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

Solid Waste Optimization Life-cycle Framework in Python (SwolfPy)'s repositories

swolfpy

SwolfPy is a free, multi-platform, Python-based, open-source, SWM LCA optimization framework with built-in parametric and Monte Carlo sensitivity and uncertainty analysis capabilities.

Language:PythonGPL-2.023 4 6

swolfpy-inputdata

The swolfpy-inputdata module is responsible for storing, updating, and generating new uncertain input data for the process models in swolfpy-processmodels.

Language:PythonGPL-2.08 20

swolfpy-processmodels

The swolfpy-processmodels module is responsible for calculating and reporting the LCI of the waste management processes.

Language:PythonGPL-2.05 20

CaseStudy-JIE2021

Caste study with SwolfPy.

Language:Jupyter NotebookGPL-2.0400

OFMSW

Life-Cycle Optimization to Develop and Assess of Sustainable Organic Waste Management Strategies in the United States

Language:HTMLGPL-2.0100

Swolfpy-Project.github.io

Website for SwolfPy Project.

Language:SCSSGPL-2.0000