Science Score: 49.0%
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○CITATION.cff file
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✓DOI references
Found 6 DOI reference(s) in README -
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4 of 6 committers (66.7%) from academic institutions -
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○Scientific vocabulary similarity
Low similarity (15.0%) to scientific vocabulary
Keywords
Repository
Vector based Energy Optimization Framework
Basic Info
Statistics
- Stars: 10
- Watchers: 3
- Forks: 6
- Open Issues: 34
- Releases: 24
Topics
Metadata Files
README.md
FlixOpt: Energy and Material Flow Optimization Framework
🚀 Purpose
flixopt is a Python-based optimization framework designed to tackle energy and material flow problems using mixed-integer linear programming (MILP).
flixopt bridges the gap between high-level energy systems models like FINE used for design and (multi-period) investment decisions and low-level dispatch optimization tools used for operation decisions.
flixopt leverages the fast and efficient linopy for the mathematical modeling and xarray for data handling.
flixopt provides a user-friendly interface with options for advanced users.
It was originally developed by TU Dresden as part of the SMARTBIOGRID project, funded by the German Federal Ministry for Economic Affairs and Energy (FKZ: 03KB159B). Building on the Matlab-based flixOptMat framework (developed in the FAKS project), FlixOpt also incorporates concepts from oemof/solph.
🌟 Key Features
High-level Interface with low-level control
- User-friendly interface for defining flow systems
- Pre-defined components like CHP, Heat Pump, Cooling Tower, etc.
- Fine-grained control for advanced configurations
Investment Optimization
- Combined dispatch and investment optimization
- Size optimization and discrete investment decisions
- Combined with On/Off variables and constraints
Effects, not only Costs --> Multi-criteria Optimization
- flixopt abstracts costs as so called 'Effects'. This allows to model costs, CO2-emissions, primary-energy-demand or area-demand at the same time.
- Effects can interact with each other(e.g., specific CO2 costs)
- Any of these
Effectscan be used as the optimization objective. - A Weigted Sum of Effects can be used as the optimization objective.
- Every Effect can be constrained ($\epsilon$-constraint method).
Calculation Modes
- Full - Solve the model with highest accuracy and computational requirements.
- Segmented - Speed up solving by using a rolling horizon.
- Aggregated - Speed up solving by identifying typical periods using TSAM. Suitable for large models.
📦 Installation
Install FlixOpt via pip.
pip install flixopt
With HiGHS included out of the box, flixopt is ready to use..
We recommend installing FlixOpt with all dependencies, which enables additional features like interactive network visualizations (pyvis) and time series aggregation (tsam).
pip install "flixopt[full]"
📚 Documentation
The documentation is available at https://flixopt.github.io/flixopt/latest/
🛠️ Solver Integration
By default, FlixOpt uses the open-source solver HiGHS which is installed by default. However, it is compatible with additional solvers such as:
For detailed licensing and installation instructions, refer to the respective solver documentation.
📖 Citation
If you use FlixOpt in your research or project, please cite the following:
- Main Citation: DOI:10.18086/eurosun.2022.04.07
- Short Overview: DOI:10.13140/RG.2.2.14948.24969
GitHub Events
Total
- Create event: 104
- Issues event: 28
- Release event: 15
- Delete event: 88
- Issue comment event: 110
- Push event: 332
- Pull request review comment event: 14
- Pull request review event: 29
- Pull request event: 145
Last Year
- Create event: 104
- Issues event: 28
- Release event: 15
- Delete event: 88
- Issue comment event: 110
- Push event: 332
- Pull request review comment event: 14
- Pull request review event: 29
- Pull request event: 145
Committers
Last synced: 6 months ago
Top Committers
| Name | Commits | |
|---|---|---|
| FBumann | 1****n | 1,605 |
| fpanitz | F****z@t****e | 127 |
| baumbude | b****e@g****m | 62 |
| Peter Stange | p****e@t****e | 16 |
| fel15133 | f****z@i****e | 11 |
| Felix Panitz | f****z@t****e | 6 |
Committer Domains (Top 20 + Academic)
Issues and Pull Requests
Last synced: 6 months ago
All Time
- Total issues: 93
- Total pull requests: 327
- Average time to close issues: 2 months
- Average time to close pull requests: 3 days
- Total issue authors: 7
- Total pull request authors: 3
- Average comments per issue: 1.4
- Average comments per pull request: 0.72
- Merged pull requests: 223
- Bot issues: 0
- Bot pull requests: 0
Past Year
- Issues: 65
- Pull requests: 292
- Average time to close issues: 15 days
- Average time to close pull requests: 3 days
- Issue authors: 7
- Pull request authors: 3
- Average comments per issue: 1.23
- Average comments per pull request: 0.79
- Merged pull requests: 199
- Bot issues: 0
- Bot pull requests: 0
Top Authors
Issue Authors
- FBumann (79)
- baumbude (7)
- PRse4 (2)
- PStange (2)
- JonaGL (1)
- dizont (1)
- brokenwings01 (1)
Pull Request Authors
- FBumann (303)
- baumbude (21)
- PStange (3)
Top Labels
Issue Labels
Pull Request Labels
Packages
- Total packages: 3
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Total downloads:
- pypi 238 last-month
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Total dependent packages: 0
(may contain duplicates) -
Total dependent repositories: 0
(may contain duplicates) - Total versions: 57
- Total maintainers: 1
proxy.golang.org: github.com/flixopt/flixopt
- Documentation: https://pkg.go.dev/github.com/flixopt/flixopt#section-documentation
- License: mit
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Latest release: v2.1.6+incompatible
published 6 months ago
Rankings
proxy.golang.org: github.com/flixOpt/flixOpt
- Documentation: https://pkg.go.dev/github.com/flixOpt/flixOpt#section-documentation
- License: mit
-
Latest release: v2.1.6+incompatible
published 6 months ago
Rankings
pypi.org: flixopt
Vector based energy and material flow optimization framework in Python.
- Documentation: https://flixopt.readthedocs.io/
- License: MIT License
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Latest release: 2.1.6
published 6 months ago