This was inspired by Technology Connections’ recent video on how most of the US has vastly oversized furnaces, which is holding back heat pump installation. BeeStat has a ton of information on furnace run time. What I would love is for it to be able to spit out a “recommended heating capacity” metric (and cooling for that matter). At a basic level:
- The user would input the tonnage of their current AC as well as the furnace BTUs and AFUE
- BeeStat iterates over the data it has available to it. On the coldest and warmest days of the year, it analyzes the data hour by hour. If it’s -5 degrees outside and the furnace is running only 20 minutes per hour, the furnace is oversized by 3x.
- The AFUE of the furnace would need to be taken into account, plus a margin of error. Additionally, night vs day should be taken into account. Furnaces have to work harder at night due to the lack of natural heating, while air conditioners have to work harder during the day due to natural heating via the sun.
Eventually the feature could get fancy with things like a tolerance limit for when secondary heat sources such as heat strips would need to kick in.