用线性回归与膜方程估算碳捕集关键参数，提升膜材料设计效率
Advancing Carbon Capture using AI: Design of permeable membrane and estimation of parameters for Carbon Capture using linear regression and membrane-based equations
- 基于膜方程构建线性回归模型，估算孔隙率、黏度等核心参数
- 计算得CO₂渗透率为0.045，流速达3.2559 kg/m²s，性能指标明确
- 为工业碳捕集提供可优化的膜设计指导，适合能源与环保研究者
本研究聚焦于膜基系统在二氧化碳分离中的应用，应对气候变化带来的紧迫减排需求。通过线性回归模型结合膜方程，从合成数据中估算出关键参数：孔隙率ε为0.4805，Kozeny常数K为2.9084，比表面积σ为105.3272 m²/m³，平均压力Pm为6.2166 MPa，黏度μ为0.1997 Ns/m²，气体通量Jg为3.2559 kg·m⁻²·s⁻¹。分析还得出流量Q为9.8778×10⁻⁴ m³/s，入口压力P₁为2.8219 MPa，出口压力P₂为2.5762 MPa。CO₂渗透率为0.045，表明具备高效分离潜力。优化膜特性以选择性阻挡CO₂同时允许其他气体通过，对提升碳捕集效率至关重要。将该技术整合至工业流程可显著降低温室气体排放，推动循环碳经济与联合国可持续发展目标（SDGs）实现。研究进一步探讨人工智能在碳捕集膜设计中的应用前景。
原文摘要 · Abstract (English)
This study focuses on membrane-based systems for CO$_2$ separation, addressing the urgent need for efficient carbon capture solutions to mitigate climate change. Linear regression models, based on membrane equations, were utilized to estimate key parameters, including porosity ($ε$) of 0.4805, Kozeny constant (K) of 2.9084, specific surface area ($σ$) of 105.3272 m$^2$/m$^3$, mean pressure (Pm) of 6.2166 MPa, viscosity ($μ$) of 0.1997 Ns/m$^2$, and gas flux (Jg) of 3.2559 kg m$^{-2}$ s$^{-1}$. These parameters were derived from the analysis of synthetic datasets using linear regression. The study also provides insights into the performance of the membrane, with a flow rate (Q) of 9.8778 $\times$ 10$^{-4}$ m$^3$/s, an injection pressure (P$_1$) of 2.8219 MPa, and an exit pressure (P$_2$) of 2.5762 MPa. The permeability value of 0.045 for CO$_2$ indicates the potential for efficient separation. Optimizing membrane properties to selectively block CO$_2$ while allowing other gases to pass is crucial for improving carbon capture efficiency. By integrating these technologies into industrial processes, significant reductions in greenhouse gas emissions can be achieved, fostering a circular carbon economy and contributing to global climate goals. This study also explores how artificial intelligence (AI) can aid in designing membranes for carbon capture, addressing the global climate change challenge and supporting the Sustainable Development Goals (SDGs) set by the United Nations.
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