Dear Pythonistas and solar power enthusiasts, The maintainers are happy to announce a new release of pvlib python: software for simulating performance of photovoltaic solar energy systems.
*See what's new for v0.9.3:* ** *https://pvlib-python.readthedocs.io/en/stable/whatsnew.html *Releases are available from PyPI and the conda-forge channel:* * https://pypi.org/project/pvlib/ * https://anaconda.org/conda-forge/pvlib * https://anaconda.org/conda-forge/pvlib-python *Note: you can now install from conda-forge using either "pvlib" or "pvlib-python"* *Read the Documentation:* * https://pvlib-python.readthedocs.io/en/stable/index.html *Report issues & contribute:* * https://github.com/pvlib/pvlib-python *Highlights:* * Anton Driesse has joined the maintainers. Anton has been a consistent contributor, a frequent poster on Google Groups, and a fixture in the PV modeling community for many years. We gladly welcome Anton and are grateful for his support. * Several new functions to calculate spectral mismatch <https://pvlib-python.readthedocs.io/en/stable/reference/generated/pvlib.spectrum.calc_spectral_mismatch_field.html#pvlib.spectrum.calc_spectral_mismatch_field> of photovoltaic devices between incident and reference spectra. Compare this to the existing FSLR spectral mismatch function. * The Townsend snow loss model <https://pvlib-python.readthedocs.io/en/stable/reference/generated/pvlib.snow.loss_townsend.html#pvlib.snow.loss_townsend> is now available. Compare this with the existing snow loss model from Marion. * A new generic linear temperature model <https://pvlib-python.readthedocs.io/en/stable/reference/generated/pvlib.temperature.generic_linear.html#pvlib.temperature.generic_linear> function and class that can convert between PVsyst, Faiman, and SAPM thermal model coefficients. * A new altitude look-up function <https://pvlib-python.readthedocs.io/en/stable/reference/generated/pvlib.location.lookup_altitude.html#pvlib.location.lookup_altitude> using public data from Mapzen, a project for open map data hosted by AWS. * There were four new first time contributors! Thank you! * There was a training using JupyterHub at PVPMC 2022 <https://pvsc-python-tutorials.github.io/PVPMC_2022>. Check it out! *Thank you for using pvlib python!* -- Mark Mikofski, PhD (2005) *Fiat Lux* _______________________________________________ Python-announce-list mailing list -- firstname.lastname@example.org To unsubscribe send an email to python-announce-list-le...@python.org https://mail.python.org/mailman3/lists/python-announce-list.python.org/ Member address: arch...@mail-archive.com