Electrochemical reduction of CO2 (ERC) into useful products, such as formic acid and carbon monoxide, is a fascinating approach for CO2 fixation as well as energy storage. Sn‐based materials are attractive catalysts for highly selective ERC into C1 products (including HCOOH and CO), but still suffer from high overpotential, low current density, and poor stability. Here, One‐dimensional (1D) SnO2 with wire‐in‐tube (WIT) structure is synthesized and shows superior selectivity for C1 products. Using the WIT SnO2 as the ERC catalyst, very high Faradaic efficiency of C1 products (>90%) can be achieved at a wide potential range from −0.89 to −1.29 V versus RHE, thus substantially suppressing the hydrogen evolution reaction. The electrocatalyst also exhibits excellent long‐term stability. The improved catalytic activity of the WIT SnO2 over the commercial SnO2 nanoparticle indicates that higher surface area and large number of grain boundaries can effectively enhance the ERC activity. Synthesized via a facile and low‐cost electrospinning technology, the reduced WIT SnO2 can serve as a promising electrocatalyst for efficient CO2 to C1 products conversion.

Consequence analysis can timely predict the occurrence of potential chemical safety accidents, but is time-consuming and inaccurate when using a manual and qualitative mode. A safety con-sequence analysis method based on dynamic simulation is proposed for chemical processes in this paper. The dynamic simulation system of chemical process is composed of complete thermodynamic model and general unit model to quantitatively describe the dynamic change of chemical process parameters. Combined with fault tree analysis, the accident model is designed prior to forecasting safety consequences by computational fluid dynamics. This method was applied to acetylene production process. A dynamic simulation system was designed to calculate the pressure and concentration of acetylene leakage gas and analyze the parameters affecting the diffusion of acetylene gas. The results show that this method can obtain the quantitative change of acetylene concentration with time at different locations around acetylene generator, which is convenient for accurate and dynamic analysis of process safety consequence.