Solid Waste Optimization Life-cycle Framework in Python(SwolfPy)
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
Features
Life-cycle assessment of Municipal Solid Waste (MSW) systems
Comparative LCA
Contribution analysis
LCI report
Monte Carlo simulation
Uncertainty analysis
Data visualization (distributions & correlations)
Optimization
Minimize environmental burdens or cost subject to a number of technical or policy-related constraints
Process model |
Description |
|
|---|---|---|
1 |
Landfill (LF) |
Calculates emissions, material use, and energy use associated with construction, operations, closure and post-closure activities, landfill gas and leachate management, and carbon storage. |
2 |
Waste-to-Energy (WTE) |
Calculates emissions, mass flows, and resource use and recovery for the mass burn WTE process. |
3 |
Gasification & Syngas Combustion (GC) |
Calculates emissions, mass flows, and resource use and recovery for the GC process (Produced syngas from gasification is combusted to produce electricity by steam turbine). |
4 |
Composting (Comp) |
Calculates emissions, mass flows, and resource use and recovery for aerobic composting process and final use of compost. |
5 |
Home Composting (HC) |
Calculates emissions, mass flows, and resource use and recovery for home composting process and final use of compost. |
6 |
Anaerobic Digestion (AD) |
Calculates emissions, mass flows, and resource use and recovery for anaerobic digestion process and final use of compost. |
7 |
Single-Stream Material Recovery facility (SS_MRF) |
Calculates cost, emissions, and energy use associated with material recovery facilities. |
8 |
Refuse-Derived Fuel (RDF) |
Calculates cost, emissions, and energy use associated with RDF production facilities. |
9 |
Reprocessing (Reproc) |
Calculates emissions, mass flows, and resource use and recovery associated with recycling materials. |
10 |
Transfer Station (TS) |
Calculates cost, emissions, and energy use associated with Transfer Stations. |
11 |
Single Family Collection (SF_Col) |
Calculates cost, emissions, and fossil fuel use associated with MSW collection from single family sector. |
12 |
Multi Family Collection (MF_Col) |
Calculates cost, emissions, and fossil fuel use associated with MSW collection from multi-family sector. |
13 |
Commercial Collection (COM_Col) |
Calculates cost, emissions, and fossil fuel use associated with MSW collection from commercial sector. |
14 |
Animal Feed (AnF) |
Calculates cost, emissions, and energy use associated with conversion of food waste to animal feed and final use of produced feed. |
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 graphviz
4- Add Graphviz executables to your system PATH (This step is optional; Enables plotting SWM network). You can find Graphviz executables in \\miniconda3\\envs\\swolfpy\\Library\\bin\\graphviz folder or search for dot.exe file in your system. Add the directory to the Path variable in your environment variables.
5- Activate the environment:
conda activate swolfpy
6- Install swolfpy in the environment:
pip install swolfpy
7- Open python to run swolfpy:
python
8- Run swolfpy
In terminal:
swolfpy # or python -m swolfpyIn python:
import swolfpy as sp sp.SwolfPy()
History
1.4.0 (2024-03-02)
Pin the version of scipy to 1.8.0 to avoid inexact indices changed from a deprecation to raising an error in 1.9
Fix sphinx warnings
1.3.0 (2024-02-20)
Add entry point for the GUI (run swolfpy in terminal)
1.2.0 (2023-07-30)
Downgrade to Python 3.9
1.0.0 (2023-06-03)
Upgrade to Python 3.10
Add PreCommit
0.2.5 (2022-04-07)
Minor changes in optimization and GUI
0.2.3 (2021-11-16)
Improve data validation in GUI
Improve warning/Pop-ups
0.2.2 (2021-10-02)
Add Home Composting (HC)
Add Gasification & Syngas combustion (GC)
Add Refuse-derived fuel (RDF)
0.2.0 (2021-05-10)
Add tab for correlation analysis.
Add cost calculations.
Add help to interface.
Parallel optimization.
0.1.8 (2020-05-20)
Add tab for Monte Carlo results analysis.
Show Sankey for mass flows after optimization.
Show SWM Network graph.
0.1.6 (2020-04-11)
Add Reprocessing.
Revise Functional units.
Revise parameters class.
0.1.0 (2020-02-27)
First release on PyPI.
Main functionality: LCA, Monte-Carlo, and Optimization.
Process Models include LF, WTE, Composting, AD, SS_MRF, and Collection.
Metadata
Release files for swolfpy 1.4.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| swolfpy-1.4.0.tar.gz | 6.8 MB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| swolfpy-1.4.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 7.4 MB
Release files / swolfpy-1.4.0.tar.gz
| Download URL | swolfpy-1.4.0.tar.gz |
|---|---|
| Size | 6.8 MB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
7964cb077ef1d62960d8b583b81741456ade829b91934a2fc9ca4c8d21f4b953
|
|
BLAKE2b-256 checksum How to use checksums |
50756df90dae95791c9a2d4d894c59ffc9d330d67102a4086a2d2ec9cfe8a0a5
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.9.17
|
Release files / swolfpy-1.4.0-py3-none-any.whl
| Download URL | swolfpy-1.4.0-py3-none-any.whl |
|---|---|
| Size | 603.9 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
a578621027c05ca020df57f90ed869d5ac9637a67000f60705b8a3181f5acde0
|
|
BLAKE2b-256 checksum How to use checksums |
913595394137174fa174d81fb259a5b52032fa4da72239bf223e1ffa255d1fb1
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.9.17
|