CARBON NOVA: AN AI-DRIVEN INTELLIGENT SYSTEM FOR CONVERTING CO_ INTO CLEAN FUELS, BIOPLASTICS, AND ADVANCED NANOMATERIALS USING GREEN HYDROGEN
The continuous rise in carbon dioxide (CO₂) levels in the atmosphere is one of the main causes of climate change and environmental damage. Many current solutions focus only on reducing future emissions, while large amounts of CO₂ already exist in the air. This project, CarbonNova, aims to address this problem by treating carbon dioxide as a useful resource rather than a harmful waste. The goal of this project is to design a smart and sustainable system that converts captured CO₂ into valuable products such as clean fuel, biodegradable plastic, and advanced nanomaterials. The system uses green hydrogen produced from renewable energy sources and applies artificial intelligence to improve efficiency and control the conversion process. The proposed method starts with capturing CO₂ from industrial sources or directly from the air. Green hydrogen is then produced through water electrolysis using renewable energy. Both CO₂ and hydrogen are fed into a smart bioreactor where specially designed microorganisms help convert carbon into useful materials. Sensors are used to measure important factors such as temperature, pressure, and gas flow. An AI system analyzes this data and adjusts the process in real time to achieve better performance and lower energy use. After the reaction, the final products are separated and prepared for practical use. Based on early simulations and previous research, the system is expected to reach a CO₂ conversion efficiency of up to about 85%. Unlike traditional carbon capture and storage methods, this project focuses on using carbon instead of storing it, making the system more sustainable and economically valuable. The importance of this project lies in its ability to reduce carbon emissions while producing useful materials. CarbonNova supports environmental sustainability and promotes a circular carbon economy. The system can be scaled for industrial use and shows how engineering, renewable energy, and artificial intelligence can work together to solve real-world environmental problems.