2020 December
The end of the calendar year! The revised scripts were helping with the turnaround time... now I just ahev to get the JSON interface to wirelesstags working. By way of a random COVID update... Holiday time, so everyone was home (and due to the latest outbreak we do mean home) for the last couple weeks of the year!
The wet and cool weather hit us hitting our solar generation, but making it easier to keep the house temeprature in range without using the A/C.
| Inside / Outside | % < 20 °C | % 20 - 25 °C | % > 25 °C |
|---|---|---|---|
| inside | 1% | 98% | 2% |
| outside | 53% | 34% | 12% |
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 and door data are not included.
| Inside / Outside | Min | 5% | 25% | Median | 75% | 95% | Max |
|---|---|---|---|---|---|---|---|
| inside | 20 | 21 | 22 | 23 | 24 | 25 | 26 |
| outside | 12 | 15 | 17 | 20 | 23 | 28 | 33 |
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 and door data are not included.
Monthly electricity data. We generated 452kWh, we used 375kWh, so we were net energy producers for the month (2.5kWh/day). Because we don't have batteries, we exported 241kWh and imported 164kWh.
