催化剂工程放大与合成工艺优化

2019YFB1503905-002-低碳醇合成催化剂放大制备与反应工艺优化研究科学数据集主要包括催化剂工程放大实施方案、催化剂网络结构及样品、公斤级催化剂工程放大流程示意图、催化剂放大原料选择及性能、催化剂放大制备及反应工艺优化研究相关数据。2019YFB1503905-002-低碳醇合成催化剂放大制备与反应工艺优化研究科学数据集于2019年01月-2022年10月在中国科学院山西煤炭化学研究所房克功研究员，李文斌助理研究员的指导下，研究生黄潮在中国科学院山西煤炭化学研究所煤转化重点实验室及公共技术分析测试中心开展合成醇评价实验，物理吸附仪（Micrometrics ASA2000）测试样品表表面积和孔分布。通过X射线衍射仪（D8Advance BrukerAXS，德国测定催化剂基本组成和晶型。通过扫描电子显微镜（SEM，JSM-7001F，日本）测定催化剂微观形貌。原料气及合成产物均采用气相色谱进行离线分析。用微量注射器将试样注入色谱仪，混合醇中各组分在FAPP色谱柱上得到分离，用氢火焰离子化检测器(FID)或热导检测器（TCD）进行检测，用校正面积归一法进行定量计算。
该数据集主要由如下内容组成：催化剂工程放大实施方案、催化剂网络结构及样品、公斤级催化剂工程放大流程示意图、催化剂放大原料选择及性能、催化剂放大制备及反应工艺优化研究相关数据，包括19个图表（表1-表5，图1-图14），3个excel支撑数据（图1，图2，图3）。

The Scientific Dataset 2019YFB1503905-002 for Scale-up Preparation and Reaction Process Optimization of Light Alcohols Synthesis Catalysts mainly includes relevant data covering the engineering scale-up implementation plan for catalysts, the network structure and samples of catalysts, schematic diagrams of the kilogram-scale catalyst engineering scale-up process, raw material selection and performance of scaled-up catalysts, and studies related to catalyst scale-up preparation and reaction process optimization. This dataset was developed between January 2019 and October 2022. Graduate student Huang Chao conducted synthesis alcohol evaluation experiments at the Key Laboratory of Coal Conversion and the Public Technical Analysis and Testing Center of Shanxi Institute of Coal Chemistry, Chinese Academy of Sciences, under the guidance of Research Professor Fang Kegong and Assistant Research Professor Li Wenbin from this institute. The specific surface area and pore size distribution of the samples were measured using a physical adsorption analyzer (Micrometrics ASA2000). The basic composition and crystal phase of the catalysts were determined via X-ray diffraction (XRD) using a D8 Advance Bruker AXS diffractometer made in Germany. The microscopic morphology of the catalysts was characterized by scanning electron microscopy (SEM, JSM-7001F, made in Japan). Raw synthesis gas and the as-synthesized products were analyzed off-line via gas chromatography (GC). Samples were injected into the GC using a microsyringe. Each component in the mixed alcohols was separated on a FAPP chromatography column, detected by a flame ionization detector (FID) or thermal conductivity detector (TCD), and quantitatively calculated using the corrected area normalization method. This dataset primarily consists of the following content: relevant data related to the catalyst engineering scale-up implementation plan, catalyst network structure and samples, schematic diagrams of the kilogram-scale catalyst engineering scale-up process, raw material selection and performance of scaled-up catalysts, as well as studies on catalyst scale-up preparation and reaction process optimization. It includes 19 figures and tables (Tables 1–5, Figures 1–14) and 3 supporting Excel data files corresponding to Figures 1, 2, and 3.

搜集汇总

背景与挑战

背景概述

该数据集聚焦于低碳醇合成催化剂的工程放大与合成工艺优化，属于国家重点研发计划项目'低质生物质气化合成混合醇燃料技术'的一部分。数据集包含催化剂放大实施方案、样品结构、流程示意图及工艺优化相关数据，共19个图表和3个Excel文件，总数据量4.09MB，适用于能源科学技术领域的研究与应用。