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Solar Simulator Irradiance and Spectral Mismatch


Solar simulators will generally attempt to replicate the standard AM1.5G spectrum. This has a total integrated irradiance of 1000.4 W/m2 over the wavelength range of 280 nm – 4000 nm. Solar simulators will not normally cover the entirety of this wavelength range - especially LED-based solar simulators where wavelengths beyond 1000 nm become increasingly difficult to generate. This causes an issue when you attempt to calibrate the output of solar simulators; should they produce the full 1000.4 W/m2 of the solar spectrum, or match the irradiance over the spectral range at which they emit?

For example, the wavelength range 0f 380 nm – 1000 nm contains approximately 70% of the total AM1.5G irradiance. The question is, should a solar simulator which only outputs light within this wavelength range provide an irradiance of 700 W/m2 which is lower than the total power that would be received from the standard AM1.5G spectrum? Or should it provide 1000 W/m2 which would result in a higher visible light irradiance than the standard spectrum? There are no guidelines on this total irradiance given in the standards used to classify solar simulators. Additionally, it isn’t always clear which methodology is being followed.

Solar simulator output power is often given in the units of ‘Suns’ where 1 Sun is assumed to be the calibrated output to the AM1.5G spectrum. However, it still isn’t clear whether that is the total irradiance or the irradiance over a truncated wavelength range over which the solar simulator operates.

integrated solar irradiance

The situation is complicated further when you consider that solar cells of different technologies will absorb different wavelength ranges. Cadmium telluride-based cells are only sensitive to light between 400 nm – 800 nm. Therefore, if you compensate for the lack of light above 1000 nm by increasing the amount in; the visible would increase the amount of power available to the cells. This would make them appear more efficient than they are in reality. Silicon solar cells are sensitive to wavelengths beyond 1000 nm. So, they have no irradiance beyond 1000 nm but no compensation is occurring elsewhere. This will make them appear less efficient.

The efficiency of solar cells is also wavelength dependent (known spectral response). This means that the overall apparent efficiency of these cells will be affected by which wavelengths you choose to compensate for the missing irradiance. For this reason, despite strict standards about the classification of solar simulators, efficiency measurements of the same cell on different systems can appear quite different.

This issue essentially comes down to two separate factors; not all solar simulators provide the same spectral irradiance and not all solar cells have the same wavelength response. Both of these factors make efficiency measurements between different PV technologies, or the same PV technology but measured with different solar simulators, quite challenging.

In order to help this, you can introduce a spectral mismatch parameter, M, which quantifies and corrects for these differences [1,2]. In doing this, you will need to consider the responses of a ‘reference cell’ under both a ‘reference spectrum’ (e.g., AM1.5G) as well as our solar simulator spectrum. You will also need to consider the responses of a ‘test cell’ under these same two irradiance conditions.

The short-circuit current, I, produced by a solar cell of area D under irradiance is equal to the integral of spectral irradiance, E(λ) (units of W/m2) multiplied by the spectral response, R(λ) (units of A/W), over the wavelength range (λ1 → λ2) that the cell is sensitive to, i.e.

Spectral mismatch equation

From this, we can assign four different short-circuit currents:

  1. The short circuit current produced by a reference cell under reference irradiance (we’ll use AM1.5G as an example), .
  2. The short circuit current produced by a reference cell under a solar simulator, .
  3. The short circuit current produced by a test cell under reference irradiance, .
  4. The short circuit current produced by a test cell under a solar simulator, .

The spectral mismatch parameter relates the short-circuit currents measured under the solar simulator to those measured under reference irradiance i.e.

Note that the cell area terms cancel, so there is no requirement for the test and reference cells to be of the same size. This is as long as the solar simulator can provide uniform illumination of both cells.

Combining (1) and (3), we find:

From (4), we see that if Esim(λ) = EAM1.5G(λ), i.e., the spectral irradiance of solar simulator matches the AM1.5G irradiance, M=1. The same is true if Rtest(λ) = Rref(λ) i.e., the spectral response of the reference and test cells are the same. In either scenario, equation (2) gives:

Using the reference cell, the irradiance of the solar simulator can be adjusted so that i.e., the short-circuit current of the reference cell under the solar simulator matches the short-circuit current of the reference cell under AM1.5G illumination. Then, (the measurement of the test cell under the solar simulator is the same as the it would be under AM1.5G irradiance) and an accurate measurement can be taken. This method is useful when the solar simulator exactly matches the AM1.5G spectrum (unlikely), or the test cell is of the same technology and is known to have the same spectral response as the reference cell (quite possible).

It is likely that neither of the above requirements are satisfied. This will occur where your solar simulator does not exactly match the AM1.5G irradiance, and the test cell spectral response is either different to the reference cell or is unknown. In this case, you should use equation (4) to calculate M. This requires that you know the spectral responsivity of both the reference and test cells, as well as the spectral irradiance of both sources. While these need to be measured, the form of equation (4) makes measurement a little simpler, as relative rather absolute measurements can be used. We can make the substitutions:

  • Esim(λ) = εsimesim(λ) where esim(λ) is the relative solar simulator irradiance and εsim is an unknown proportionality constant.
  • E5G(λ) = εAM1.5G eAM1.5G(λ) where eAM1.5G(λ) is the relative reference irradiance and εAM1.5G is an unknown proportionality constant.
  • Rtest(λ) = ρtestrtest(λ) where rtest(λ) is the relative spectral response of the test cell and ρtest is an unknown proportionality constant.
  • Rref(λ) = ρrefrref(λ) where rref(λ) is the relative spectral response of the test cell and ρref is an unknown proportionality constant.

Substituting these into equation (4) we find:

All of the proportionality constants cancel, leaving:

Hence, only relative measurements are required to determine M, negating the need for radiometrically calibrated instrumentation.

Here, the quantity that we want to know is the short-circuit current of the test cell as it would be under AM1.5G illumination. We can rearrange equation (3) to give:

If we set the irradiance of the solar simulator using the reference cell such that:

where M was calculated using equation (6), we see that:

and the measured short-circuit current of the test cell under the solar simulator is equal to what it would be under AM1.5G irradiance. This is valid for all currents, not just the short-circuit current, so any I-V measurements and resulting device metrics are now corrected for the spectral mismatch.

 

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References


  • [1] Errors in short circuit current measurements due to spectral mismatch between sunlight and solar simulators, H.B. Curtis, National Aeronautics and Space Administration, ERDA/NASA-1022/76/3, 1976
  • [2] The correction for spectral mismatch effects on the calibration of a cell when using a solar simulator, C.H. Seaman, Jet Propulsion Laboratory, JPL Pub. 81-1, 1981

Contributing Authors


  • David Coles
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