2020 September
Ooops... with all the various things going on I forgot to do the September summary. Slight change to the methodology this month (rather than calculating the hourly median for each sensor then taking the median of those I am directly calculating the median hourly temperature from all of the relevant sensors)...
| Inside / Outside | % < 20 °C | % 20 - 25 °C | % > 25 °C |
|---|---|---|---|
| inside | 7% | 91% | 2% |
| outside | 80% | 15% | 5% |
Methods: I have taken the 5 minutely data from the wirelessTag sensors and calculated the median temperature for each hour and determined the proportion of hours falling inside of the 20 - 25 °C target temperature (using the R functions 'aggregate' and 'hist'). Inside includes data from 12 wirelessTag sensors spread across every room of the house. Outside is the data from the wirelessTag sensors outside near the cubby house and HRV intake. The water wall, clerestory and door data are not included.
| Inside / Outside | Min | 5% | 25% | Median | 75% | 95% | Max |
|---|---|---|---|---|---|---|---|
| inside | 19 | 20 | 21 | 22 | 23 | 25 | 26 |
| outside | 4 | 8 | 12 | 15 | 19 | 24 | 31 |
Methods: I have taken the 5 minutely data from the wirelessTag sensors and calculated the median temperature for each hour and determined the indicated quantiles for each sensor (using the R functions 'aggregate' and 'quantile'). Inside includes data from 12 wirelessTag sensors spread across every room of the house. Outside is the data from the wirelessTag sensors in the cubby house, outside, and HRV intake. The water wall, clerestory and door data are not included.
Monthly electricity data. We generated 459kWh, we used 334kWh, so we were net energy producers for the month (4.2kWh/day). Because we don't have batteries, we exported 273kWh and imported 148kWh.
