2020 July
Another month of house data... The weather was down right cold, with some decent rainfall towards the end of the month. Of course the big news this month was still COVID-19 (2 adults working from home except for a couple of days), but the kids were at school half the month due to the winter school holidays. We have run the heater a fair bit to bring the house temperature up just a bit. We were using the ERV core all month as our part of data collection on the two cores in the Sydney climate.
Inside / Outside | % < 20 °C | % 20 - 25 °C | % > 25 °C |
---|---|---|---|
Inside | 14% | 86% | 0% |
Outside | 100% | 0% | 0% |
Methods: I have taken the 5 minutely data from the wirelessTag sensors and calculated the median temperature of each sensor 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 | 21 | 21 | 22 | 22 | 23 | 24 |
Outside | 4 | 6 | 9 | 12 | 14 | 16 | 22 |
Methods: I have taken the 5 minutely data from the wirelessTag sensors and calculated the median temperature of each sensor 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 360kWh , we used 485kWh, so we were net energy users for the month (4.0kWh/day). Because we don't have batteries, we exported 180kWh and imported 305kWh.