Model-based determination of optimal operating parameters for different solid waste gasification

IF 5.5 Q1 ENGINEERING, CHEMICAL Chemical Engineering Journal Advances Pub Date : 2024-01-18 DOI:10.1016/j.ceja.2024.100586
Szabina Tomasek , Ágnes Bárkányi , Attila Egedy , Norbert Miskolczi
{"title":"Model-based determination of optimal operating parameters for different solid waste gasification","authors":"Szabina Tomasek ,&nbsp;Ágnes Bárkányi ,&nbsp;Attila Egedy ,&nbsp;Norbert Miskolczi","doi":"10.1016/j.ceja.2024.100586","DOIUrl":null,"url":null,"abstract":"<div><p>In this study a 2D visualization technique is presented that is suitable for determining the optimal operational parameters of solid waste gasification depending on the intended use of the product. Steam gasification of different wastes (wheat straw, wood, municipal solid waste (MSW), polyethylene (PE), green waste) was modelled in Aspen Plus simulation software, validated with literature data and a MATLAB – Aspen Plus inter software connection was also created to minimize the possibility of errors when the raw material composition and other parameters are changed. Correlation was found between the simulation and literature data; therefore, the model was also suitable for evaluating the effects of process parameters (<em>T</em> = 650–1100 °C, steam rate = 0–1.5 kg/h) on gas composition, lower heating value and H<sub>2</sub>/CO ratio. The model was also extended to a wide range of domestic waste types, making it possible to determine the optimal process parameters without performing a high number of time- and energy-intensive gasification experiments. Regarding the process parameters it was established that the temperature has a significant effect on the gasification reactions and shifts the chemical reactions towards hydrogen and carbon monoxide formation, but above 800 °C it has a limited effect on the gas composition, lower heating value and H<sub>2</sub>/CO ratio. The increasing steam rate also facilitated the hydrogen and carbon monoxide formation, but above a certain ratio its effect was opposite due to the water-gas shift reaction and the shorter residence times. The obtained gases can be used for energy purposes or as raw material for Low-Temperature Fischer-Tropsch synthesis, or production of aldehyde, higher alcohol, acetic acid or even polycarbonate for which the optimal temperatures and steam rates were also determined.</p></div>","PeriodicalId":9749,"journal":{"name":"Chemical Engineering Journal Advances","volume":null,"pages":null},"PeriodicalIF":5.5000,"publicationDate":"2024-01-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2666821124000048/pdfft?md5=86f3f9aacb0ade850c07eb59a8f4f6cc&pid=1-s2.0-S2666821124000048-main.pdf","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Chemical Engineering Journal Advances","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2666821124000048","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, CHEMICAL","Score":null,"Total":0}
引用次数: 0

Abstract

In this study a 2D visualization technique is presented that is suitable for determining the optimal operational parameters of solid waste gasification depending on the intended use of the product. Steam gasification of different wastes (wheat straw, wood, municipal solid waste (MSW), polyethylene (PE), green waste) was modelled in Aspen Plus simulation software, validated with literature data and a MATLAB – Aspen Plus inter software connection was also created to minimize the possibility of errors when the raw material composition and other parameters are changed. Correlation was found between the simulation and literature data; therefore, the model was also suitable for evaluating the effects of process parameters (T = 650–1100 °C, steam rate = 0–1.5 kg/h) on gas composition, lower heating value and H2/CO ratio. The model was also extended to a wide range of domestic waste types, making it possible to determine the optimal process parameters without performing a high number of time- and energy-intensive gasification experiments. Regarding the process parameters it was established that the temperature has a significant effect on the gasification reactions and shifts the chemical reactions towards hydrogen and carbon monoxide formation, but above 800 °C it has a limited effect on the gas composition, lower heating value and H2/CO ratio. The increasing steam rate also facilitated the hydrogen and carbon monoxide formation, but above a certain ratio its effect was opposite due to the water-gas shift reaction and the shorter residence times. The obtained gases can be used for energy purposes or as raw material for Low-Temperature Fischer-Tropsch synthesis, or production of aldehyde, higher alcohol, acetic acid or even polycarbonate for which the optimal temperatures and steam rates were also determined.

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
基于模型确定不同固体废物气化的最佳操作参数
本研究提出了一种二维可视化技术,适用于根据产品的预期用途确定固体废物气化的最佳操作参数。在 Aspen Plus 仿真软件中对不同废物(小麦秸秆、木材、城市固体废物 (MSW)、聚乙烯 (PE)、绿色废物)的蒸汽气化进行了建模,并与文献数据进行了验证,还创建了 MATLAB - Aspen Plus 软件间的连接,以最大限度地减少原料成分和其他参数发生变化时出现错误的可能性。模拟结果与文献数据之间存在相关性;因此,该模型也适用于评估工艺参数(T = 650-1100 °C,蒸汽速率 = 0-1.5 kg/h)对气体成分、低热值和 H2/CO 比率的影响。该模型还可扩展到多种生活垃圾类型,从而无需进行大量耗时耗能的气化实验就能确定最佳工艺参数。关于工艺参数,已确定温度对气化反应有显著影响,并使化学反应转向氢气和一氧化碳的形成,但在 800 °C 以上,温度对气体成分、较低的热值和 H2/CO 比率的影响有限。蒸汽速率的增加也促进了氢气和一氧化碳的形成,但超过一定比例时,由于水气转移反应和停留时间的缩短,其影响则相反。获得的气体可用于能源目的,或作为低温费托合成的原料,或生产醛、高级醇、醋酸甚至聚碳酸酯,其最佳温度和蒸汽速率也已确定。
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
Chemical Engineering Journal Advances
Chemical Engineering Journal Advances Engineering-Industrial and Manufacturing Engineering
CiteScore
8.30
自引率
0.00%
发文量
213
审稿时长
26 days
期刊最新文献
Enhanced cycling stability of silicon electrode for lithium-ion batteries by dual hydrogen bonding mediated by carboxylated carbon nanotube Microwave-assisted acid and alkali pretreatment of Napier grass for enhanced biohydrogen production and integrated biorefinery potential Innovative solar-assisted direct contact membrane distillation system: Dynamic modeling and performance analysis Enhancement of H2-water mass transfer using methyl-modified hollow mesoporous silica nanoparticles for efficient microbial CO2 reduction Enhancing photovoltaic cell design with multilayer sequential neural networks: A study on neodymium-doped ZnO nanoparticles
×
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