Input data for Solid Waste Optimization Life-cycle Framework in Python(SwolfPy)
Project description
Input Data for Solid Waste Optimization Life-cycle Framework in Python(swolfpy_inputdata)
Free software: GNU GENERAL PUBLIC LICENSE V2
Documentation: https://swolfpy.readthedocs.io.
Repository: https://bitbucket.org/swolfpy/swolfpy_inputdata
Features
Input data for Life-cycle process models of swolfpy, include: Landfill, Waste-to-Energy (WTE), Composting, Anaerobic Digestion (AD), Single Stream Material Recovery Facility (MRF), Reprocessing, and Collection.
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_inputdata:
conda create --name swolfpy python=3.7
4- Activate the environment:
conda activate swolfpy
5- Install swolfpy_inputdata in the environment:
pip install swolfpy_inputdata
History
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.
Project details
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