# PVWatts and PVUSA¶

I read a paper recently that turned on a lightbulb about why the PVUSA/ASTM E2848-13 equation is defined the way it is. To quote the paper 1:

```
The PVUSA method is based on the simplified assumptions that array current
is primarily dependent on irradiance and that array voltage is primarily
dependent on array temperature, which, in turn is dependent on irradiance,
ambient temperature, and wind speed.
```

The concept of modeling power by modeling current and voltage separately (other than IV-curve modeling, of course) is obvious in hindsight but had never occurred to me before… so let’s have some fun and try it out!

Start with the fact that PV modules have known electrical characteristics at standard test conditions. Assuming that module output power is only a function of POA irradiance (\(G\)) and cell temperature (\(T\)), that means we know the value of the 2-D functions \(I(G, T)\) and \(V(G, T)\) at one point:

That’s nice, but operating conditions are often pretty different from STC. Let’s take a first-order Taylor expansion as a starting approximation for points away from STC. Let’s define some new variables for convenience:

So our Taylor expansions are:

First let’s take a look at current. Experience tells us that PV current is only very slightly dependent on temperature, so let’s assume that \(\gamma_I = 0\). We also know that PV modules produce zero current at zero irradiance:

Simple enough – what we’ve done is just a fancy way of saying “current is linear with irradiance and independent of temperature”, but a little formalism doesn’t hurt.

Now for voltage. In theory, PV voltage depends on temperature and irradiance
*spectrum*, but not irradiance itself, so let’s assume \(\beta_V = 0\).
There’s no clever trick we can use to calculate \(\gamma_V\), but we can
define \(\alpha_V \equiv \gamma_V / V_{stc}\) to simplify our math.
Instead of an absolute change like \(\gamma_V\) (V/C),
\(\alpha_V\) is a percent change (%/C). \(\alpha_V\) is also usually what’s reported
in datasheets.

Now let’s multiply them together! \(P = IV\), after all:

This is starting to look familiar… except what’s that \(\alpha_V\) doing there? Quick, let’s try something out:

Here we are still assuming \(\gamma_I = 0\). Now, divide both sides by \(P_{stc}\):

Ack! It’s our old friend PVWatts 2!

So the PVWatts equation is really just the first-order Taylor expansion around STC with a couple assumptions. How fun!

But let’s take it a step further – PVWatts isn’t the only PV model in town, and didn’t we start this whole ramble by talking about the PVUSA equation? Let’s rearrange our friend PVWatts a bit:

And consolidating constants \(b, c\):

But hey, what is \(T\) anyway? Nobody measures cell temperature, so let’s model it with something else. Recall the quote from 1:

```
array temperature... is dependent on irradiance, ambient temperature, and wind speed
```

Fair enough! Here’s a straightforward way to represent that dependence:

So let’s plug that model into our consolidated equation, and consolidate again… Ack! It’s our old friend the PVUSA equation!

So the PVUSA equation is really just PVWatts with a specific cell temperature formulation, how fun! But now that we’re digging into it, isn’t \(T = d G + e T_a + f v\) kind of a weird temperature model? In other models (e.g. Faiman 3 and Sandia 4), wind speed and irradiance have some multiplicative relationship. For instance at night when \(G = 0\), wind drops out of both models and they predict \(T = T_a\), but \(T = d G + e T_a + f v\) lets wind influence temperature separately from irradiance. Let’s try using the Faiman model instead! For the forgetful reader, the Faiman model is:

And so our modified PVUSA equation becomes:

I humbly suggest this equation be named the KSAUSA equation. Maybe someday I’ll test this variant against the normal PVUSA equation, but to be honest when I’ve dug into PVUSA regression in the past, I’ve often found that the wind speed coefficient wasn’t statistically distinguishable from zero anyway…

The broader question raised here is more interesting: should ASTM E2848-13 capacity testing adapt the PVUSA equation to use more detailed cell temperature models instead of the simple form it currently uses?

## Summary¶

The PVWatts equation is just the first-order Taylor expansion of \(P=IV\) around STC with some terms assumed to be zero.

The PVUSA equation is just the PVWatts equation combined with a particular form of cell temperature model.

The PVUSA equation can be redefined to use other cell temperature formulations, which may be useful for ASTM capacity testing.

## References¶

- 1(1,2)
C. M. Whitaker et al., “Application and validation of a new PV performance characterization method,” Conference Record of the Twenty Sixth IEEE Photovoltaic Specialists Conference - 1997, Anaheim, CA, USA, 1997, pp. 1253-1256.

- 2
A. P. Dobos, “PVWatts Version 5 Manual” http://pvwatts.nrel.gov/downloads/pvwattsv5.pdf (2014).

- 3
Faiman cell temperature model: https://pvpmc.sandia.gov/modeling-steps/2-dc-module-iv/module-temperature/faiman-module-temperature-model/

- 4
Sandia cell temperature model: https://pvpmc.sandia.gov/modeling-steps/2-dc-module-iv/module-temperature/sandia-module-temperature-model/