2022 October

October, the month started as winter and ended as summer, and I am not sure that spring even managed to visit inbetween. The split system was off for all but a few days at the start of the month. The HRV transitioned from the 'heating' season to the 'cooling' season with only a week or so inbetween (when setting the definition of the cooling season I count nightime openning of the house to drop the temperature as cooling)... and there have been many evenings with open windows towards the end of the month. Outside temperatures ranged from 6.7 to 28.9 °C, while inside we were a comfortable 18.9 to 25.4 °C.

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 temperature range 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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