PyPSA
gridstatus
PyPSA | gridstatus | |
---|---|---|
2 | 6 | |
1,098 | 246 | |
2.3% | - | |
9.5 | 8.8 | |
2 days ago | about 17 hours ago | |
Python | Python | |
MIT License | BSD 3-clause "New" or "Revised" License |
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.
gridstatus
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Solar and Wind to Top Coal Power in US for First Time in 2024
It’s a wide range of sources but basically the different Independent System Operators in the US and the Energy Information Agency (EIA) All of our data scrappers are open source: https://github.com/kmax12/gridstatus
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Dashboard of the real time electricity prices and sources (e.g. natural gas, solar, wind, etc.) across the US.
I did not create this, just found it. I think the creator can be reached via GitHub: https://github.com/kmax12/gridstatus
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For the first time, renewable energy generation beat out coal in the US
Long-term trends clearly demonstrate the energy grid’s transition to renewable energy sources.
However, renewables like solar and wind come with unique challenges due to their intermittent nature. They are more variable, harder to forecast, have location constraints, and can benefit from battery storage. These factors lead to a more dynamic grid than before.
For instance, several regions in the country provide five-minute updates on their energy generation mix, enabling near real-time observations of renewable energy effects throughout the day
For example, numerous regions across the country provide updates on their energy generation mix at five-minute intervals, allowing for close to real time observations of these effect of renewables throughout the day.
To help those involved in the energy transition, I created an open-source project called Grid Status (https://github.com/kmax12/gridstatus) that provides fuel mix, wholesale pricing, load, load forecasts, and more.
Additionally, I've developed real-time visualizations to make this data more accessible and easier to comprehend: https://www.gridstatus.io
I hope making this data more accessible and understandable will accelerate the transition away from fossil fuels.
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[Self-Promotion] My CAISO Data API Is Now Available
Here's the project: https://github.com/kmax12/isodata. Let me know if you're interested in collaborating!
- Show HN: API access to electricity grid data in US
- Access energy data from the major Independent System Operators in the US
What are some alternatives?
open-grid-emissions - Tools for producing high-quality hourly generation and emissions data for U.S. electric grids
co2-data - Data on CO2 and greenhouse gas emissions by Our World in Data
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ElectricPy - Electrical Engineering Formulas in Python
climate-change-assignment - A website explaining what is climate change
forestatrisk - 📦🐍 Python package to model and forecast the risk of deforestation
pypsa-eur - PyPSA-Eur: A Sector-Coupled Open Optimisation Model of the European Energy System
learnergy - 💡 Learnergy is a Python library for energy-based machine learning models.
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.