2022 May (and Fall)

May (like the other months this year) has been cloudy with a fair bit of rain, although we generated about what we did last year (349kWh in 2022 vs 358kWh in 2021). The split system was sheduled to heat to ~ 22 °C during the day (~ 10:00 - 17:00) and the HRV was mainly in the 'heating' season. School is back so the kids were at school, but one parent was often working from home. While the outdoor temperature was mainly cool, we had a few really warm days which lead to a bit less time in range, but in was a comfortable month inside!

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.


Just for reference... these are the fall 2022 plots (March, April & May combined).





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