首页|Digital Twins for Wastewater Treatment:A Technical Review

Digital Twins for Wastewater Treatment:A Technical Review

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The digital twins concept enhances modeling and simulation through the integration of real-time data and feedback.This review elucidates the foundational elements of digital twins,covering their concept,entities,domains,and key technologies.More specifically,we investigate the transformative potential of digital twins for the wastewater treatment engineering sector.Our discussion highlights the application of digital twins to wastewater treatment plants(WWTPs)and sewage networks,hardware(i.e.,facilities and pipes,sensors for water quality and activated sludge,hydrodynamics,and power consumption),and software(i.e.,knowledge-based and data-driven models,mechanistic models,hybrid twins,control methods,and the Internet of Things).Furthermore,two cases are provided,followed by an assessment of current challenges in and perspectives on the application of digital twins in WWTPs.This review serves as an essential primer for wastewater engineers navigating the digital paradigm shift.

Digital twinsUrban water systemsWastewater treatment

Ai-Jie Wang、Hewen Li、Zhejun He、Yu Tao、Hongcheng Wang、Min Yang、Dragan Savic、Glen T.Daigger、Nanqi Ren

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School of Civil and Environmental Engineering,Harbin Institute of Technology(Shenzhen),Shenzhen 518055,China

State Key Laboratory of Urban Water Resource and Environment,Harbin Institute of Technology,Harbin 150090,China

Department of Civil and Environmental Engineering,Cornell University,Ithaca,NY 14850,USA

BIOMATH,Department of Data Analysis and Mathematical Modelling,Ghent University,Ghent 9000,Belgium

KWR Water Research Institute,Nieuwegein 3430 BB,Netherlands

Centre for Water Systems,University of Exeter,Exeter EX4 4QF,UK

Department of Civil and Environmental Engineering,University of Michigan,Ann Arbor,MI 48109,USA

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National Natural Science Foundation of ChinaNational Natural Science Foundation of ChinaNational Natural Science Foundation of ChinaShenzhen Science and Technology ProgramShenzhen Key Research ProjectTalent Recruitment Project of Guandong

523210055229344352230004KQTD20190929172630447GXWD202208171450540022021QN020106

2024

10.1016/j.eng.2024.04.012

工程(英文)

工程(英文)

CSTPCDEI
ISSN：2095-8099
年,卷(期)：2024.36(5)
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