Impact of sulfur-ash reduction treatment on combustion performance, SOx emissions, and flue gas temperatures of lignite coals: experimental and computational study.

IF 5.8 3区 环境科学与生态学 0 ENVIRONMENTAL SCIENCES Environmental Science and Pollution Research Pub Date : 2025-02-12 DOI:10.1007/s11356-025-36064-5
Mansoor Ahmed Lakhmir, Faheem Akhter, Jawad Ahmed, Sidra Mushtaq, Haris Jawad Arain, Muhammad Junaid Ahsan
{"title":"Impact of sulfur-ash reduction treatment on combustion performance, SOx emissions, and flue gas temperatures of lignite coals: experimental and computational study.","authors":"Mansoor Ahmed Lakhmir, Faheem Akhter, Jawad Ahmed, Sidra Mushtaq, Haris Jawad Arain, Muhammad Junaid Ahsan","doi":"10.1007/s11356-025-36064-5","DOIUrl":null,"url":null,"abstract":"<p><p>This study is focused on experimental and computational investigation into effects of sulfur-ash reduction treatment over environmental and simulated combustion behavior of lignite coals, specifically Lakhra and Balochistan coals. The simulative investigation was conducted using computational fluid dynamics (CFD). A 2D CFD model of a coal combustor was developed using Ansys FLUENT to analyze the impact of coal treatment, pressure, and coal feeding rate on sulfur oxide (SOx) generation, combustion efficiency, and temperature profiles. The research aims to provide insights into optimizing coal combustion processes for efficient energy production and reduced environmental impact. The results indicate that treating coal leads to an increase in CO<sub>2</sub> and H<sub>2</sub>O production while reducing CO levels, particularly evident in Balochistan coal. Elevated pressure positively affects combustion efficiency, reflected in higher CO<sub>2</sub> and H<sub>2</sub>O mole fractions. The study also reveals that while combustion efficiency slightly decreases with an increase in coal feeding rate, treated coal exhibits a lesser decrease compared to raw coal. SOx generation is significantly reduced up to 55 to 62% after treatment, reaching negligible levels, with both pressure and coal feeding rate influencing SOx generation. Despite similar sulfur content, Lakhra and Balochistan coals exhibit comparable SOx generation due to their similar sulfur ranges. Temperature profiles show that treated coals exhibit higher temperatures during combustion compared to raw coals, with pressure and coal feeding rate directly influencing temperature. Maximum temperature was found in the range of 2555 to 2564 K. While pressure has a minor positive effect on temperature for Lakhra coal, Balochistan coal shows high sensitivity to pressure. These findings highlight the importance of coal treatment and pressure optimization for reducing SOx emissions and improving combustion efficiency in coal-fired power plants.</p>","PeriodicalId":545,"journal":{"name":"Environmental Science and Pollution Research","volume":" ","pages":""},"PeriodicalIF":5.8000,"publicationDate":"2025-02-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Environmental Science and Pollution Research","FirstCategoryId":"93","ListUrlMain":"https://doi.org/10.1007/s11356-025-36064-5","RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"0","JCRName":"ENVIRONMENTAL SCIENCES","Score":null,"Total":0}
引用次数: 0

Abstract

This study is focused on experimental and computational investigation into effects of sulfur-ash reduction treatment over environmental and simulated combustion behavior of lignite coals, specifically Lakhra and Balochistan coals. The simulative investigation was conducted using computational fluid dynamics (CFD). A 2D CFD model of a coal combustor was developed using Ansys FLUENT to analyze the impact of coal treatment, pressure, and coal feeding rate on sulfur oxide (SOx) generation, combustion efficiency, and temperature profiles. The research aims to provide insights into optimizing coal combustion processes for efficient energy production and reduced environmental impact. The results indicate that treating coal leads to an increase in CO2 and H2O production while reducing CO levels, particularly evident in Balochistan coal. Elevated pressure positively affects combustion efficiency, reflected in higher CO2 and H2O mole fractions. The study also reveals that while combustion efficiency slightly decreases with an increase in coal feeding rate, treated coal exhibits a lesser decrease compared to raw coal. SOx generation is significantly reduced up to 55 to 62% after treatment, reaching negligible levels, with both pressure and coal feeding rate influencing SOx generation. Despite similar sulfur content, Lakhra and Balochistan coals exhibit comparable SOx generation due to their similar sulfur ranges. Temperature profiles show that treated coals exhibit higher temperatures during combustion compared to raw coals, with pressure and coal feeding rate directly influencing temperature. Maximum temperature was found in the range of 2555 to 2564 K. While pressure has a minor positive effect on temperature for Lakhra coal, Balochistan coal shows high sensitivity to pressure. These findings highlight the importance of coal treatment and pressure optimization for reducing SOx emissions and improving combustion efficiency in coal-fired power plants.

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
求助全文
约1分钟内获得全文 去求助
来源期刊
CiteScore
8.70
自引率
17.20%
发文量
6549
审稿时长
3.8 months
期刊介绍: Environmental Science and Pollution Research (ESPR) serves the international community in all areas of Environmental Science and related subjects with emphasis on chemical compounds. This includes: - Terrestrial Biology and Ecology - Aquatic Biology and Ecology - Atmospheric Chemistry - Environmental Microbiology/Biobased Energy Sources - Phytoremediation and Ecosystem Restoration - Environmental Analyses and Monitoring - Assessment of Risks and Interactions of Pollutants in the Environment - Conservation Biology and Sustainable Agriculture - Impact of Chemicals/Pollutants on Human and Animal Health It reports from a broad interdisciplinary outlook.
期刊最新文献
Comment on "An examination of daily CO2 emissions prediction through a comparative analysis of machine learning, deep learning, and statistical models". Comments on "Research trends on the relationship between air pollution and cardiovascular diseases in 2013-2022 - A scientometric analysis". Correction to: Editorial trend: adverse outcome pathway (AOP) and computational strategy - towards new perspectives in ecotoxicology. Enhancing drought monitoring with a multivariate hydrometeorological index and machine learning-based prediction in the south of Iran. Photocatalytic degradation of polycyclic aromatic hydrocarbons under visible light irradiation in water using TiO2/MgO nanocomposites.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1