Fall...
A new format, now that we have longer periods with comparable data... a work in progres...
Year | % < 20 °C | % 20 - 25 °C | % > 25 °C |
---|---|---|---|
2020 | 5% | 95% | 0% |
2021 | 5% | 94% | 1% |
Year | Min | 5% | 25% | Median | 75% | 95% | Max |
---|---|---|---|---|---|---|---|
2020 | 19 | 20 | 21 | 22 | 23 | 24 | 25 |
2021 | 18 | 20 | 22 | 22 | 23 | 24 | 26 |
Year | Min | 5% | 25% | Median | 75% | 95% | Max |
---|---|---|---|---|---|---|---|
2020 | 4 | 9 | 13 | 16 | 20 | 25 | 38 |
2021 | 4 | 8 | 13 | 17 | 19 | 24 | 34 |
Year | Produced | Consumed | Export | Import | Net |
---|---|---|---|---|---|
2020 | 12.7 | 12.7 | 6.6 | 6.5 | 0.0 |
2021 | 12.6 | 11.1 | 7.2 | 5.7 | 1.4 |
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. Electricity data from the Enlighten monitoring data.