Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Commercial Building Energy Performance Analysis Using Multiple Regression Procedures
Regression analysis is used to define algebraic expressions which can be used to study the effects of various configuration parameters on building energy performance. The DOE-2.1B energy analysis simulation program was used in conjunction with a prototypical building modules to generate a large data base for five geographic locations. Configuration variables parameterized included orientation, wall and roof conductance, glazing properties of windows and skylights (area, U-value, shading coefficient, visible transmittance, well depth) and installed lighting power. Incremental effects due to external shading (overhangs) and daylighting were also examined. The modular concept used in the building definition permits generalization to configurations other than that analyzed and therefore the results can be used in studying building design trade-offs. (ERA citation 09:026210)
Commercial Building Energy Performance Analysis Using Multiple Regression Procedures
Regression analysis is used to define algebraic expressions which can be used to study the effects of various configuration parameters on building energy performance. The DOE-2.1B energy analysis simulation program was used in conjunction with a prototypical building modules to generate a large data base for five geographic locations. Configuration variables parameterized included orientation, wall and roof conductance, glazing properties of windows and skylights (area, U-value, shading coefficient, visible transmittance, well depth) and installed lighting power. Incremental effects due to external shading (overhangs) and daylighting were also examined. The modular concept used in the building definition permits generalization to configurations other than that analyzed and therefore the results can be used in studying building design trade-offs. (ERA citation 09:026210)
Commercial Building Energy Performance Analysis Using Multiple Regression Procedures
R. Sullivan (Autor:in) / S. Nozaki (Autor:in) / R. Johnson (Autor:in) / S. Selkowitz (Autor:in)
1983
24 pages
Report
Keine Angabe
Englisch
Architectural Design & Environmental Engineering , Heating & Cooling Systems , Commercial Buildings , Configuration , Daylighting , Energy Analysis , Energy Efficiency , Heat Gain , Heat Losses , Lighting Systems , Louisiana , Orientation , Regression Analysis , Shading , Skylights , Texas , Washington , Washington DC , Windows , Wisconsin , ERDA/320104
Commercial facility location model using multiple regression analysis
Online Contents | 1998
|ML-11-C045 Updated Procedures for Commercial Building Energy Audits
British Library Online Contents | 2011
|ML-11-C045 Updated Procedures for Commercial Building Energy Audits
British Library Conference Proceedings | 2011
|Commercial Facility Location Model by Using Multiple Regression Analysis
British Library Conference Proceedings | 1998
|Building America House Performance Analysis Procedures
NTIS | 2001
|