基于经验数据的VOCs排放过程控制策略

Yu-qing Wang, Jia‐Wei Wang, Zi-Ang Zhu, Chao-Fan Zhou, Yiqun Kou, Jing Sun, Zheng-Wei Mei, Zimu Li, Peng Wu, Donghu Wang, Sifei Zhang, Wen-Li Zhang
{"title":"基于经验数据的VOCs排放过程控制策略","authors":"Yu-qing Wang, Jia‐Wei Wang, Zi-Ang Zhu, Chao-Fan Zhou, Yiqun Kou, Jing Sun, Zheng-Wei Mei, Zimu Li, Peng Wu, Donghu Wang, Sifei Zhang, Wen-Li Zhang","doi":"10.1109/ICMRA.2018.8490540","DOIUrl":null,"url":null,"abstract":"As for the industrial area, the control of VOCs emission has attracted a lot of attentions of researchers for several decades. Appropriate control strategies are fundamental tools to restrain the emission of VOCs. Based on empirical data extracted from the complete set of sources, control strategies for reducing VOCs emission process are proposed in this paper, which are obtained by performing numerical analyses. Empirical data are applied into the proof of theoretical results. Complete sources including industrial source, traffic source, living source and agricultural source are considered. The impacts of output value of general equipment in the industrial source, passenger throughput in traffic source, the size of population in living source and agricultural source on VOCs emissions are discussed. Additionally, control strategies for VOCs emissions are summarized by analyzing extremum of characteristic values obtained from sample sets. Finally, the features of various VOCs emission sources are concluded to guide the adjustment of treatment process, especially the treatment equipment of VOCs.","PeriodicalId":190744,"journal":{"name":"2018 IEEE International Conference on Mechatronics, Robotics and Automation (ICMRA)","volume":"99 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-05-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Control Strategies for Reducing VOCs Emission Process Based on Empirical Data\",\"authors\":\"Yu-qing Wang, Jia‐Wei Wang, Zi-Ang Zhu, Chao-Fan Zhou, Yiqun Kou, Jing Sun, Zheng-Wei Mei, Zimu Li, Peng Wu, Donghu Wang, Sifei Zhang, Wen-Li Zhang\",\"doi\":\"10.1109/ICMRA.2018.8490540\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"As for the industrial area, the control of VOCs emission has attracted a lot of attentions of researchers for several decades. Appropriate control strategies are fundamental tools to restrain the emission of VOCs. Based on empirical data extracted from the complete set of sources, control strategies for reducing VOCs emission process are proposed in this paper, which are obtained by performing numerical analyses. Empirical data are applied into the proof of theoretical results. Complete sources including industrial source, traffic source, living source and agricultural source are considered. The impacts of output value of general equipment in the industrial source, passenger throughput in traffic source, the size of population in living source and agricultural source on VOCs emissions are discussed. Additionally, control strategies for VOCs emissions are summarized by analyzing extremum of characteristic values obtained from sample sets. Finally, the features of various VOCs emission sources are concluded to guide the adjustment of treatment process, especially the treatment equipment of VOCs.\",\"PeriodicalId\":190744,\"journal\":{\"name\":\"2018 IEEE International Conference on Mechatronics, Robotics and Automation (ICMRA)\",\"volume\":\"99 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-05-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 IEEE International Conference on Mechatronics, Robotics and Automation (ICMRA)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICMRA.2018.8490540\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 IEEE International Conference on Mechatronics, Robotics and Automation (ICMRA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICMRA.2018.8490540","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

在工业领域,VOCs排放的控制已经引起了研究者们几十年的关注。适当的控制策略是抑制VOCs排放的根本手段。本文基于从完整源中提取的经验数据,提出了降低VOCs排放过程的控制策略,并通过数值分析得出了控制策略。应用经验数据对理论结果进行验证。完整源包括工业源、交通源、生活源和农业源。讨论了工业源通用设备产值、交通源旅客吞吐量、生活源人口规模和农业源对VOCs排放的影响。此外,通过分析样本集特征值的极值,总结了VOCs排放的控制策略。最后,总结了各类VOCs排放源的特点,以指导治理工艺特别是VOCs治理设备的调整。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Control Strategies for Reducing VOCs Emission Process Based on Empirical Data
As for the industrial area, the control of VOCs emission has attracted a lot of attentions of researchers for several decades. Appropriate control strategies are fundamental tools to restrain the emission of VOCs. Based on empirical data extracted from the complete set of sources, control strategies for reducing VOCs emission process are proposed in this paper, which are obtained by performing numerical analyses. Empirical data are applied into the proof of theoretical results. Complete sources including industrial source, traffic source, living source and agricultural source are considered. The impacts of output value of general equipment in the industrial source, passenger throughput in traffic source, the size of population in living source and agricultural source on VOCs emissions are discussed. Additionally, control strategies for VOCs emissions are summarized by analyzing extremum of characteristic values obtained from sample sets. Finally, the features of various VOCs emission sources are concluded to guide the adjustment of treatment process, especially the treatment equipment of VOCs.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
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