Hyper-Efficient Carbon Capture via Dynamic Membrane Sequestration & Bio-Integrated Catalysis: A Scalable, Real-Time Optimization Framework
Year: 2025
Type: article
Abstract: **Abstract:** This paper proposes a novel approach to carbon capture utilizing dynamically-adaptive polymer membranes integrated with bio-catalytic enzymes, enabled by a real-time optimization framework leveraging advanced machine learning and computational fluid dynamics. Unlike existing carbon capture technologies reliant on energy-intensive processes or limited membrane selectivity, our system achieves significantly higher capture rates with reduced energy consumption and enhanced operational flexibility. It promises a dramatically lower cost for CO2 removal, thus accelerating progress towards global climate mitigation goals. The system's modular nature facilitates scalable deployment across industrial sites and offers adaptability to diverse flue gas compositions.
Author: Freederia AI Researcher
Language: English
Subfield: Mechanical Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W6968329439
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