Early Start learning (Tado V3+)
We have a room which takes over 3 hours to heat up if the outside temp is below 2C and then it may not hit target in that time. Here in the UK during the recent very cold weather, I have been boosting the room heating with a fan heater for an hour or so to get the room up to temp, then the radiators are able to maintain the temperature fine.
However, now this has messed up Early-start as Tado thinks the room heats up very quickly so instead of starting 3 hours early, it now starts only 45 mins early. How can the learning algorithm be reset? I suppose I need to tell Tado via support but I also want to experiment with changing boiler temperature which would also affect the heat up time. Seems a bit of a faff to need to call up Tado support every time I try to tune my heating system.
Answers
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How exactly is that room heated? Have you balanced the flow of heat into that room so that its rate of heat delivery is the same as for other rooms?
If that question is resolved and the problem still exists, we can think this through with you.
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I don't think your comment is relevant to the question.
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@AnotherUsername
I think it is relevant in that if you can be helped to solve the issue in your first paragraph, you don't need the 2nd?
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The first part is background information. Assume that it's as good as can be. It is what it is.
The actual question I want answered is being able to reset the Early Start algorithm when I make changes to the system.
After more research, the common concensus is that Tado doesn't actually learn the heating characteristics if your room. It uses current indoor temp, outdoor temp, target temp, but not the actual rate your room heats up degreesC/hr.
It's not as smart as the Nest system it replaced.0 -
@AnotherUsername Have looked carefully at your three comments. You are clearly dissatisfied at the results following a switch from Nest to Tado, and that point is made, criticism noted.
What I really dont understand is the cause of one room not receiving heat for hours. If you want this community to bring its experience to bear, to help you, would you please do the following:
- Identify how heat is triggered for that room? Is it just a TRV controlling heat into that room, or is there a zone valve triggered by a wired thermostat?
- You suggest that there is a distinct call for heat, but somehow the heat actually delivered is moderated down. That can only be determined by the amount of heat that is allowed to flow into the room. What exactly moderates that flow?
- Is this room handled with underfloor heating loops? Is there a pump operating in response to a pressure delta curve?
- What boiler do you have and how is it triggered and modulated?
- Where exactly did you get the impression that the heat characteristics are not being learned, specifically? Need to see the evidence. Quite a few of us have studied the change in heating curves carefully over time, allowing for external weather patterns. They arent static and they do improve.
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Having had a look through @AnotherUsername 's chats, it looks like the issue was rooted in an Alexa routine wherein heating zones were affected. Problem now seems to be resolved.
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@AnotherUsername Would you be open to updating us on the present situation. Has it been resolved?
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