SolarSpatialTools documentation
solarspatialtools is a python package containing implementations of various spatial algorithms for solar energy data. While excellent open source solar energy packages already exist (e.g. pvlib-python and pvanalytics), the complexity of some high-level analyses found in the academic literature makes them as a poor fit for the scope of existing packages. This package fills that gap by implementing techniques that we hope can facilitate common spatial tasks for solar energy researchers and provide a platform for consistency and efficiency improvements in these calculations.
Installation
The package can be most easily installed via PyPi with the following command:
pip install solarspatialtools
Getting Started
The functions in this package likely to be of general interest to the research community are those in the modules solarspatialtools.cmv and solarspatialtools.field.
The solarspatialtools.cmv module contains functions for calculating the cloud motion vector from a distributed network of irradiance measurements.
The solarspatialtools.field module contains functions for validating the layout of a PV plant or measurement network by calculating the relative delays between each sensor in the network subject to cloud motion.
The solarspatialtools.synthirrad package contains functions for downscaling and generation of synthetic irradiance timeseries.
The best starting point is to read through the CMV Examples and Field Analysis Examples sections to see some sample Jupyter notebooks that demonstrate how these functions can be used in practice.
Contents
API Reference