Analysis of Window Components Affecting U-Value Using Thermal Transmittance Test Results and Multiple Linear Regression Analysis
Joint Authors
Source
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-7, 7 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-05-02
Country of Publication
Egypt
No. of Pages
7
Main Subjects
Abstract EN
Currently, global warming is accelerating, and many countries are trying to reduce greenhouse emission by enforcing low energy building.
And the thermal performance of the windows is one of the factors that greatly influence the heating and cooling energy consumption of buildings.
According to the development of the window system, the thermal performance of the windows is greatly improved.
There are simulations and tests for window thermal performance evaluation techniques, but both are time consuming and costly.
The purpose of this study is to develop a convenient method of predicting U-value at the window system design stage by multiple linear regression analysis.
532 U-value test results were collected, and window system components were set as independent values.
As a result, the number of windows (single or double) among the components of the window has the greatest effect on the U-value.
In this research, two regression equations for predicting U-value of window system were suggested, and the estimated standard errors of equations were 0.2569 in single window and 0.2039 in double window.
American Psychological Association (APA)
No, Sang-Tae& Seo, Jun-Sik. 2018. Analysis of Window Components Affecting U-Value Using Thermal Transmittance Test Results and Multiple Linear Regression Analysis. Advances in Civil Engineering،Vol. 2018, no. 2018, pp.1-7.
https://search.emarefa.net/detail/BIM-1115469
Modern Language Association (MLA)
No, Sang-Tae& Seo, Jun-Sik. Analysis of Window Components Affecting U-Value Using Thermal Transmittance Test Results and Multiple Linear Regression Analysis. Advances in Civil Engineering No. 2018 (2018), pp.1-7.
https://search.emarefa.net/detail/BIM-1115469
American Medical Association (AMA)
No, Sang-Tae& Seo, Jun-Sik. Analysis of Window Components Affecting U-Value Using Thermal Transmittance Test Results and Multiple Linear Regression Analysis. Advances in Civil Engineering. 2018. Vol. 2018, no. 2018, pp.1-7.
https://search.emarefa.net/detail/BIM-1115469
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1115469