swolfpy-inputdata 1.1.0

Features

• 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

Installation

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

1.1.0 (2023-07-30)

• Downgrade to Python 3.9

1.0.0 (2023-06-03)

• Upgrade to Python 3.10

• Add PreCommit

0.2.4 (2022-04-05)

• Add Multi-family and commercial Waste collection

• Add Animal feed production (AnF)

0.2.3 (2021-11-24)

• Update Landfill

0.2.1 (2021-10-02)

• New models: Gasification & Syngas combustion (GC), Refuse-Derived Fuel (RDF), Home composting (HC)

0.1.9 (2021-05-10)

• Life cycle cost, input data for TS, References

0.1.0 (2020-05-06)

• First release on PyPI. Data for the Life-cycle process models include: LF, WTE, Composting, AD, SS_MRF, reprocessing and Collection.