Window retrofit strategy for energy saving in existing residences with different thermal characteristics and window sizes

An adequate window system is one of the most important retrofit strategies for effective energy conservation of a building, because the U-value and solar heat gain coefficient of windows have enormous impact on the heating and cooling loads of buildings. Therefore, this paper presents methods for improving the energy efficiency of existing residences that have various window sizes and envelope insulations, through a window retrofit using optimal U-value and solar heat gain coefficient values. Furthermore, the window retrofit strategy has been standardized using analysis of the correlation between the properties of the retrofitted window and energy saving rates. The results show that the annual heating and cooling energy demand decreases by 7.9–16.7% when changing the U-value of the windows in a poorly insulated house, and that the relationship between the lower U-value and energy saving is strong for poorly insulated houses regardless of window size. However, for houses with better insulation and larger window sizes, the total energy usage decreases by 18.4–29.7% when the solar heat gain coefficient is lower, and the energy saving effect of the U-value decreases while that of the solar heat gain coefficient increases. Practical application: This study was focused on improving the energy efficiency of existing residences by applying retrofitting technology. By exploration of the contribution of the specific qualities of windows and the thermal envelope (insulation) system of buildings via simulation, it was determined that it is necessary to adjust the U-value and SHGC of retrofitted windows, in relation to the thermal performance and window-wall ratio of an existing residence, to achieve high energy efficiency.

[1]  Pietro Di Lena,et al.  Optimal global alignment of signals by maximization of Pearson correlation , 2010, Inf. Process. Lett..

[2]  S. Gamtessa,et al.  An explanation of residential energy-efficiency retrofit behavior in Canada , 2013 .

[3]  S. Tassou,et al.  Measures used to lower building energy consumption and their cost effectiveness , 2002 .

[4]  Luis C. Dias,et al.  A multi-objective optimization model for building retrofit strategies using TRNSYS simulations, GenOpt and MATLAB , 2012 .

[5]  Athanasios Tzempelikos,et al.  Indoor thermal environmental conditions near glazed facades with shading devices – Part I: Experiments and building thermal model , 2010 .

[6]  Cinzia Buratti,et al.  Unsteady simulation of energy performance and thermal comfort in non-residential buildings , 2013 .

[7]  Vu Duc Hien,et al.  Thermal performance and cost effectiveness of massive walls under thai climate , 2011 .

[8]  Maurizio Cellura,et al.  Energy and environmental benefits in public buildings as a result of retrofit actions , 2011 .

[9]  Arild Gustavsen,et al.  Windows in the Buildings of Tomorrow; Energy Losers or Energy Gainers? , 2013 .

[10]  Sungho Tae,et al.  Current work and future trends for sustainable buildings in South Korea , 2009 .

[11]  Hyung-Jo Jung,et al.  Optimization of building window system in Asian regions by analyzing solar heat gain and daylighting elements , 2013 .

[12]  Paul Cooper,et al.  Existing building retrofits: Methodology and state-of-the-art , 2012 .

[13]  A. Moret Rodrigues,et al.  Solar and visible optical properties of glazing systems with venetian blinds: Numerical, experimental and blind control study , 2014 .

[14]  Firoz Alam,et al.  Effect of Climates and Building Materials on House Wall Thermal Performance , 2013 .

[15]  J. Rodgers,et al.  Thirteen ways to look at the correlation coefficient , 1988 .

[16]  Seunghwan Yoo,et al.  Effect of LED lighting on the cooling and heating loads in office buildings , 2014 .

[17]  Yuming Liu,et al.  Effects of energy conservation and emission reduction on energy efficiency retrofit for existing residence: A case from China , 2013 .

[18]  Kostas Laskos,et al.  Assessing cooling energy performance of windows for residential buildings in the Mediterranean zone , 2012 .

[19]  Jan Hensen,et al.  Considerations on design optimization criteria for windows providing low energy consumption and high visual comfort , 2012 .

[20]  Cheol-Yong Jang,et al.  Thermal transmittance of window systems and effects on building heating energy use and energy efficiency ratings in South Korea , 2013 .

[21]  Arman Hashemi,et al.  The Effects of Air Permeability, Background Ventilation and Lifestyle on Energy Performance, Indoor Air Quality and Risk of Condensation in Domestic Buildings , 2015 .

[22]  Ergo Pikas,et al.  Facade design principles for nearly zero energy buildings in a cold climate , 2013 .

[23]  Andrea Gasparella,et al.  Analysis and modelling of window and glazing systems energy performance for a well insulated residential building , 2011 .

[24]  Manuela Guedes de Almeida,et al.  Development of prefabricated retrofit module towards nearly zero energy buildings , 2013 .

[25]  Kostas Laskos,et al.  Assessing cooling energy performance of windows for office buildings in the Mediterranean zone , 2012 .

[26]  Cinzia Buratti,et al.  Evolutive Housing System: refurbishment with new technologies and unsteady simulations of energy performance , 2014 .

[27]  Basak Gucyeter,et al.  Optimization of an envelope retrofit strategy for an existing office building , 2012 .

[28]  Ecem Edis,et al.  Assessing the effect of facade variations on post-construction period environmental sustainability of residential buildings , 2013 .