2020 January

Another month of house data... Averaged hourly outdoor temperature ranged from 15 to 46 °C. Averaged hourly indoor temperature ranged from 19 to 30 °C.

We used the A/C a fair bit this month, mainly when night time temperatures didn't drop or when the day time temperatures climbed into the mid-40's. I have a temperature sensor which is deployed so that I can identify the hours during which the A/C is on...but I have not yet written that R script (something else on my extensive to do list). The default setting for the AC is 23 °C. The summary data for sensors nearest the A/C indicate those areas were above the 25 °C only 18% of the hours of the month where the other sensors were over 25 °C 36% of the hours. That suggests that we ran the A/C about half of the hot days. We had some really hot day this month, and some exceptionally hot nights too.


Inside / Outside% < 20 °C% 20 - 25 °C% > 25 °C
Inside06634
Outside244232

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 in the cubby house, outside, and HRV intake. The water wall, clerestory and door data are not included.


Inside / OutsideMin5%25%Median75%95%Max
Inside 20.2 21.3 23.0 24.3 25.4 27.3 28.9
Outside15.5 17.5 20.5 22.5 26.7 34.1 44.5

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.

Popular posts from this blog

Temperature (Out vs. Old vs. New)

Image
I have fielded more than a few questions about the temperature of our passive house versus the temperature of the house that we lived in prior (on the same lot).  So I've used the data I had on hand which is temperature (°C) recorded every 5 minutes over since October 2012. For the sake of consistency I am only using the NetAtmo sensors that I have had for that entire period. So I only have one outside sensor and one inside sensor located in the the respective living room. The outside sensor moved around a bit, but it should be good enough.  I've converted those measurements to hourly averages.  This ends up being ~ 66,955 hours to play with (52,232 hours from the original house, 14,723 hours from the passive house). I've left the rental house out of this comparison, but it was disturbing like the original house despite being ~ 20 years old. The key take-home messages: The passive house a much less variation in temperature than the original house (or outside).  In the summe
Read more

international passive house open day...

We had ~49 people come through the house for one of the International Passive House open days of 2019. As the event is not as widely publicised as Sustainable house day when we had more than 200 people through. The visitors who came through for this open house tended to already know a fair bit about passive houses (with many dragging along family members who they were working to convince of the merits of passive house living). Lots of the visitors were already planning or working on projects that were including passive house principles.
Read more

Water wall...

... Currently a work in progress... Thermal Mass A material’s capacity to absorb, store and release heat. Thermal mass is typically used to moderate temperature extremes by releasing heat when the home is cool and absorbing heat when the home is warm. Specific heat capacity A material's capacity to store heat (measured per unit mass). Some materials are better at storing heat than others. Water can store 4× as much heat per kilogram as concrete. Density Mass per unit volume (mass / volume). Denser materials have more mass per volume so they can make up in density what they lack in specific heat capacity. Concrete has twice as much mass per m3 as water. Thermal conductivity The ease with which heat travels through a material. Ideally, thermal conductivity should be moderate so that the absorption and release of heat synchronises with the building's heating and cooling cycle. Both water and concrete are highly effective! In comparison, steel and water hold a similar a
Read more