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Home Assistant is open source home automation that puts local control and privacy first. Powered by a worldwide community of tinkerers and DIY enthusiasts. Perfect to run on a Raspberry Pi or a local server. Available for free at home-assistant.io

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Does anyone know a way of calculating the energy needed to heat a home/room? (self.homeassistant)

submitted 9 months ago by rmuk to c/homeassistant@lemmy.world

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Does anyone know a way of calculating the amount of heating I need to maintain an average temperature in terms of kWh of heating per 24 hours? Ideally one taking into account weather conditions.

I have a pretty big Home Assistant setup which includes switches for individually controlling all the (electric) heaters in my home. I'm also using an electricity supplier that changes the amount they charge every 30 minutes to reflect supply and demand. Given these rates are published at least 24 hours in advance I can currently choose a number of hours to run the heaters per day and have an automation automatically select the cheapest periods. I'm paying less per kWh for heating than I would if I was using a gas boiler. Plus, it's all from renewables, so working out that number of hours is the next step.

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[–] rmuk 3 points 9 months ago (1 children)

What you're describing is similar to the approach I've already taken which is reassuring! The problem I've got is that it only really works if the weather's fairly consistent, but the problem I have is that the property I'm in is very old, with fairly naff insulation and huge, single-pane windows that get battered by wind from an open aspect. I think for most people your approach would work well, though.

And, yeah, I don't mind the temperature peaking and troughing for a couple of hours every now and then, but I appreciate that's not for everyone!

[–] Starfighter@discuss.tchncs.de 3 points 9 months ago (1 children)

If you have such a system up and running already you could try to modify it before ripping it out and starting from scratch.

Borrowing an idea from the machine learning approach you could additionally take the difference in average outside temperature yesterday and the average forecasted outside temperature today. Then multiply that by a weight (the machine learning approach would find this value for you but a single weight can also be found by hand) and subtract it from the target temperature before the division step discussed previously. Effectively saying "you don't need to heat as much today since it will be a little warmer".

I fear that's about all you can do with this approach without massively overcomplicating things.

[–] rmuk 2 points 9 months ago

massively overcomplicating things

...you say? 🤔