A Method for Rapid Evaluation of Thermal Performance of Wall Assemblies Based on Geographical Location

In this study, we present a method for the rapid evaluation of thermal performance of building envelopes without the need of using sophisticated and time-consuming computational modeling. The proposed approach is based on the prediction of monthly energy balances per unit area of a wall assembly using monthly averages of temperature and relative humidity, as well as the elevation of a building’s location. Contrary to most other methods, the obtained results include how moisture content in the wall effects its thermal performance. The developed formulas for calculation of monthly energy balances are verified for nine commonly used wall assemblies in Central Europe in 10 randomly selected locations. The observed agreement of the predicated data was determined using advanced finite-element simulation tools and hourly climatic data, which makes for good prerequisites for the further application of the method in both research and building practices.

[1]  Robert Černý,et al.  Effect of hydrophilic admixtures on moisture and heat transport and storage parameters of mineral wool , 2006 .

[2]  Elvira Ianniello,et al.  U-value in situ measurement for energy diagnosis of existing buildings , 2015 .

[3]  C. Caruana,et al.  Determination of thermal characteristics of standard and improved hollow concrete blocks using different measurement techniques , 2017 .

[4]  Targo Kalamees,et al.  Estonian test reference year for energy calculations , 2006, Proceedings of the Estonian Academy of Sciences. Engineering.

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

[6]  Jaroslav Kruis,et al.  Parallel modeling of hygrothermal performance of external wall made of highly perforated bricks , 2017, Adv. Eng. Softw..

[7]  David E. Nye,et al.  Consumption of Energy , 2012 .

[8]  Dario Ambrosini,et al.  The thermophysical behaviour of cork supports doped with an innovative thermal insulation and protective coating: A numerical analysis based on in situ experimental data , 2018 .

[9]  Jaroslav Kruis,et al.  Efficient computer implementation of coupled hydro-thermo-mechanical analysis , 2010, Math. Comput. Simul..

[10]  Jonathan Shi,et al.  Artificial Intelligent Models for Improved Prediction of Residential Space Heating , 2016 .

[11]  Eva Vejmelková,et al.  Application of waste ceramic dust as a ready-to-use replacement of cement in lime-cement plasters: an environmental-friendly and energy-efficient solution , 2016, Clean Technologies and Environmental Policy.

[12]  Anthony J. Robinson,et al.  Compact facility for testing steady and transient thermal performance of building walls , 2017 .

[13]  A. Rabl,et al.  Energy-efficient gas-heated housing in France: predicted and observed performance , 1991 .

[14]  X. Gu,et al.  Thermal and hygric assessment of an inside-insulated brick wall: 2D critical experiment and computational analysis , 2018 .

[15]  Annette M. Harte,et al.  Quantification of heat losses through building envelope thermal bridges influenced by wind velocity using the outdoor infrared thermography technique , 2017 .

[16]  Ákos Lakatos,et al.  Analysis of the change of the specific heat loss coefficient of buildings resulted by the variation of the geometry and the moisture load , 2016 .

[17]  Bernard Marie Lachal,et al.  Predicted versus observed heat consumption of a low energy multifamily complex in Switzerland based on long-term experimental data , 2004 .

[18]  Anthony J. Robinson,et al.  Transient and quasi-steady thermal behaviour of a building envelope due to retrofitted cavity wall and ceiling insulation , 2013 .

[19]  Henrik Madsen,et al.  On site characterisation of the overall heat loss coefficient: Comparison of different assessment methods by a blind validation exercise on a round robin test box , 2017 .

[20]  Oliver Kinnane,et al.  A new transient method for determining thermal properties of wall sections , 2017 .

[21]  R. Černý,et al.  Pore Structure and Thermal Characteristics of Clay Bricks , 2014 .

[22]  María del P. Pablo-Romero,et al.  Promoting renewable energy sources for heating and cooling in EU-27 countries , 2011 .

[23]  Mohammad Iqbal Khan,et al.  Factors affecting the thermal properties of concrete and applicability of its prediction models , 2002 .

[25]  Eva Vejmelková,et al.  Mechanical, fracture-mechanical, hydric, thermal, and durability properties of lime–metakaolin plasters for renovation of historical buildings , 2012 .

[26]  R. Černý,et al.  Application of Effective Media Theory for Determination of Thermal Properties of Hollow Bricks as a Function of Moisture Content , 2013 .

[27]  Thomas Olofsson,et al.  Overall heat loss coefficient and domestic energy gain factor for single-family buildings , 2002 .

[28]  Douglas John Harris,et al.  Full-scale measurements of convective coefficient on external surface of a low-rise building in sheltered conditions , 2007 .

[29]  Robert Černý,et al.  Effect of moisture content on heat and moisture transport and storage properties of thermal insulation materials , 2012 .

[30]  Geoff Levermore,et al.  Generation of typical weather data using the ISO Test Reference Year (TRY) method for major cities of South Korea , 2010 .

[31]  Eva Vejmelková,et al.  High performance concrete with Czech metakaolin: Experimental analysis of strength, toughness and durability characteristics , 2010 .

[32]  A. Miguel,et al.  Test Reference Year Generation and Evaluation Methods in the Continental Mediterranean Area , 2004 .