Welcome to reV Routing (reVRt)!
The reV Routing tool is a computational framework for modeling and optimizing transmission infrastructure requirements for electrical grid connections. By employing a spatially-aware least-cost-path methodology, it allows users to incorporate a wide range of factors including siting constraints, regional component costs, land composition costs, point-of-interconnection costs, and network upgrade costs. Additionally, the tool enables advanced follow-on analyses, such as land characterization for potential transmission line routes, to support informed decision-making. Although it’s designed to integrate seamlessly with the reV model, the reV Routing tool is versatile and can also be utilized independently for standalone analyses in transmission planning and resource assessment scenarios.
Installing reVRt
The quickest way to install reVRt for users and analysts is from PyPi:
pip install nlr-revrtThis is highly recommended as you will get the release build of the Rust code, which is significantly faster than the debug build that is installed when building from source.
If you would like to install and run reVRt from source, we recommend using pixi:
git clone git@github.com:NatLabRockies/reVRt.git; cd reVRt
pixi run reVRtFor detailed instructions, see the installation documentation.
Development
Please see the Development Guidelines if you wish to contribute code to this repository.
2 maintainers
Metadata
2 maintainers
Release files for NLR-reVRt 0.14.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| nlr_revrt-0.14.0.tar.gz | 237.5 kB | Details |
Built distributions (wheels)
Total release size: 136.6 MB
Release files / nlr_revrt-0.14.0.tar.gz
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| Tags | Source |
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| Tags | CPython 3.11 abi3 macOS 11.0+ ARM64 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
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twine/7.0.0 CPython/3.13.14
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Transparency logRelease files / nlr_revrt-0.14.0-cp311-abi3-macosx_10_12_x86_64.whl
| Download URL | nlr_revrt-0.14.0-cp311-abi3-macosx_10_12_x86_64.whl |
|---|---|
| Size | 4.0 MB |
| Tags | CPython 3.11 abi3 macOS 10.12+ x86-64 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
3a33531996c99cd05c0b5d7e3861969b09dbcc3fd068d3e0a2749c7696f851f6
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| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.14
|
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
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