DOI: 10.57760/sciencedb.33124
title: Ca-Mn Composite Desulfurizer SO₂/Hg⁰ Synergistic Removal Performance and Material Characterization Image Dataset
title: Ca-Mn 复合脱硫剂SO₂/Hg⁰协同脱除性能及材料表征图片数据集

description: 1. Dataset generation and processing The dataset is generated around the entire process of Ca Mn composite desulfurizer. Four types of samples were prepared, including unmodified Ca (OH)2, F127 only modified, Mn only modified, and Mn-F127 synergistic modified (Mn-x/F-y series). Mn-45/F-0.2 was selected as the core research object. Material characterization was completed through XRD, SEM, TEM and other methods, and desulfurization and mercury removal performance and cycling stability tests were carried out using a fixed bed reactor. Characterization data of samples before and after the reaction were collected synchronously. In terms of processing, Jade was used to analyze XRD phases, XPS Peak Fit was used to fit element valence states, and BET/BJH models were used to calculate pore parameters. Origin plotted performance curves, and testing equipment included Bruker XRD (2 θ scan 10-70 ° C), Hitachi SEM (acceleration voltage 10kV), Thermo Fisher XPS, and Lumex mercury analyzer. 2. Time and Space Information The experiment is a multi replicate experiment of the same batch (n ≥ 3), and the data is taken as the average of parallel experiments. The dynamic data recording interval is 2 minutes, and the single desulfurization test lasts for 50-120 minutes. The Hg0 removal test needs to be equilibrated for 30 minutes and then stabilized for 12 hours. The experimental site is located in the Yanzhao Electric Power Laboratory and the Department of Environmental Science and Engineering Laboratory at the Baoding Campus of North China Electric Power University. The micro morphology analysis resolution reaches the nanometer level (SEM scale 500nm, TEM scale 5-100nm), and XPS focuses on the chemical state of the material surface at a depth of 1-10 nm.3. Data loss and error The dataset has no missing key data, and all characterization, performance testing, and mechanism analysis processes are supported by complete images. The main sources of error are instrument accuracy (such as relative error of Mn content measured by ICP ± 0.01wt.%, absolute error of SO2 concentration measurement ± 5ppm) and experimental control (reaction temperature fluctuation ± 5 ℃, flue gas flow rate error ± 50mL/min). By taking the average of multiple parallel experiments, the impact of errors on the core conclusion can be effectively reduced. 4. Image data There are a total of 12 core images, covering three types of core content: firstly, material characterization images (XRD, SEM, TEM, etc.), presenting the sample phase, microstructure, and element distribution; The second is the performance test chart (penetration curve, efficiency impact curve, cycle stability curve), which reflects the influence of desulfurization and mercury removal performance and flue gas conditions; The third is the mechanism analysis diagram (XRD, XPS spectra before and after the reaction), which reveals the chemical mechanism of synergistic removal. All images directly support the core conclusion of "improving desulfurization and mercury removal performance through modification". 
description: 1. Dataset generation and processing The dataset is generated around the entire process of Ca Mn composite desulfurizer. Four types of samples were prepared, including unmodified Ca (OH)2, F127 only modified, Mn only modified, and Mn-F127 synergistic modified (Mn-x/F-y series). Mn-45/F-0.2 was selected as the core research object. Material characterization was completed through XRD, SEM, TEM and other methods, and desulfurization and mercury removal performance and cycling stability tests were carried out using a fixed bed reactor. Characterization data of samples before and after the reaction were collected synchronously. In terms of processing, Jade was used to analyze XRD phases, XPS Peak Fit was used to fit element valence states, and BET/BJH models were used to calculate pore parameters. Origin plotted performance curves, and testing equipment included Bruker XRD (2 θ scan 10-70 ° C), Hitachi SEM (acceleration voltage 10kV), Thermo Fisher XPS, and Lumex mercury analyzer. 2. Time and Space Information The experiment is a multi replicate experiment of the same batch (n ≥ 3), and the data is taken as the average of parallel experiments. The dynamic data recording interval is 2 minutes, and the single desulfurization test lasts for 50-120 minutes. The Hg0 removal test needs to be equilibrated for 30 minutes and then stabilized for 12 hours. The experimental site is located in the Yanzhao Electric Power Laboratory and the Department of Environmental Science and Engineering Laboratory at the Baoding Campus of North China Electric Power University. The micro morphology analysis resolution reaches the nanometer level (SEM scale 500nm, TEM scale 5-100nm), and XPS focuses on the chemical state of the material surface at a depth of 1-10 nm.3. Data loss and error The dataset has no missing key data, and all characterization, performance testing, and mechanism analysis processes are supported by complete images. The main sources of error are instrument accuracy (such as relative error of Mn content measured by ICP ± 0.01wt.%, absolute error of SO2 concentration measurement ± 5ppm) and experimental control (reaction temperature fluctuation ± 5 ℃, flue gas flow rate error ± 50mL/min). By taking the average of multiple parallel experiments, the impact of errors on the core conclusion can be effectively reduced. 4. Image data There are a total of 12 core images, covering three types of core content: firstly, material characterization images (XRD, SEM, TEM, etc.), presenting the sample phase, microstructure, and element distribution; The second is the performance test chart (penetration curve, efficiency impact curve, cycle stability curve), which reflects the influence of desulfurization and mercury removal performance and flue gas conditions; The third is the mechanism analysis diagram (XRD, XPS spectra before and after the reaction), which reveals the chemical mechanism of synergistic removal. All images directly support the core conclusion of "improving desulfurization and mercury removal performance through modification".