X-intercept in Temp Profile

For the temperature profiles, the More Info gives the slope and the x-intercept. It would be more useful to see the y-intercept. That is the temperature for which the system can no longer keep up based on the trendlines from the data.

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The ā€œMore Infoā€ gives you two values for each trendline: slope x and y-intercept b.

Using the line equation y = mx + b, you now have only x and y remaining. To find the outdoor temperature x where the system can no longer keep up with demand, simply set y to 0 and solve the equation (y - b) / m = x.

I understand that, but would be nice to have the value displayed outright. Iā€™ve done the calculation and got the answer I was expecting. Itā€™s just a more useful value to show than the one currently displayed.

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Fair enough! :slight_smile: I modified the post title as that would technically be the ā€œx-interceptā€. I can certainly look into adding it.

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You are correct that is the x-intercept. Thanks for looking into adding that.

When I got my new HVAC this year, I was curious as to where the trendline crossed the x-axis and watched it change as it acquired more data. I only recently discovered the More Info option, but had to do the calculation to get the number I wanted.

Thanks

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Ooooo, Algebra. I thought thereā€™d never be any use for it. Just kidding. I hadnā€™t really thought about the use for that until now. Thanks for providing the data. Iā€™m good from -105 to 106!

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Since it illustrate the capacity limit for each system component, the x intercept certainly is good info !

Some kind of graphical history of those intercepts (and slope) would be a really nice way to illustrate the performance evolution/degradation of each componentā€¦ but with a lag since its time-averagedā€¦ (havent got into how things are calculated, maybe this could be easily resolved?)

The addition of a couple of ā€˜dotsā€™ in the temperature profile showing the ā€œlatest calculated valuesā€ for each system would provide some similar performance measure (actual vs historical average).

This would really be great info !