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This product is a PDF that contains links to files that consist of PowerPoint slides synchronized with the audio-recording of the speaker (recorded presentation), PDF files of the slides, and audio only (mp3) as noted.

The ability to accurately predict building thermal dynamics and energy performance has gained momentum in recent years. This conference paper session will present neural networks as a tool to model building energy use, with an emphasis on variability of model accuracy depending on parameter inputs. The session will also examine various dynamic shading systems and determine their effectiveness in reducing thermal loads in buildings. A combined dynamic shading system will also be proposed for improved control.

Neural Networks Approach for Energy Consumption in Air-Conditioned Administrative Building (CH-12-C033)
Essam E. Khalil, Ph.D., Fellow ASHRAE, Ahmed Medhat, Ph.D., Member, Samy M. Morkos, Ph.D., Mohamed Yafai Salem, P.Eng.
This product contains: Slides (pdf) Recorded Presentation Audio (mp3)

The Impact of a Combined Dynamic Shading System on the Thermal Performance of Building Perimeter Zones (CH-12-C034)
Sagar Rao, Student Member, Athanasios Tzempelikos
This product contains: Slides (pdf) Recorded Presentation Audio (mp3)

Citation: ASHRAE Seminar Recording, 2012 Winter Conference, Chicago, IL