Application of a Mechanistic Erosion and Abrasion Model to Pulverized Coal (PC) Injections

L. Berg, S. Karimi, S. Shirazi
{"title":"Application of a Mechanistic Erosion and Abrasion Model to Pulverized Coal (PC) Injections","authors":"L. Berg, S. Karimi, S. Shirazi","doi":"10.1115/power2021-63620","DOIUrl":null,"url":null,"abstract":"\n Coal use for generation of electricity is used extensively world-wide accounting for 40% of total power generation. Even with reductions in use over the last 10 years, coal still accounts for 20% of total electrical generation in the United States. An often-overlooked aspect of Pulverized Coal (PC) combustion is the erosion and abrasion of the coal injection nozzles. Currently there are over 300 active PC boilers in the US and over 1000 worldwide, with each boiler having 20–40 high alloy cast injectors. Due to the high velocity of PC injection and associated elevated rates of metal loss, these nozzles require constant replacement. Replacement and costs associated with loss of revenue, required scaffolding and casting can be a significant part of Operation and Maintenance (O&M) of a PC boiler. In addition to the constant requirement for thousands of replacement injection nozzles every year, combustion performance, NOx reduction, carbon conversion and general boiler efficiency will be impacted by hardware that is out of specification, if not replaced in a “timely” manner.\n Significant research in the 1980’s [1] provided some insight into the loss-of-metal process during PC injection, but limitations of existing hardware and software prevented more than an empirical methodology to be developed. In parallel with the literature work and research specifically for PC coal erosion rates, generalized efforts were employed and reported [6–9]. Meng [4] summarized model development for solid particles transported by a liquid or gas as highly empirical with little commonality between the models developed by the various researchers. Meng also made specific recommendations for less empiricism in model development methodology.\n Although there are several state-of-the-art empirical models [6, 8 & 9] more recently, semi-mechanistic models have been developed to predict solid particle erosion (e.g. Arabnejad et al., [17]) and have been successfully applied to sand erosion and abrasion in pipelines. In the current study, this method is being applied to PC injection nozzles coupled to detailed computational fluid dynamics (CFD) simulations. The intent is to quantify nozzle material loss rates, due to impacting coal particles, as a function of geometry, local velocities, and coal properties. The method used is utilizing CFD to model flow of particles and their impingement velocity with the PC nozzles. Then erosion models that are a function of impingement speed, angle, frequency and materials properties to examine erosion rates. The insight gained from the modeling will allow improved nozzle design, increased duty life, more cost-effective supply, and elevated injection velocity. In particular, low NOx coal combustion can be critically dependent on utilization of elevated injection velocities, which previous empirical models discourage.\n This paper reports on the application of the erosion equations and methods developed at the Erosion/Corrosion Research Center of The University of Tulsa for predicting solid particle erosion of a PC injection nozzle that shows details of erosion patterns and parameters that are responsible for elevated erosion tendencies in the field. RJM-International is familiar with the nozzle from various applications that are associated with Low NOx operation. The advantages of utilizing semi-mechanistic erosion equations and models coupled with CFD simulations as compared to previous empirical methods are discussed. Shortcomings of applying the existing coal erosion model is also reported along with “next steps” required to successfully apply the method to PC injection nozzle designs for much higher combustion efficiencies than existing ones.","PeriodicalId":8567,"journal":{"name":"ASME 2021 Power Conference","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2021-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"ASME 2021 Power Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1115/power2021-63620","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

