If your attic is going to have 50 bags of insulation blown into it, does it make much of a difference if it goes in flat or lumpy?
One reason that I’m interested in the question is that my dissertation in grad school was called “Flat or Lumpy.” (Of course, it had the requisite incomprehensibility in the subtitle, with words like “heteroepitaxy.”) Those two words in the title, which cut to the heart of what my surface physics research was all about, also describe a property of insulation that’s important in building science.
Lumpy attic insulation = poor average R-value
Let’s look at an example. If the insulation goes in perfectly flat, let’s say we have a nice uniform R-value of 30 throughout the attic. (We’re going to ignore the complicating factor of the framing and assume it’s a continuous layer of blown insulation.)
There are all kinds of ways it can go in lumpy, but let’s assume that 50% of the attic has lumps of R-50 insulation, and the other 50% is valleys with only R-10. We want to find the average R-value of this lumpy configuration. It’s the same amount of insulation, and the average of R-50 and R-10 is R-30. But, how does it really perform?
Let’s do the math!
Warning: This section contains mathematics. If you feel nausea or dizziness, skip to the conclusion below. If you feel excited by this discussion, see your local physics department. If your arousal lasts longer than 4 hours, you should work through the problems in Classical Electrodynamics by J.D. Jackson.
Now, we can’t just average the R-values. If we did that here, we’d get R-30, and we’d be wrong. Heat will take the path of least resistance, and the less resistance you give it, the more heat will flow. If you’ve studied physics, engineering, or building science, you’ve probably seen the equation for heat flow by conduction: Q = UA Î”T = 1/R âˆ™ A Î”T
If we calculated the amount of heat flowing through the lumps and valleys in this attic, we’d see that the R-10 half (the red bar below) would allow way more heat to flow than the R-50 half (the yellow bar below). In fact, the R-10 valleys, having one-third the R-value, would allow 3 times more heat to flow than if it had R-30. The R-50 lumps would allow only 3/5 the heat flow as R-30.
Also, the total amount of heat flow is greater for the lumpy insulation than for the flat insulation. As you can see below, the red and yellow parts together add up to a lot more heat flow than the orange — actually 1.8 times as much.
Because the lumpy insulation allows more heat flow, it’s got to have a worse average R-value. Clearly, the average R-value is going to be more influenced by the underinsulated part than by the overinsulated part.
To find the average R-value the correct way, we first have to convert R-values to U-factors. R stands for resistance, as in resistance to heat flow, so the higher the number the better when we’re talking about building materials. U-factor, the heat transfer coefficient, is the reciprocal of the R-value, so the lower the number, the better. (For a better understanding, see .)
The equation for average U-factor is:
Taking the attic as 1,000 square feet total and putting in 1/R for U, we get:
Taking the reciprocal of 0.06, we get the average R-value of about 17, which is much lower than the R-30 we’d get by incorrectly averaging the R-values.
Get out your rake
As I said above, heat takes the path of least resistance, so the amount of extra heat going through the R-10 half far exceeds the extra heat flow that’s stopped on the R-50 side. Instead of getting an R-30 average, the lumpy attic has an R-17 average.
In practical terms, this means that if you see an attic with lumpy insulation, get in there with a rake and smooth it out. In the example I just worked out, you’d nearly double the R-value without adding any extra insulation!
Another common example of the flat-or-lumpy conundrum is an attic that’s perfectly insulated except for one small area, say the pull-down attic stairs. We can go through the same steps as above and show that an attic that has a uniform R-30 over 99% of the area and 1% at R-1 (the pull-down stairs) will have an average R-value of 23.
That’s right, those pull-down stairs can decrease your overall R-value by 25%. One small uninsulated area reduces the R-value dramatically.
In my graduate research, getting smooth, flat layers was our goal. In the building science of insulation, flat also wins out over lumpy.
Allison Bailes of Decatur, Georgia, is a RESNET-accredited energy consultant and trainer. He is also the author of the excellent . For a GBA review of Bailes’ blog, click here.