Science Score: 49.0%
This score indicates how likely this project is to be science-related based on various indicators:
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○CITATION.cff file
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✓codemeta.json file
Found codemeta.json file -
✓.zenodo.json file
Found .zenodo.json file -
✓DOI references
Found 4 DOI reference(s) in README -
✓Academic publication links
Links to: zenodo.org -
○Academic email domains
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○Institutional organization owner
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (12.7%) to scientific vocabulary
Repository
Vores eget git repo til Hydesign
Basic Info
- Host: GitHub
- Owner: Katrine-Hagenau
- License: mit
- Language: Python
- Default Branch: master
- Size: 73.2 MB
Statistics
- Stars: 0
- Watchers: 0
- Forks: 0
- Open Issues: 0
- Releases: 0
Metadata Files
README.md
Welcome to Hydesign
The DTU tool for design, control and optimization of utility scale Hybrid Power- and Energy Plants inluding wind, solar, storage and P2X technologies. - Hydesign is a non-linear model for evaluating HPP projects including: - Wind turbine selection - Wake losses that depend on the number of turbines and the installation density of the wind plant - Internal energy management system operation of the plant. The operation of the HPP plant is designed in an ideal scenario without degradation and a actual operation that can include degradation of the battery, or PV plant, as well as forecast errors in wind, solar and spot prices. - Non-linear battery degradation - Detailed cost models for wind, solar and Li-ion battery - Detailed financial model based on weighted costs of capital per technology - P2X capability with power to Hydrogen
How to cite
If you make use of HyDesign please cite this paper, which inludes a detailed description of the methodology applied in the framework:
@Article{wes-9-759-2024,
AUTHOR = {Murcia Leon, J. P. and Habbou, H. and Friis-M{\o}ller, M. and Gupta, M. and Zhu, R. and Das, K.},
TITLE = {HyDesign: a tool for sizing optimization of grid-connected hybrid power plants including wind, solar photovoltaic, and lithium-ion batteries},
JOURNAL = {Wind Energy Science},
VOLUME = {9},
YEAR = {2024},
NUMBER = {4},
PAGES = {759--776},
URL = {https://wes.copernicus.org/articles/9/759/2024/},
DOI = {10.5194/wes-9-759-2024}
}
Source code repository (and issue tracker):
https://gitlab.windenergy.dtu.dk/TOPFARM/hydesign
License:
Documentation, installation, etc:
Owner
- Login: Katrine-Hagenau
- Kind: user
- Repositories: 1
- Profile: https://github.com/Katrine-Hagenau
GitHub Events
Total
- Member event: 1
- Push event: 12
- Create event: 2
Last Year
- Member event: 1
- Push event: 12
- Create event: 2
Dependencies
- continuumio/anaconda3 latest build
- NREL-PySAM *
- chaospy *
- cplex *
- dask *
- docplex *
- h5netcdf *
- h5py >=3.13
- matplotlib *
- netcdf4 *
- numpy >=2
- numpy-financial *
- openmdao *
- openpyxl *
- ortools *
- pandas *
- pvlib *
- pyyaml *
- rainflow *
- scikit-learn *
- scipy *
- smt ==2.9.2
- statsmodels *
- tqdm *
- xarray *
- zarr *