Name: Solid Waste Optimization Life-cycle Framework in Python (SwolfPy)
Type: Organization
Bio: SWM LCA optimization framework with built-in parametric and Monte Carlo sensitivity and uncertainty analysis capabilties.
Location: United States of America
Blog: swolfpy-project.github.io/
Solid Waste Optimization Life-cycle Framework in Python (SwolfPy)'s Projects
Caste study with SwolfPy.
Life-Cycle Optimization to Develop and Assess of Sustainable Organic Waste Management Strategies in the United States
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-inputdata module is responsible for storing, updating, and generating new uncertain input data for the process models in swolfpy-processmodels.
The swolfpy-processmodels module is responsible for calculating and reporting the LCI of the waste management processes.
Website for SwolfPy Project.