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add duramat sr library reference
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‎docs/sphinx/source/user_guide/modeling_topics/spectrum.rst‎

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@@ -18,12 +18,13 @@ Spectral mismatch models
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pvlib-python contains several models to estimate the spectral mismatch factor
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using atmospheric variables such as air mass, or system and meteorological
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data such as spectral response and spectral irradiance. An example
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demonstrating the application of three pvlib-python spectral mismatch models
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is also available: :ref:`sphx_glr_gallery_spectrum_spectral_factor.py`. Here,
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a comparison of all models available in pvlib-python is presented. An extended
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review of a wider range of models available in the published literature may be
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found in Reference [1]_.
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data such as spectral response and spectral irradiance. Two separate examples
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demonstrating the application of four pvlib-python spectral mismatch models
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are also available: :ref:`sphx_glr_gallery_spectrum_spectral_factor.py` and
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Ref. [1]_, the latter of which also contains downloadable spectral response
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and spectral irradiance data. On this page, a comparison of all models
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available in pvlib-python is presented. An extended review of a wider range of
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models available in the published literature may be found in Reference [2]_.
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The table below summarises the models currently available in pvlib, the inputs
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required, cell technologies for which model coefficients have been published,
@@ -37,24 +38,24 @@ of commerical module products.
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+=========================================================+============================+=================+===========+
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| :py:func:`~pvlib.spectrum.spectral_factor_caballero` | :term:`absolute_airmass`, | CdTe, | |
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| | :term:`precipitable_water`,| mono-Si, | |
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| | aerosol optical depth | poly-Si, | [2]_ |
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| | aerosol optical depth | poly-Si, | [3]_ |
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| | | aSi, | |
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| | | CIGS, | |
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| | | Perovskite | |
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+---------------------------------------------------------+----------------------------+-----------------+-----------+
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| :py:func:`~pvlib.spectrum.spectral_factor_firstsolar` | :term:`absolute_airmass`, | CdTe, | |
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| | :term:`precipitable_water` | poly-Si | [3]_ |
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| | :term:`precipitable_water` | poly-Si | [4]_ |
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+---------------------------------------------------------+----------------------------+-----------------+-----------+
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| :py:func:`~pvlib.spectrum.spectral_factor_sapm` | :term:`absolute_airmass` | Multiple | [4]_ |
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| :py:func:`~pvlib.spectrum.spectral_factor_sapm` | :term:`absolute_airmass` | Multiple | [5]_ |
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+---------------------------------------------------------+----------------------------+-----------------+-----------+
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| :py:func:`~pvlib.spectrum.spectral_factor_pvspec` | :term:`absolute_airmass`, | CdTe, | |
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| | clearsky index | poly-Si, | |
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| | | mono-Si, | |
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| | | CIGS, | [5]_ |
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| | | CIGS, | [6]_ |
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| | | aSi | |
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+---------------------------------------------------------+----------------------------+-----------------+-----------+
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| :py:func:`~pvlib.spectrum.spectral_factor_jrc` | :term:`relative_airmass`, | CdTe, | |
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| | clearsky index | poly-Si | [6]_ |
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| | clearsky index | poly-Si | [7]_ |
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+---------------------------------------------------------+----------------------------+-----------------+-----------+
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| :py:func:`~pvlib.spectrum.calc_spectral_mismatch_field` | spectral response, | Any single | |
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| | :term:`spectra` | junction | |
@@ -63,28 +64,34 @@ of commerical module products.
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References
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----------
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.. [1] R. Daxini and Y. Wu, "Review of methods to account for the solar
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.. [1] A. Driesse, J. S. Stein, and M. Theristis, "Global horizontal spectral
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irradiance and module spectral response measurements: an open dataset
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for PV research Sandia National Laboratories, ALbuquerque, NM, USA, Rep.
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SAND2023-02045, 2023. Available:
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https://datahub.duramat.org/dataset/module-sr-library
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.. [2] R. Daxini and Y. Wu, "Review of methods to account for the solar
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spectral influence on photovoltaic device performance," Energy,
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vol. 286, p. 129461, Jan. 2024. :doi:`10.1016/j.energy.2023.129461`
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.. [2] J. A. Caballero, E. Fernández, M. Theristis, F. Almonacid, and
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.. [3] J. A. Caballero, E. Fernández, M. Theristis, F. Almonacid, and
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G. Nofuentes, "Spectral Corrections Based on Air Mass, Aerosol Optical
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Depth and Precipitable Water for PV Performance Modeling," IEEE Journal
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of Photovoltaics, vol. 8, no. 2, pp. 552–558, Mar. 2018.
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:doi:`10.1109/JPHOTOV.2017.2787019`
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.. [3] M. Lee and A. Panchula, "Spectral Correction for Photovoltaic Module
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.. [4] M. Lee and A. Panchula, "Spectral Correction for Photovoltaic Module
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Performance Based on Air Mass and Precipitable Water," 2016 IEEE 43rd
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Photovoltaic Specialists Conference (PVSC), Portland, OR, USA, 2016,
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pp. 3696-3699. :doi:`10.1109/PVSC.2016.7749836`
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.. [4] D. L. King, W. E. Boyson, and J. A. Kratochvil, Photovoltaic Array
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.. [5] D. L. King, W. E. Boyson, and J. A. Kratochvil, Photovoltaic Array
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Performance Model, Sandia National Laboratories, Albuquerque, NM, USA,
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Tech. Rep. SAND2004-3535, Aug. 2004. :doi:`10.2172/919131`
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.. [5] S. Pelland, J. Remund, and J. Kleissl, "Development and Testing of the
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.. [6] S. Pelland, J. Remund, and J. Kleissl, "Development and Testing of the
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PVSPEC Model of Photovoltaic Spectral Mismatch Factor," in Proc. 2020
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IEEE 47th Photovoltaic Specialists Conference (PVSC), Calgary, AB,
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Canada, 2020, pp. 1–6. :doi:`10.1109/PVSC45281.2020.9300932`
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.. [6] H. Thomas, S. Tony, and D. Ewan, “A Simple Model for Estimating the
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.. [7] H. Thomas, S. Tony, and D. Ewan, “A Simple Model for Estimating the
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Influence of Spectrum Variations on PV Performance,” pp. 3385–3389, Nov.
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2009, :doi:10.4229/24THEUPVSEC2009-4AV.3.27
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.. [7] IEC 60904-7:2019, Photovoltaic devices — Part 7: Computation of the
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.. [8] IEC 60904-7:2019, Photovoltaic devices — Part 7: Computation of the
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spectral mismatch correction for measurements of photovoltaic devices,
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International Electrotechnical Commission, Geneva, Switzerland, 2019.

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