New default solar position algorithm
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還沒有人認領這個 Issue。
評估
研究方向
The entry point is the get_solarposition wrapper, whose default algorithm is nrel_numpy; the issue asks whether a faster model (SG2, USNO or NOAA) should replace it. This is a design decision for maintainers, not a code change, and the thread has no decision after 12 comments. Before any code, a contributor would need to agree the default with maintainers and benchmark the candidates against accuracy, not only run-time.
由索引模型根據 Issue 內容生成。
描述
Is your feature request related to a problem? Please describe.
[Solar Position Documentation](https://pvlib-python.readthedocs.io/en/stable/reference/solarposition.html
https://pvlib-python.readthedocs.io/en/stable/reference/generated/) recommends using the default solar position algorithm. Should we update to a faster algorithm given @AdamRJensen's poster at this year's PVPMC which shows that most algorithms have minimal impact on energy regardless of run-time?
With permission I can edit this comment and add a photo of the poster.
Describe the solution you'd like
A fast implementation of the SG2, USNO or NOAA solar position algorithms set as the default model for the get_solarposition wrapper.
Describe alternatives you've considered
We could leave the default as nrel_numpy
Additional context
- Increased run-time speed of pvlib reduces carbon output of running models (no matter how small or large that might be)
- I am happy to re-implement one of the above models in Rust with python bindings and open source the rust backend. I know that this comment will open up a can of worms. I think one way to go about this is to implement the model twice, once in python as a reference for the community and once in rust/julia/c++ etc. for use in practice. Users would be able to select which model to use at their prerogative.
- 主要語言
- Python
- 星號
- 1.7k
- 分支
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- 平均合併
- 3 天 18 小時
- 30 天內合併 PR
- 13
環境準備
- 沒有 Dockerfile 或 Docker Compose 檔案
- 有 Pull Request 範本
- 閱讀貢獻指南
從這裡開始
- 先讀完整個 Issue,再讀專案的貢獻指南。
- 在 Issue 下留言說明你要接手 —— 這能避免兩個人做同樣的事。
- Fork 儲存庫,在一個分支上完成修改。
- 送出 Pull Request,並在描述裡引用這個 Issue 編號。
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