2022 June

June was cold (the coldest hour was 2 °C and warmest hour was 19.7 °C). The split system was on (set to 23 °C during our typical winter solar generation period (10:00 am - 3:30pm),  21 °C overnight (9pm - 6am), and off during the peak periods) and the HRV was solidly in 'heating' season all month. School is back so the kids were at school, but on most days one parent was working from home.

We were open for the International Passive House Open Days (June 25) and we had ~ 100 people through the house. Lots of people were very interested in Passive Houses as comfortable / affordable dwellings. We will likely be hosting visitors in November (11-13) as well.

Temperature from inside and outside the house as the percentage of hours in 0.5 °C bins. I've scaled the temperature in hope that I will be able to use the same axes for all months.



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 the wirelessTag sensors spread across nearly 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.

Energy production and consumption: 1. total daily consumption daily energy production, 2. daily net energy production, and 3. energy independence (which is the percentage of our daily consumption that is met directly by our solar panels).



Methods: Data are taken from the Enphase Enlighten system. This reports solar generation and electricity consumption as well as import from and export to the grid in 15 minute intervals. The R function 'aggregate' is used to create daily values and the function 'vioplot' to create the plots. The plots show individual days as points, with the vertical black bar covering the middle 50% of the data, the big white circle is the middle of the data (median), the whiskers extend to the farthest points from the median that are not more than 1.5 times the interquartile range, and the grey 'violin' shows the distribution of the datapoints where the narrow portions indicates few datapoints and a wide portion indicates more commonly occurrence... much like a histogram.


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