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GSEE is a solar energy simulation library designed for rapid calculations and ease of use.Renewables.ninja usesGSEE.

The development ofGSEE predates the existence ofpvlib-python but builds on its functionality as of v0.4.0. UseGSEE if you want fast simulations with sensible defaults and solar energy technologies other than PV, andpvlib-python if you need control over the nuts and bolts of simulating PV systems.

GSEE requires Python 3. The recommended way to install is through theAnaconda Python distribution andconda-forge:

conda install -c conda-forge gsee

You can also install withpip install gsee, but if you do so, and do not already havenumpy installed, you will get a compiler error when pip tries to build toclimatedata_interface Cython extension.

See thedocumentation for more information onGSEE's functionality and for examples.

ContactStefan Pfenninger for questions aboutGSEE.GSEE is also a component of theRenewables.ninja project, developed by Stefan Pfenninger and Iain Staffell. Use thecontact page there if you want more information about Renewables.ninja.

If you useGSEE or code derived from it in academic work, please cite:

Stefan Pfenninger and Iain Staffell (2016). Long-term patterns of European PV output using 30 years of validated hourly reanalysis and satellite data.Energy 114, pp. 1251-1265.doi: 10.1016/j.energy.2016.08.060

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