PAINT

What is PAINT

The PAINT database makes operational data of concentrating solar power plants available in accordance with the FAIR data principles, i.e., making them findable, accessible, interoperable, and reusable. Currently, the data encompasses calibration images, deflectometry measurements, kinematic settings, and weather information of the concentrating solar power plant in Jülich, Germany, with the global power plant id (GPPD) WRI1030197. Metadata for all database entries follows the spatio-temporal asset catalog (STAC) standard.

Installation

We heavily recommend installing the PAINT package in a dedicated Python3.9+ virtual environment. You can install PAINT directly from the GitHub repository via:

pip install git+https://github.com/ARTIST-Association/PAINT

Alternatively, you can install PAINT locally. To achieve this, there are two steps you need to follow:

1. Clone the PAINT repository:

   git clone https://github.com/ARTIST-Association/PAINT.git

2. Install the package from the main branch:
   • Install basic dependencies: pip install -e .

Structure

The PAINT repository is structured as shown below:

.
├── data-preparation-scripts # Scripts used to generate STAC files and structure data
├── html # Code for the paint-database.org website
├── markers # Saved markers for the WRI1030197 power plant in Jülich
├── paint # Python package
│   ├── data
│   ├── preprocessing
│   └── util
├── plots # Scripts to generate plots
└── tests # Tests for the python package
    ├── data
    ├── preprocessing
    └── util

How to contribute

Check out our contribution guidelines if you are interested in contributing to the PAINT project 🔥. Please also carefully check our code of conduct 💙.

Acknowledgments

This work is supported by the Helmholtz AI platform grant.

---