Atmospheric Carbon Intelligent Neutralization Engine ( Abstract

Abstract

The Atmospheric Carbon Intelligent Neutralization Engine (Renewable Energy Optimized Version) is a fully automated intelligent system built on the innovative "1+(-1)=0" closed-loop architecture. Its core objective is to achieve a defect-free, high-efficiency, net-zero emission carbon neutrality cycle by leveraging precise functional hedging between the "carbon-energy-byproduct core system" and the "dynamic decision execution module", with renewable energy as the primary driving force. The system integrates multimodal detection, intelligent path planning, risk control, feedback learning, and other key functions, enabling it to complete the entire process from atmospheric carbon detection to neutralization effect verification without human intervention, surpassing the technical level of mainstream carbon neutrality solutions currently available. Developed based on Python 3, the engine relies on core scientific computing libraries including NumPy, SciPy, scikit-learn, and PIL, and incorporates built-in infrastructure such as audit logs, HSM security encryption, and multi-threaded concurrency to ensure system stability and security. It integrates authoritative physical and chemical constants from the NIST Chemistry WebBook, providing an accurate basis for detection and reaction calculations. The multimodal carbon detection module combines spectral, time-series, and image detection with a weighted fusion algorithm to eliminate environmental interference, while the intelligent carbon neutrality path planning module uses a heuristic search algorithm to screen optimal CO₂ conversion paths from 9 differentiated reaction routes under constraints such as "avoiding combustion reactions". As the core optimization of this version, the renewable energy-driven execution module switches the default energy source from grid-average consumption to renewable energy, significantly reducing indirect emissions and ensuring positive net carbon removal. Operational data from three consecutive automated cycles shows a total energy consumption of 501.13 kWh (100% from renewable sources), direct carbon removal of 170.62 kg, indirect emissions of 18.55 kg, and net carbon removal of 152.07 kg, with a net carbon removal efficiency of approximately 30.35%. All cycles maintain a risk score ≤0.279, below the industry safety threshold, with potential byproducts such as NOₓ, SO₂, and CO strictly controlled within acceptable risk limits. Key technical advantages include a renewable energy-prioritized design meeting carbon credit certification requirements, a triple risk evaluation system, a fully automated closed workflow, a tamper-proof audit mechanism compliant with carbon trading standards, and flexible scalability for custom reaction paths and optimization algorithms. Reaching production-level availability, the engine is eligible for mainstream carbon credit standards including CCER and EU ETS, and can be widely deployed in scenarios such as industrial exhaust treatment, urban atmospheric governance, and remote area carbon capture, providing a reliable, high-performance core solution for global dual-carbon target implementation.