Assessing the Metal Recovery Value of Municipal Solid Waste Incineration Residues: Impact of Pretreatment on Fly Ash and Bottom Ash

Pengfei Li, Takayuki Shimaoka
{"title":"Assessing the Metal Recovery Value of Municipal Solid Waste Incineration Residues: Impact of Pretreatment on Fly Ash and Bottom Ash","authors":"Pengfei Li, Takayuki Shimaoka","doi":"10.4236/gep.2023.1110007","DOIUrl":null,"url":null,"abstract":"This paper focuses on evaluating the metal recovery potential of Municipal Solid Waste Incineration (MSWI) residues, with particular emphasis on the influence of pretreatment methods on MSWI fly ash and bottom ash. We assess the effectiveness of these pretreatments in enhancing the concentration of valuable metals and compare the metal content before and after treatment. Our findings reveal that water washing significantly enhances fly ash’s zinc and copper content, surpassing the minimum industrial-grade requirements. Mechanical sieving is an efficient pretreatment method for bottom ash, with the zinc concentration inversely related to particle size. Additionally, copper content peaks in the 1 - 2 mm particle size range for both bottom ash samples. These results provide valuable insights into the potential for metal recovery from MSWI residues. They hold significance for relevant research, engineering practices, and policy formulation.","PeriodicalId":15859,"journal":{"name":"Journal of Geoscience and Environment Protection","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Geoscience and Environment Protection","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.4236/gep.2023.1110007","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

This paper focuses on evaluating the metal recovery potential of Municipal Solid Waste Incineration (MSWI) residues, with particular emphasis on the influence of pretreatment methods on MSWI fly ash and bottom ash. We assess the effectiveness of these pretreatments in enhancing the concentration of valuable metals and compare the metal content before and after treatment. Our findings reveal that water washing significantly enhances fly ash’s zinc and copper content, surpassing the minimum industrial-grade requirements. Mechanical sieving is an efficient pretreatment method for bottom ash, with the zinc concentration inversely related to particle size. Additionally, copper content peaks in the 1 - 2 mm particle size range for both bottom ash samples. These results provide valuable insights into the potential for metal recovery from MSWI residues. They hold significance for relevant research, engineering practices, and policy formulation.
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
城市生活垃圾焚烧渣金属回收价值评价:预处理对飞灰和底灰的影响
本文对城市生活垃圾焚烧废渣的金属回收潜力进行了评价,重点研究了预处理方法对城市生活垃圾焚烧废渣飞灰和底灰的影响。我们评估了这些预处理在提高有价金属浓度方面的有效性,并比较了处理前后的金属含量。我们的研究结果表明,水洗显著提高了飞灰的锌和铜含量,超过了工业级的最低要求。机械筛分是一种有效的底灰预处理方法,锌浓度与粒度成反比。此外,两种底灰样品的铜含量均在1 ~ 2mm粒度范围内达到峰值。这些结果为从城市生活垃圾残渣中回收金属的潜力提供了有价值的见解。它们对相关研究、工程实践和政策制定具有重要意义。
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
Assessing the Metal Recovery Value of Municipal Solid Waste Incineration Residues: Impact of Pretreatment on Fly Ash and Bottom Ash Research on Surface Information Extraction Based on Deep Learning and Transfer Learning Research on Extraction Method of Surface Information Based on Multi-Feature Combination Such as Fractal Texture Remote Sensing Landslide Monitoring Based on Machine Learning Method Rapid Urbanization and Environment Management in Nkafu Municipality, Eastern DR Congo
×
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