Solid Waste Optimization Life-cycle Framework in Python (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.

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

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

Website for SwolfPy Project.

Caste study with SwolfPy.

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