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Here we will collect scripts, trainings, studies, and any other open-source material that can help further the understanding and research of agrivoltaics.
This repository does not have (at the moment) any functions, but it runs by leveraging various open-source tools from NREL or others, such as bifacial_radiance, SAM, pvlib, etc.
To install the necessary packages, we suggest you create a dedicated environment:
You can also run the tutorial locally with miniconda by following thes steps:
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Install miniconda.
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Clone the repository:
git clone https://github.com/NREL/InSPIRE.git -
Create the environment and install the requirements. The repository includes a
requirements.txtfile that contains a list the packages needed to run the tutorials and some of the scripts (more below). To install them using conda run:conda create -n inspire jupyter -c pvlib --file requirements.txt conda activate inspire -
If you are interested on the tutorials or some of the studies that use Jupyter, you will then start a Jupyter session:
jupyter notebook -
And Use the file explorer in Jupyter lab to browse to the tutorial or studies.
Please note that some of the tutorials that use bifacial_radiance requires the installation of the Radiance package and setup of various environment paths as detailed here:
bifacial_radiance installation
InSPIRE is compatible with Python 3.9 and above.
We need your help to make InSPIRE a great repository of AgriPV knowledge! Contact the github admins and teammembers to contribute. Since we cooperate with variuos undergraduate and graduate programs across the US, we do have a Copyright License Agreement and instructions to sign it that contributors might have to review with their institutions.
BSD 3-clause
If you suspect that you may have discovered a bug or if you'd like to change something please make an issue on our GitHub issues page.
If you use the scripts included here in a publication, make sure you cite the individual tools used and their DOIs, as well as HPC use acknowledgment.