Data in support of energy performance of double-glazed windows

Mahmoud Shakouri; Saeed Banihashemi

doi:10.1016/j.dib.2016.03.094

Data in support of energy performance of double-glazed windows

Data Brief. 2016 Apr 4:7:1139-42. doi: 10.1016/j.dib.2016.03.094. eCollection 2016 Jun.

Authors

Mahmoud Shakouri¹, Saeed Banihashemi²

Affiliations

¹ School of Civil and Construction Engineering, Oregon State University, 220 Owen Hall, Corvallis, OR 97331, United States.
² School of Built Environment, University of Technology Sydney, 15 Broadway, Ultimo, NSW 2007, Australia.

Abstract

This paper provides the data used in a research project to propose a new simplified windows rating system based on saved annual energy ("Developing an empirical predictive energy-rating model for windows by using Artificial Neural Network" (Shakouri Hassanabadi and Banihashemi Namini, 2012) [1], "Climatic, parametric and non-parametric analysis of energy performance of double-glazed windows in different climates" (Banihashemi et al., 2015) [2]). A full factorial simulation study was conducted to evaluate the performance of 26 different types of windows in a four-story residential building. In order to generalize the results, the selected windows were tested in four climates of cold, tropical, temperate, and hot and arid; and four different main orientations of North, West, South and East. The accompanied datasets include the annual saved cooling and heating energy in different climates and orientations by using the selected windows. Moreover, a complete dataset is provided that includes the specifications of 26 windows, climate data, month, and orientation of the window. This dataset can be used to make predictive models for energy efficiency assessment of double glazed windows.

Keywords: Energy; Energy efficiency; Energy savings; Optimization; Residential buildings; Window.