2021 August (+ Winter)

Winter is done, but lockdown version 2.0 is not. In August the split system ran as a heater for most of the month from ~9:45am until 3:30pm, scheduled to take advantage of the solar production during that part of the day. On cooler nights we kept it on set to 19 °C. The HRV is working well and doing a great job of keeping the house in the comfort zone, although the gound floor is consistently a few degrees cooler than the top floor. During August we were all at home in our second significant COVID lockdown (and going a bit crazy).

I am going to change to a more graphic heavy format.

Temperature from inside and outside the house as the percentage of hours in 0.5 °C bins. I've scaled the temperature in hopes that they will be comparable across 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 'boxplot' to create the plot. The plots show individual days as points, with the grey bar covering the middle 50% of the data, the horizontal black line is the middle of the data (median), and the whiskers extend to the farthest points from the median that are not more than 1.5 times the interquartile range.

Since it is the end of a season... the same plots, but for the seasonal data:

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