This product is a zip file that contains files that consist of PowerPoint slides synchronized with the audio-recording of the speaker, PDF files of the slides, and audio only (mp3 format) as noted.
Occupants represent one of the highly variable factors in buildings that can significantly impact their energy use, as the HVAC system is design to adjust the internal conditions and ventilation rates to the presence and/or count of occupants in a space. This presentation will provide an update on the progress of several teams of researchers, who are developing and testing low-cost, high-reliability occupancy sensors that meet stringent cost and reliability requirements across 4 categories, including (A) residential building presence sensing, (B) commercial building occupancy counting, and (C) commercial building CO2 sensing.
- 1. (Category A): Battery-Free RFID Sensor Network with Spatiotemporal Pattern Network Based Data Fusion System
Anthony Florita, Ph.D., Member, National Renewable Energy Laboratory, Golden, CO - 2. (Category B): Development of Vision Based Occupancy Sensing System for HVAC Applications
Michael Gevelber, Ph.D., Member, Boston University, Boston, MA - 3. (Category C): Simulation, Testing and Evaluation of Occupancy Sensor Systems
Zheng O’Neill, Ph.D., P.E., Member, Texas A&M University, College Station, TX
Citation: ASHRAE 2020 Virtual Seminar
Product Details
- Published:
- 2020
- Units of Measure:
- Dual
- File Size:
- 1 file , 120 MB
- Product Code(s):
- D-VC20Sem27
