Predicting energy consumption in desulfurization wastewater bypass evaporation systems using hybrid artificial neural networks

IF 3.7 3区 工程技术 Q2 ENGINEERING, CHEMICAL
Heng Chen , Suoqi Zheng , Lingxiao Zhan , Zhihao Li , Yurui Wang , Ning Zhao , Chen Jinbo , Linjun Yang
{"title":"Predicting energy consumption in desulfurization wastewater bypass evaporation systems using hybrid artificial neural networks","authors":"Heng Chen ,&nbsp;Suoqi Zheng ,&nbsp;Lingxiao Zhan ,&nbsp;Zhihao Li ,&nbsp;Yurui Wang ,&nbsp;Ning Zhao ,&nbsp;Chen Jinbo ,&nbsp;Linjun Yang","doi":"10.1016/j.cherd.2025.01.023","DOIUrl":null,"url":null,"abstract":"<div><div>Flue gas evaporation technology for desulfurization wastewater was a mainstream technique to achieve zero liquid discharge (ZLD). However, this technology required extracting a portion of the hot flue gas at the air preheater inlet, which reduced boiler efficiency and increased coal consumption. To accurately predict the energy consumption increase caused by flue gas extraction, this work proposed a hybrid predictive model that combines mechanistic modelling with an artificial neural network (ANN). Using operational data from a 660 MW power plant in Guangdong province as a sample, six parameters were selected as inputs to establish an energy consumption prediction model for the flue gas evaporation technology. The optimal structure of the model is 6 (Input layers) - 9 (Hidden layers) - 1 (Output layer), achieving an R<sup>2</sup> of 0.99478, with the relative prediction error fluctuating around 1 %, indicating overall good predictive performance. Furthermore, predictions were conducted for four typical operating conditions, with operational costs ranging from 18.21 to 24.5 CNY/m³ . The gas-to-liquid evaporation ratio was identified as a critical parameter affecting energy consumption. The recommended gas-to-liquid ratio range of 10,000–12,000 Nm³ /m³ could ensure complete wastewater evaporation while maintaining relatively low energy consumption. Additionally, this work reviewed two other ZLD demonstration projects, with operational costs for wastewater management around 20 CNY/m³ . The findings of this work supported the low-energy operation of flue gas evaporation technology for wastewater treatment and provided theoretical and technical guidance for ZLD processes.</div></div>","PeriodicalId":10019,"journal":{"name":"Chemical Engineering Research & Design","volume":"215 ","pages":"Pages 193-199"},"PeriodicalIF":3.7000,"publicationDate":"2025-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Chemical Engineering Research & Design","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0263876225000231","RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENGINEERING, CHEMICAL","Score":null,"Total":0}
引用次数: 0

Abstract

Flue gas evaporation technology for desulfurization wastewater was a mainstream technique to achieve zero liquid discharge (ZLD). However, this technology required extracting a portion of the hot flue gas at the air preheater inlet, which reduced boiler efficiency and increased coal consumption. To accurately predict the energy consumption increase caused by flue gas extraction, this work proposed a hybrid predictive model that combines mechanistic modelling with an artificial neural network (ANN). Using operational data from a 660 MW power plant in Guangdong province as a sample, six parameters were selected as inputs to establish an energy consumption prediction model for the flue gas evaporation technology. The optimal structure of the model is 6 (Input layers) - 9 (Hidden layers) - 1 (Output layer), achieving an R2 of 0.99478, with the relative prediction error fluctuating around 1 %, indicating overall good predictive performance. Furthermore, predictions were conducted for four typical operating conditions, with operational costs ranging from 18.21 to 24.5 CNY/m³ . The gas-to-liquid evaporation ratio was identified as a critical parameter affecting energy consumption. The recommended gas-to-liquid ratio range of 10,000–12,000 Nm³ /m³ could ensure complete wastewater evaporation while maintaining relatively low energy consumption. Additionally, this work reviewed two other ZLD demonstration projects, with operational costs for wastewater management around 20 CNY/m³ . The findings of this work supported the low-energy operation of flue gas evaporation technology for wastewater treatment and provided theoretical and technical guidance for ZLD processes.
求助全文
约1分钟内获得全文 求助全文
来源期刊
Chemical Engineering Research & Design
Chemical Engineering Research & Design 工程技术-工程:化工
CiteScore
6.10
自引率
7.70%
发文量
623
审稿时长
42 days
期刊介绍: ChERD aims to be the principal international journal for publication of high quality, original papers in chemical engineering. Papers showing how research results can be used in chemical engineering design, and accounts of experimental or theoretical research work bringing new perspectives to established principles, highlighting unsolved problems or indicating directions for future research, are particularly welcome. Contributions that deal with new developments in plant or processes and that can be given quantitative expression are encouraged. The journal is especially interested in papers that extend the boundaries of traditional chemical engineering.
×
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