Simulate the interaction between PV power values generated with a Solar Panel and a building consumption.
It assumes the following pv generator curve:
- Rabbit MQ server running (https://www.rabbitmq.com/download.html)
- Create a python virtualenv
- Install all dependencies:
pip install -r requirements.txt(main dependencies:numpy, matplotlib, pika) - Start
python pv_generator.pyin one shell - Start
python meter.pyin another shell
Run:
python -m black <file>python -m flake8 <file>
Run pytest
- More and advanced tests :)
- The pv generator curve is approximated by a normal distribution. That's not totally correct as the sides of a given pv generator curve decrease faster. One could model the curve by a parabola and two linear sections
- Don't open the file each time for a new datapoint for the fast sim and collect values for a day first: less file operations and improved simulation time
- Spawn multiple producers at the same time (maybe even as separate threads) or use direct exchanges
- Improved logging
Future ideas:
- Flask application for liveview web application