Heating, Ventilation, and Air Conditioning (HVAC) accounts for about half of the energy
consumption in buildings. HVAC energy consumption can be reduced by changing the
indoor air temperature setpoint, but changing the setpoint too aggressively can overly
reduce user comfort. We have therefore designed and implemented SPOT: a Smart Per-
sonalized O ce Thermal control system that balances energy conservation with personal
thermal comfort in an o ce environment. SPOT relies on a new model for personal ther-
mal comfort that we call the Predicted Personal Vote model. This model quantitatively
predicts human comfort based on a set of underlying measurable environmental and per-
sonal parameters. SPOT uses a set of sensors, including a Microsoft Kinect, to measure
the parameters underlying the PPV model, then controls heating and cooling elements
to dynamically adjust indoor temperature to maintain comfort. Based on a deployment
of SPOT in a real o ce environment, we nd that SPOT can accurately maintain per-
sonal comfort despite environmental
uctuations and allows a worker to balance personal
comfort with energy use.
| Identifer | oai:union.ndltd.org:LACETR/oai:collectionscanada.gc.ca:OWTU.10012/7573 |
| Date | January 2013 |
| Creators | Gao, Xiang |
| Source Sets | Library and Archives Canada ETDs Repository / Centre d'archives des thèses électroniques de Bibliothèque et Archives Canada |
| Language | English |
| Detected Language | English |
| Type | Thesis or Dissertation |
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