01603nas a2200133 4500008004100000050001900041245007200060210006900132260003300201520107800234100002101312700002701333856010901360 1985 eng d aLBL-19245 Rev.00aResidential Window Performance Analysis Using Regression Procedures0 aResidential Window Performance Analysis Using Regression Procedu aCopenhagen, Denmarkc08/19853 a

The development of a simplified algebraic expression that can be used to predict the effects ofsvarious window parameters on residential energy use is documented. A comprehensive parametric study of asprototypical single-family ranch-style house was performed using the DOE-2.1B energy analysis simulationsprogram. The data base generated for the study consisted of the heating, cooling, and total energy requirementssand subsequent costs due to changes in the fenestration characteristics of orientation, size, conductance,sand shading coefficient. Incremental effects due to shade management, night insulation, andsoverhangs were also part of the data base. Climate sensitivity was established by considering results fromsfour geographic locations representative of the climate extremes in the continental U.S. Multiple regressionstechniques were used to generate a simplified algebraic expression that relates energy use to thesparameters varied. This representation could form the basis for a simplified design tool for selectingsoptimal fenestration parameters.

1 aSullivan, Robert1 aSelkowitz, Stephen, E. uhttps://windows.lbl.gov/publications/residential-window-performance-analysis-using-regression-procedures