swolfpy 1.0.1

Solid Waste Optimization Life-cycle Framework in Python(SwolfPy).

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

Life-cycle process models

	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=3.10 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 python:

import swolfpy as sp
sp.swolfpy()

History

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.