This is somewhat similar and somewhat different to what I’ve written before, so sorry for any redundancy. I’d love some way to reasonably estimate how changes to my thermostat settings impact runtime, based on my own real data, with some way to remove the effect of other variables like outdoor temp differences day to day.
An example of what I’d hope to answer is the age old debate about setbacks, and whether it saves money (or at least runtime) to have a certain setback overnight, while at work, etc. Intuitively, it seems like there should be a way to get a reasonably solid answer on an individual basis, as it’s probably a different answer for each home and each hvac system.
I’d ideally like to run a group of settings for a week, a month, whatever, and then change them and let them run for a second week, month, etc. and have Beestat be able to tell me that one or the other was X% more efficient, correcting for outdoor temperature variations.
Basically, it seems to me that there are a huge number of settings and variables that will all produce adequate and subjectively indistinguishable comfort, but they can’t all be equally efficient.
Maybe this is too complex to be realistic, but then again y’all are the data wizards and I’m not. So just throwing it out there.