1,237 Matching Results

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[Roundtable Writer's Breakfast Photograph UNTA_AR0797-173-006-0107]

Photograph taken at the Roundtable Writer's Breakfast held by The Black Academy of Arts and Letters in Dallas, Texas.
Date: January 9, 2010
Creator: unknown
Object Type: Photograph
System: The UNT Digital Library

[Roundtable Writer's Breakfast Photograph UNTA_AR0797-173-006-0108]

Photograph taken at the Roundtable Writer's Breakfast held by The Black Academy of Arts and Letters in Dallas, Texas.
Date: January 9, 2010
Creator: unknown
Object Type: Photograph
System: The UNT Digital Library

[Roundtable Writer's Breakfast Photograph UNTA_AR0797-173-006-0109]

Photograph taken at the Roundtable Writer's Breakfast held by The Black Academy of Arts and Letters in Dallas, Texas.
Date: January 9, 2010
Creator: unknown
Object Type: Photograph
System: The UNT Digital Library

[Roundtable Writer's Breakfast Photograph UNTA_AR0797-173-006-0110]

Photograph taken at the Roundtable Writer's Breakfast held by The Black Academy of Arts and Letters in Dallas, Texas.
Date: January 9, 2010
Creator: unknown
Object Type: Photograph
System: The UNT Digital Library

[Roundtable Writer's Breakfast Photograph UNTA_AR0797-173-006-0111]

Photograph taken at the Roundtable Writer's Breakfast held by The Black Academy of Arts and Letters in Dallas, Texas.
Date: January 9, 2010
Creator: unknown
Object Type: Photograph
System: The UNT Digital Library

[Roundtable Writer's Breakfast Photograph UNTA_AR0797-173-006-0112]

Photograph taken at the Roundtable Writer's Breakfast held by The Black Academy of Arts and Letters in Dallas, Texas.
Date: January 9, 2010
Creator: unknown
Object Type: Photograph
System: The UNT Digital Library

[Roundtable Writer's Breakfast Photograph UNTA_AR0797-173-006-0113]

Photograph taken at the Roundtable Writer's Breakfast held by The Black Academy of Arts and Letters in Dallas, Texas.
Date: January 9, 2010
Creator: unknown
Object Type: Photograph
System: The UNT Digital Library

[Roundtable Writer's Breakfast Photograph UNTA_AR0797-173-006-0114]

Photograph taken at the Roundtable Writer's Breakfast held by The Black Academy of Arts and Letters in Dallas, Texas.
Date: January 9, 2010
Creator: unknown
Object Type: Photograph
System: The UNT Digital Library

[Roundtable Writer's Breakfast Photograph UNTA_AR0797-173-006-0115]

Photograph taken at the Roundtable Writer's Breakfast held by The Black Academy of Arts and Letters in Dallas, Texas.
Date: January 9, 2010
Creator: unknown
Object Type: Photograph
System: The UNT Digital Library

[Roundtable Writer's Breakfast Photograph UNTA_AR0797-173-006-0116]

Photograph taken at the Roundtable Writer's Breakfast held by The Black Academy of Arts and Letters in Dallas, Texas.
Date: January 9, 2010
Creator: unknown
Object Type: Photograph
System: The UNT Digital Library

[Roundtable Writer's Breakfast Photograph UNTA_AR0797-173-006-0117]

Photograph taken at the Roundtable Writer's Breakfast held by The Black Academy of Arts and Letters in Dallas, Texas.
Date: January 9, 2010
Creator: unknown
Object Type: Photograph
System: The UNT Digital Library

[Roundtable Writer's Breakfast Photograph UNTA_AR0797-173-006-0118]

Photograph taken at the Roundtable Writer's Breakfast held by The Black Academy of Arts and Letters in Dallas, Texas.
Date: January 9, 2010
Creator: unknown
Object Type: Photograph
System: The UNT Digital Library
Study on Auto-DR and Pre-Cooling of Commercial Buildings with Thermal Mass in California (open access)

Study on Auto-DR and Pre-Cooling of Commercial Buildings with Thermal Mass in California

This paper discusses how to optimize pre-cooling strategies for buildings in a hot California climate zone with the Demand Response Quick Assessment Tool (DRQAT), a building energy simulation tool. This paper outlines the procedure used to develop and calibrate DRQAT simulation models, and applies this procedure to eleven field test buildings. The results of a comparison between the measured demand savings during the peak period and the savings predicted by the simulation model indicate that the predicted demand shed match well with measured data for the corresponding auto-demand response (Auto-DR) days. The study shows that the accuracy of the simulation models is greatly improved after calibrating the initial models with measured data. These improved models can be used to predict load reductions for automated demand response events. The simulation results were compared with field test data to confirm the actual effect of demand response strategies. Results indicate that the optimal demand response strategies worked well for most of the buildings tested in this hot climate zone.
Date: January 9, 2010
Creator: Yin, Rongxin; Xu, Peng; Piette, Mary Ann & Kiliccote, Sila
Object Type: Article
System: The UNT Digital Library