Daylighting 01-Advances in Simulation_August 7.mp4

Chair: Elizabeth Gillmor

Presenters:

The Artificial Neural Networks Potential to Modeling Daylighting Harvesting for Buildings Located in Different Climates

Konstantinos Papamichael, University of California, Davis, USA

Using SPOT Pro to Maximize Energy Savings from Photosensor Control Systems

Zack Rogers, Daylighting Innovations, LLC, USA

Using HDR Sky Luminance Maps to Improve Accuracy of Virtual Work Plane Illuminance Sensors

Christian Humann, Terrestrial Light, USA

A Framework to Support the Development of Manually Adjustable Light Shelves

Shamim Javed, Virginia Tech, USA

An Embedded System for Quasi Real-time Lighting Computation based on Sky Monitoring

Yujie Wu, EPFL, Switzerland

Evaluating Daylight Glare and Identifying Its Dominant Cause in ComputerBased Office Task Environment

Jae Yong Suk, University of Texas at San Antonio, USA