Adding gps-control to traditional thermostats: An exploration of potential energy savings and design challenges - M. Gupta, S. Intille
Article{Gupta2009,
author={Gupta, Manu and Intille, Stephen},
title={Adding gps-control to traditional thermostats: An exploration of potential energy savings and design challenges},
journal={Pervasive Computing},
year={2009},
publisher={Springer Berlin / Heidelberg},
volume={5538},
pages={95--114},
doi={10.1007/978-3-642-01516-8\_8},
url={http://www.springerlink.com/index/4165868p53978078.pdf},
url={http://dx.doi.org/10.1007/978-3-642-01516-8\_8}
}
Key Points
- Proposes the concept of "just-in-time" heating and cooling.
- GPS data from 8 participants for 8-12 weeks.
- Gathered heating characteristics from 5 homes for simulation
8 people from 4 different homes in Boston, MA were recruited. Each person worked outside of their respective homes and had their own car. GPS readings were recorded to get realistic data on trval patterns. Using gathered heating/cooling parameters, simulations of the houses waas performed. with heating and cooling tables produced from 3 days of training data. Using this data, realisitic arrival, departure, and travel times were gathered with heating schedules adjusted automatically to adjust setbakck times.
Heating and cooling properties were gathered using two Temperature and humidity loggers, and an electricity logger. Near thermostat and outside temperature were recorded. Electricity logger was attached to the thermostat o determine when the heating system was on. 3 days of training were performed with Thermostat set to 10C from 9AM-4:30PM, and 19.4-20.5C other times.
No modelling was used in this scenario, but the system showed 15-20% savings based upon given return times and lower temperatures.