 .

[11]  H. Künzel Simultaneous Heat and Moisture Transport in Building Components: One-and two-dimensional calculation , 1995 .

[12]  Olivier Jolliet,et al.  Climate change and health: indoor heat exposure in vulnerable populations. , 2012, Environmental research.

[13]  Eric P. Smith,et al.  An Introduction to Statistical Modeling of Extreme Values , 2002, Technometrics.

[14]  J. Nelson,et al.  The Final Report , 2005 .

[15]  Refrigerating ASHRAE handbook of fundamentals , 1967 .

[16]  Carl-Eric Hagentoft,et al.  Reliability analysis in building physics design. , 2008 .

[17]  Rudolf Plagge,et al.  A whole range hygric material model: Modelling liquid and vapour transport properties in porous media , 2010 .

[18]  Jan Carmeliet,et al.  CONSERVATIVE MODELLING OF THE MOISTURE AND HEAT TRANSFER IN BUILDING COMPONENTS UNDER ATMOSPHERIC EXCITATION , 2007 .

[19]  Carl-Eric Hagentoft,et al.  Probabilistic analysis of air infiltration in low-rise buildings. , 2008 .

[20]  Z. Sadovský,et al.  Probabilistic study of overheating discomfort in residential building , 2013 .

[21]  Krystyna Pietrzyk Probabilistic Modelling of Air Infiltration and Heat Loss in Low-Rise Buildings , 2000 .

[22]  Andreas Nicolai,et al.  Modeling and numerical simulation of salt transport and phase transitions in unsaturated porous building materials , 2008 .

[23]  Lorenzo Pagliano,et al.  A review of indices for the long-term evaluation of the general thermal comfort conditions in buildings , 2012 .

[24]  M. Mcgeehin,et al.  The potential impacts of climate variability and change on temperature-related morbidity and mortality in the United States. , 2001, Environmental health perspectives.

[25]  M. Liddament,et al.  A guide to energy efficient ventilation , 1996 .

[26]  Gavin J. Gibson,et al.  Simple Statistical Model for Complex Probabilistic Climate Projections: Overheating Risk and Extreme Events , 2011 .

[27]  A. Emery,et al.  A long term study of residential home heating consumption and the effect of occupant behavior on homes in the Pacific Northwest constructed according to improved thermal standards , 2006 .

[28]  A. Hwang [Thermal comfort]. , 1990, Taehan kanho. The Korean nurse.