Reducing Wastewater Treatment Operational Expenditure, Carbon and Sensor Drift through Digital Innovation

Anna Whitmore, Evan Harwin, Kenneth Williamson, Anna Whitmore, Glenys Rule, Thomas Joseph
{"title":"Reducing Wastewater Treatment Operational Expenditure, Carbon and Sensor Drift through Digital Innovation","authors":"Anna Whitmore, Evan Harwin, Kenneth Williamson, Anna Whitmore, Glenys Rule, Thomas Joseph","doi":"10.2175/193864718825159228","DOIUrl":null,"url":null,"abstract":"Reducing Wastewater Treatment Operational Expenditure, Carbon and Sensor Drift through Digital InnovationAbstractWater utilities are under increasing pressure to maintain plant performance while reducing operational cost and carbon, due to population density, ageing infrastructure and climate change. Digital technology can address these challenges through the application of data science and advanced analytics. The Rosedale Wastewater Treatment Plant in Auckland, New Zealand, consists of primary, secondary, and tertiary treatment and serves a population equivalent of 240,000. After creating a digital twin to support commissioning of a fourth reactor in 2020, it was identified that the digital twin could provide new insights into operational cost and greenhouse gas and support decisionsmaking, to help Watercare achieve their objective to reduce operational greenhouse gas by 50%. Live dashboards were developed to provide new insights into operational greenhouse gas emissions and cost which leveraged real-time biological modelling and emissions monitoring data. Soft sensors were developed to improve the instrumentation data quality through early identification of sensor drift.The Rosedale Wastewater Treatment Plant in New Zealand serves a population equivalent of 240,000. It was identified that a digital twin could reduce operational cost and carbon, helping Watercare meet their 50% operational greenhouse gas reduction objective. Live dashboards provided new insights into daily emissions and cost, leveraging real-time biological modelling and emissions monitoring data. Soft sensors were developed to improve data quality through early identification of sensor drift.SpeakerWhitmore, AnnaPresentation time14:30:0014:50:00Session time13:30:0015:00:00SessionPlanning and Process Improvement Case Studies: Winning with TwinningSession locationRoom S505b - Level 5TopicAdvanced Level, Energy Production, Conservation, and Management, Municipal Wastewater Treatment Design, Nutrients, Research and InnovationTopicAdvanced Level, Energy Production, Conservation, and Management, Municipal Wastewater Treatment Design, Nutrients, Research and InnovationAuthor(s)Whitmore, AnnaAuthor(s)A. Whitmore <sup>1</sup>; E. Harwin <sup>1 </sup>; K. Williamson <sup>1</sup>; A. Whitmore <sup>1</sup>; G. Rule <sup>2</sup>; T. Joseph <sup>2</sup>;Author affiliation(s)Mott MacDonald <sup>1</sup>; Watercare Services Ltd <sup>1 </sup>; Mott MacDonald UK, Watercare Services Ltd. <sup>1</sup>; Mott MacDonald <sup>1</sup>; Mott MacDonald, Watercare Services Ltd. <sup>2</sup>; Mott MacDonald, Watercare Services Ltd. <sup>2</sup>;SourceProceedings of the Water Environment FederationDocument typeConference PaperPublisherWater Environment FederationPrint publication date Oct 2023DOI10.2175/193864718825159228Volume / Issue Content sourceWEFTECCopyright2023Word count13","PeriodicalId":498160,"journal":{"name":"Proceedings of the Water Environment Federation","volume":"176 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the Water Environment Federation","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2175/193864718825159228","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

