- Free software: GNU GENERAL PUBLIC LICENSE V2
- Website: https://swolfpy-project.github.io
- Documentation: https://swolfpy.readthedocs.io.
- Repository: https://github.com/SwolfPy-Project/swolfpy-inputdata
- Input data for Life-cycle process models of swolfpy
- Common data (e.g., molecular weights, heating values)
- Material properties (46 common waste fractions; e.g., Food waste, Yard waste)
- Chemical properties (e.g., carbon content, methane yield)
- Physical properties (e.g., moisture content, density)
- Material dependent process model inputs (e.g., separation efficiency for each waste fraction in the trommel)
- Material indepent process model inputs
- Built-in Monte Carlo simulation
| Field | Description |
|---|---|
| Category | Category of the input (e.g., energy recovery, post closure) |
| Dictonary_Name | Name of the dictionary and attribute (whitespace is not allowed) |
| Parameter Name | Short name of the parameter (whitespace is not allowed) |
| Parameter Description | Longer description of the parameter |
| Amount | Default value for the parameter |
| Unit | Unit of the parameter (e.g., MJ/Mg, kW, hours/day) |
| Uncertainty_type | 0: Undefined, 2: Lognormal, 3: normal, 4: Uniform, 5: Triangular, 7: Discrete Uniform |
| Loc | Mean for lognormal and normal distribution |
| scale | Standard deviation for lognormal and normal distribution |
| shape | Shape parameter for Weibull, Gamma or Beta distributions |
| Minimum | Lower bound/minimum for lognormal, normal, uniform, triangular, and discrete uniform distributions |
| maximum | Upper bound/maximum for lognormal, normal, uniform, triangular, and discrete uniform distributions |
| Reference | |
| Comment |
1- Download and install miniconda from: https://docs.conda.io/en/latest/miniconda.html
2- Update conda in a terminal window or anaconda prompt:
conda update conda
3- Create a new environment for swolfpy:
conda create --name swolfpy python=3.9
4- Activate the environment:
conda activate swolfpy
5- Install swolfpy_inputdata in the environment:
pip install swolfpy_inputdata
6- Use in python (e.g., Landfill model):
import swolfpy_inputdata as spid data = spid.LF_Input() model.calc() #Example: Returs the actk parameter in landfill data.LF_gas['actk'] #Example: Returns input data in dataframe format data.Data