PyPSA
snl-quest
| PyPSA | snl-quest | |
|---|---|---|
| 2 | 1 | |
| 1,098 | 125 | |
| 2.3% | 8.1% | |
| 9.5 | 9.5 | |
| 1 day ago | 8 days ago | |
| Python | Python | |
| MIT License | GNU General Public License v3.0 or later |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
PyPSA
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Young Australians Just Won a Human Rights Case Against an Enormous Coal Mine
This study about the European grid quantifies all this. If you want to go deeper into how they get these numbers, you'll need to read about PyPSA or other grid modelling tools. It's all open source and well documented.
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Solar panels set to be mandatory on all new buildings under EU plan New proposal aims to rapidly reduce dependence on Russian fossil and supercharge Europe’s transition to green energy
You need to know how energy models work, and I invite you to read about them. Check out PyPSA for instance (paper, Source code)). That would answer both points above and more. For instance, you need to know that they are based on real weather and consumption data, so they account for natural variability. They know the cost of producing synfuels, and they optimize around it to find the cheapest system overall given the input technologies and assumptions. These calculations would be impossible to do by hand.
snl-quest
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[request] Historical energy prices of USA
Thanks to all who commented. To anyone looking for the same data, Energy Exemplar seems to have the most complete database of all the options provided here, unfortunately it requires a license. I found this open-source alternative, https://github.com/snl-quest/snl-quest . I am still trying to get it to run smoothly, but it seems to have all the necessary information.
What are some alternatives?
open-grid-emissions - Tools for producing high-quality hourly generation and emissions data for U.S. electric grids
OMLT - Represent trained machine learning models as Pyomo optimization formulations
co2-data - Data on CO2 and greenhouse gas emissions by Our World in Data
8QueensGenetic - Optimizing the 8 Queens Puzzle using the Genetic Algorithm (PyGAD).
climate-change-assignment - A website explaining what is climate change
pypsa-eur - PyPSA-Eur: A Sector-Coupled Open Optimisation Model of the European Energy System
gridstatus - Extract data from ISOs and other energy grid sources
climatemind-backend - Your climate action is here 🌎 Our API is a source for learning how climate change personally affects you and the things you care about most. Additionally, it will teach a scientifically proven method for communicating to others that climate change is a personally relevant issue to inspire action.
govee_btled - A Python wrapper for controlling a cheap Bluetooth RGB light bulb.
awesome-sustainability-jobs - Dev jobs in the sustainability sector - be part of the solution, not the problem
ElectricPy - Electrical Engineering Formulas in Python
pvlib-python - A set of documented functions for simulating the performance of photovoltaic energy systems.