Abstract

Coal use for generation of electricity is used extensively world-wide accounting for 40% of total power generation. Even with reductions in use over the last 10 years, coal still accounts for 20% of total electrical generation in the United States. An often-overlooked aspect of Pulverized Coal (PC) combustion is the erosion and abrasion of the coal injection nozzles. Currently there are over 300 active PC boilers in the US and over 1000 worldwide, with each boiler having 20–40 high alloy cast injectors. Due to the high velocity of PC injection and associated elevated rates of metal loss, these nozzles require constant replacement. Replacement and costs associated with loss of revenue, required scaffolding and casting can be a significant part of Operation and Maintenance (O&M) of a PC boiler. In addition to the constant requirement for thousands of replacement injection nozzles every year, combustion performance, NOx reduction, carbon conversion and general boiler efficiency will be impacted by hardware that is out of specification, if not replaced in a “timely” manner. Significant research in the 1980’s [1] provided some insight into the loss-of-metal process during PC injection, but limitations of existing hardware and software prevented more than an empirical methodology to be developed. In parallel with the literature work and research specifically for PC coal erosion rates, generalized efforts were employed and reported [6–9]. Meng [4] summarized model development for solid particles transported by a liquid or gas as highly empirical with little commonality between the models developed by the various researchers. Meng also made specific recommendations for less empiricism in model development methodology. Although there are several state-of-the-art empirical models [6, 8 & 9] more recently, semi-mechanistic models have been developed to predict solid particle erosion (e.g. Arabnejad et al., [17]) and have been successfully applied to sand erosion and abrasion in pipelines. In the current study, this method is being applied to PC injection nozzles coupled to detailed computational fluid dynamics (CFD) simulations. The intent is to quantify nozzle material loss rates, due to impacting coal particles, as a function of geometry, local velocities, and coal properties. The method used is utilizing CFD to model flow of particles and their impingement velocity with the PC nozzles. Then erosion models that are a function of impingement speed, angle, frequency and materials properties to examine erosion rates. The insight gained from the modeling will allow improved nozzle design, increased duty life, more cost-effective supply, and elevated injection velocity. In particular, low NOx coal combustion can be critically dependent on utilization of elevated injection velocities, which previous empirical models discourage. This paper reports on the application of the erosion equations and methods developed at the Erosion/Corrosion Research Center of The University of Tulsa for predicting solid particle erosion of a PC injection nozzle that shows details of erosion patterns and parameters that are responsible for elevated erosion tendencies in the field. RJM-International is familiar with the nozzle from various applications that are associated with Low NOx operation. The advantages of utilizing semi-mechanistic erosion equations and models coupled with CFD simulations as compared to previous empirical methods are discussed. Shortcomings of applying the existing coal erosion model is also reported along with “next steps” required to successfully apply the method to PC injection nozzle designs for much higher combustion efficiencies than existing ones.
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
机械侵蚀磨损模型在煤粉喷注中的应用
煤炭发电在世界范围内被广泛使用,占总发电量的40%。尽管过去10年煤炭的使用量有所减少,但煤炭仍占美国总发电量的20%。煤粉燃烧的一个常被忽视的方面是喷煤喷嘴的侵蚀和磨损。目前,美国有300多台现役PC锅炉,全球有1000多台,每台锅炉有20-40个高合金铸造喷油器。由于PC注入速度快,金属损失率高,这些喷嘴需要不断更换。与收入损失相关的更换和成本,所需的脚手架和铸造可能是PC锅炉运行和维护(O&M)的重要组成部分。除了每年需要更换数千个喷嘴外,如果不“及时”更换,不符合规格的硬件将影响燃烧性能,减少NOx,碳转化和一般锅炉效率。20世纪80年代的重要研究[1]为PC注入过程中的金属损失过程提供了一些见解,但现有硬件和软件的限制阻碍了经验方法的发展。在专门针对PC煤侵蚀速率的文献工作和研究的同时,也采用并报道了广义的努力[6-9]。Meng[4]总结了液体或气体输送固体颗粒的模型开发是高度经验的,不同研究人员开发的模型之间几乎没有共同点。Meng还提出了在模型开发方法中减少经验主义的具体建议。虽然最近有几种最先进的经验模型[6,8和9],但半机械模型已经被开发用于预测固体颗粒侵蚀(例如Arabnejad等人,[17]),并已成功应用于管道中的砂石侵蚀和磨损。在目前的研究中,该方法被应用于PC注入喷嘴,并与详细的计算流体动力学(CFD)模拟相结合。目的是量化喷嘴材料损失率,由于影响煤颗粒,作为几何,局部速度和煤性质的函数。所采用的方法是利用CFD模拟颗粒的流动及其与PC喷嘴的碰撞速度。然后是由撞击速度、角度、频率和材料特性组成的侵蚀模型,以检验侵蚀速率。从建模中获得的见解将有助于改进喷嘴设计,延长使用寿命,提高成本效益,并提高喷射速度。特别是,低NOx煤燃烧可能严重依赖于提高喷射速度的利用,这是以前的经验模型所不鼓励的。本文报告了塔尔萨大学侵蚀/腐蚀研究中心开发的侵蚀方程和方法的应用,用于预测PC喷射喷嘴的固体颗粒侵蚀,显示了导致该领域侵蚀趋势升高的侵蚀模式和参数的细节。RJM-International熟悉与低氮氧化物操作相关的各种应用的喷嘴。讨论了利用半机械侵蚀方程和模型与CFD模拟相结合的方法相比以往经验方法的优点。本文还报告了应用现有煤蚀模型的缺点,以及将该方法成功应用于PC喷口设计所需的“下一步”,以获得比现有喷口高得多的燃烧效率。
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 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
An Inverse Method for Parameter Retrieval in Solar Thermal Collector With a Single Glass Cover Experimental Evaluation of Dewar Volume and Cryocooler Cold Finger Size in a Small-Scale Stirling Liquid Air Energy Storage (LAES) System Design Considerations of Solar-Driven Hydrogen Production Plants for Residential Applications Combined Cycle Gas Turbines With Electrically-Heated Thermal Energy Storage for Dispatchable Zero-Carbon Electricity Investigation of the Performance of Air-Steam Combined Cycle for Electric Power Plants Using Low Grade Solid Fuels
×
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