Advanced measurement techniques for gas-solids fluidized beds in the power and energy industry - A review∗

Xiaoli Zhu , Yi Xu , Qiuya Tu , Hanqiao Che , Haigang Wang
{"title":"Advanced measurement techniques for gas-solids fluidized beds in the power and energy industry - A review∗","authors":"Xiaoli Zhu ,&nbsp;Yi Xu ,&nbsp;Qiuya Tu ,&nbsp;Hanqiao Che ,&nbsp;Haigang Wang","doi":"10.1016/j.meaene.2024.100030","DOIUrl":null,"url":null,"abstract":"<div><div>Gas-solids fluidized beds are widely used in the power and energy sectors for processes such as coal and biomass combustion, as well as gasification. However, the complex and dynamic flow behaviors within these reactors present significant challenges to improving energy efficiency and minimizing environmental impacts. Understanding the hydrodynamics and developing reliable methods to measure key process parameters are essential for optimizing performance and controlling operations. This review provides a comprehensive analysis of current measurement and sensor technologies used in gas-solids fluidized beds under both \"cold\" and \"hot\" conditions. It combines traditional measurement techniques with recent advances in sensor technology for industrial applications, focusing on key parameters such as solids concentration, velocity, flux, temperature, and emissions. The review also discusses fluidized bed process control based on these measurements and the potential for integrating machine learning techniques. Finally, it addresses the challenges faced in large-scale fluidized beds and explores the development of measurement technologies for high-temperature and high-pressure environments.</div></div>","PeriodicalId":100897,"journal":{"name":"Measurement: Energy","volume":"4 ","pages":"Article 100030"},"PeriodicalIF":0.0000,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Measurement: Energy","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2950345024000307","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Gas-solids fluidized beds are widely used in the power and energy sectors for processes such as coal and biomass combustion, as well as gasification. However, the complex and dynamic flow behaviors within these reactors present significant challenges to improving energy efficiency and minimizing environmental impacts. Understanding the hydrodynamics and developing reliable methods to measure key process parameters are essential for optimizing performance and controlling operations. This review provides a comprehensive analysis of current measurement and sensor technologies used in gas-solids fluidized beds under both "cold" and "hot" conditions. It combines traditional measurement techniques with recent advances in sensor technology for industrial applications, focusing on key parameters such as solids concentration, velocity, flux, temperature, and emissions. The review also discusses fluidized bed process control based on these measurements and the potential for integrating machine learning techniques. Finally, it addresses the challenges faced in large-scale fluidized beds and explores the development of measurement technologies for high-temperature and high-pressure environments.
电力和能源工业中气固流化床的先进测量技术。综述*
气固流化床广泛应用于电力和能源部门的过程,如煤和生物质燃烧,以及气化。然而,这些反应器内部复杂和动态的流动行为对提高能源效率和减少环境影响提出了重大挑战。了解流体动力学和开发可靠的方法来测量关键工艺参数对于优化性能和控制操作至关重要。本文综述了目前在“冷”和“热”条件下用于气固流化床的测量和传感器技术的全面分析。它将传统测量技术与工业应用传感器技术的最新进展相结合,重点关注固体浓度、速度、通量、温度和排放等关键参数。本文还讨论了基于这些测量的流化床过程控制以及集成机器学习技术的潜力。最后,阐述了大型流化床所面临的挑战,并探讨了高温高压环境下测量技术的发展。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
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
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
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 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信