The Biorefinery Simulation and Techno-Economic Analysis Modules; Life Cycle Assessment; Chemical Process Simulation Under Uncertainty
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Updated
Nov 22, 2024 - Python
The Biorefinery Simulation and Techno-Economic Analysis Modules; Life Cycle Assessment; Chemical Process Simulation Under Uncertainty
BioSTEAM's Premier Repository for Biorefinery Models and Results
Quantitative Sustainable Design (QSD) of sanitation and resource recovery systems.
pyH2A is a Python framework for the analysis of hydrogen production cost
Tool to estimate the hydropower potential of a site.
EXPOsition of sanitation and resource recovery systems
Global Satellite Assessment Tool (GlobalSAT)
BioSTEAM-Assisted Educational Resources
This repository contains the MATLAB codes used for the design, simulation, techno-economic analysis (TEA), and life cycle assessment (LCA) of different anaerobic membrane bioreactor (AnMBR) configurations and the conventional activated sludge (AS) process.
This repository contains a model designed to evaluate the resource recovery potential, economics, and greenhouse gas emissions associated with three sanitation scenarios (the existing sanitation system and two alternatives) in Bwaise, Uganda.
POSTED: Potsdam open-source techno-economic database
ReFlowLab is a toolkit for the calculation of capital costs of redox flow batteries.
This repository contains the MATLAB scripts used for techno-economic analysis (TEA) and life cycle assessment (LCA) for different perchlorate removal technologies.
Recovery of rare Earth Elements from Phosphogypsum System
Green hydrogen for industrial sector decarbonization: Costs and impacts on hydrogen economy in Qatar
This repository contains the Python scripts used for techno-economic analysis (TEA) and life cycle assessment (LCA) for a liquid reclaimer sanitation system.
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