Reducing Wastewater Treatment Operational Expenditure, Carbon and Sensor Drift through Digital InnovationAbstractWater utilities are under increasing pressure to maintain plant performance while reducing operational cost and carbon, due to population density, ageing infrastructure and climate change. Digital technology can address these challenges through the application of data science and advanced analytics. The Rosedale Wastewater Treatment Plant in Auckland, New Zealand, consists of primary, secondary, and tertiary treatment and serves a population equivalent of 240,000. After creating a digital twin to support commissioning of a fourth reactor in 2020, it was identified that the digital twin could provide new insights into operational cost and greenhouse gas and support decisionsmaking, to help Watercare achieve their objective to reduce operational greenhouse gas by 50%. Live dashboards were developed to provide new insights into operational greenhouse gas emissions and cost which leveraged real-time biological modelling and emissions monitoring data. Soft sensors were developed to improve the instrumentation data quality through early identification of sensor drift.The Rosedale Wastewater Treatment Plant in New Zealand serves a population equivalent of 240,000. It was identified that a digital twin could reduce operational cost and carbon, helping Watercare meet their 50% operational greenhouse gas reduction objective. Live dashboards provided new insights into daily emissions and cost, leveraging real-time biological modelling and emissions monitoring data. Soft sensors were developed to improve data quality through early identification of sensor drift.SpeakerWhitmore, AnnaPresentation time14:30:0014:50:00Session time13:30:0015:00:00SessionPlanning and Process Improvement Case Studies: Winning with TwinningSession locationRoom S505b - Level 5TopicAdvanced Level, Energy Production, Conservation, and Management, Municipal Wastewater Treatment Design, Nutrients, Research and InnovationTopicAdvanced Level, Energy Production, Conservation, and Management, Municipal Wastewater Treatment Design, Nutrients, Research and InnovationAuthor(s)Whitmore, AnnaAuthor(s)A. Whitmore 1; E. Harwin 1 ; K. Williamson 1; A. Whitmore 1; G. Rule 2; T. Joseph 2;Author affiliation(s)Mott MacDonald 1; Watercare Services Ltd 1 ; Mott MacDonald UK, Watercare Services Ltd. 1; Mott MacDonald 1; Mott MacDonald, Watercare Services Ltd. 2; Mott MacDonald, Watercare Services Ltd. 2;SourceProceedings of the Water Environment FederationDocument typeConference PaperPublisherWater Environment FederationPrint publication date Oct 2023DOI10.2175/193864718825159228Volume / Issue Content sourceWEFTECCopyright2023Word count13
通过数字创新减少废水处理运营支出、碳和传感器漂移
摘要由于人口密度、基础设施老化和气候变化,水务公司在保持工厂性能的同时降低运营成本和碳排放,面临着越来越大的压力。数字技术可以通过应用数据科学和高级分析来解决这些挑战。位于新西兰奥克兰的Rosedale污水处理厂由一级、二级和三级处理组成,服务于相当于24万人的人口。在创建了数字双胞胎以支持2020年第四个反应堆的调试后,确定了数字双胞胎可以提供有关运营成本和温室气体的新见解,并支持决策,以帮助Watercare实现将运营温室气体减少50%的目标。开发实时仪表板是为了利用实时生物建模和排放监测数据,为操作温室气体排放和成本提供新的见解。开发软传感器是为了通过早期识别传感器漂移来提高仪器数据质量。新西兰的罗斯代尔污水处理厂服务的人口相当于24万人。研究发现,数字孪生体可以降低运营成本和碳排放,帮助Watercare实现减少50%温室气体排放的目标。实时仪表板利用实时生物建模和排放监测数据,为日常排放和成本提供了新的见解。开发软传感器是为了通过早期识别传感器漂移来提高数据质量。演讲时间:14:30:00:14:50:00会话时间:13:30:00:15:00:00会话规划和流程改进案例研究:主题:先进水平,能源生产、节约与管理,城市污水处理设计,营养物质,研究与创新主题:先进水平,能源生产、节约与管理,城市污水处理设计,营养物质,研究与创新作者:Whitmore, AnnaAuthor(s)惠特莫尔1;E. Harwin 1;威廉森1;A. Whitmore 1;G.规则2;T. Joseph 2;作者所属莫特·麦克唐纳1;水务服务有限公司1;莫特麦克唐纳英国,水护理服务有限公司1;莫特麦克唐纳1;莫特麦克唐纳,水护理服务有限公司2;2;来源水环境联合会会议记录文献类型会议论文出版商水环境联合会打印出版日期2023年10月doi10.2175 /193864718825159228卷/期内容来源wefteccopyright 2023字数13
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 求助全文
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