Funded Research Project
AI-powered LCA Framework
A machine learning-driven research framework for biomass gasification that accelerates hydrogen production optimization through AI-powered literature analysis and environmental impact prediction. Features advanced RAG system, multi-technology LCA comparison, and automated experimental data extraction from 60+ scientific papers.
Overview
This research project addresses the critical need for sustainable hydrogen production by leveraging AI to optimize biomass gasification processes. The framework revolutionizes traditional Life Cycle Assessment methods by automating data extraction from scientific literature and providing predictive environmental impact analysis. This work demonstrates a 30% improvement over conventional LCA approaches while analyzing 18 environmental impact categories across 4 gasification technologies. The project bridges the gap between academic research and practical environmental decision-making, offering researchers and policymakers a powerful tool for evaluating clean energy technologies.