Modeling of arsenic migration and emission characteristics in coal-fired power plants

Copyright © 2023 Elsevier B.V. All rights reserved..

After coal combustion, the minerals present in fly ash can adsorb arsenic (As) during flue gas cooling and reduce As emissions. However, a quantitative description of this adsorption behavior is lacking. Herein, the As adsorption characteristics of minerals (Al/Ca/Fe/K/Mg/Na/Si) were investigated, and a model was developed to predict As content in fly ash. Lab-scale experiments and density functional theory calculations were performed to obtain mineral As adsorption potential. Then, the model was established using lab-scale experimental data for 11 individual coals. The model was validated using lab-scale data from ten blended coals and demonstrated acceptable performance, with prediction errors of 2.83-11.45 %. The model was applied to a 350 MW coal-fired power plant (CFPP) with five blended coals, and As concentration in the flue gas was predicted from a mass balance perspective. The experimental and predicted As contents in fly ash were 11.92-16.15 and 9.61-12.55 μg/g, respectively, with a prediction error of 17.39-22.29 %, and those in flue gas were 11.52-16.58 and 5.37-34.04 μg/Nm3. Finally, As distribution in the CFPP was explored: 0.74-1.51 % in bottom ash, 74.05-82.70 % in electrostatic precipitator ash, 0.53-1.19 % in wet flue gas desulfurization liquid, and 0.13-0.73 % in flue gas at the stack inlet.

Medienart:

E-Artikel

Erscheinungsjahr:

2024

Erschienen:

2024

Enthalten in:

Zur Gesamtaufnahme - volume:465

Enthalten in:

Journal of hazardous materials - 465(2024) vom: 05. Feb., Seite 133213

Sprache:

Englisch

Beteiligte Personen:

Zhao, Yan [VerfasserIn]
Zhang, Cheng [VerfasserIn]
Ma, Lun [VerfasserIn]
Yu, Shenghui [VerfasserIn]
Yuan, Changle [VerfasserIn]
Li, Junchen [VerfasserIn]
Tan, Peng [VerfasserIn]
Fang, Qingyan [VerfasserIn]
Luo, Guangqian [VerfasserIn]
Chen, Gang [VerfasserIn]

Links:

Volltext

Themen:

Arsenic adsorption capacity
Arsenic distribution prediction model
Fly ash
Journal Article
Migration behavior
Removal efficiency

Anmerkungen:

Date Revised 07.02.2024

published: Print-Electronic

Citation Status PubMed-not-MEDLINE

doi:

10.1016/j.jhazmat.2023.133213

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

NLM366253476