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Journal article

The transition of WRRF models to digital twin applications

From

Ghent University1

Water Technology & Processes, Department of Environmental and Resource Engineering, Technical University of Denmark2

Department of Environmental and Resource Engineering, Technical University of Denmark3

Université Laval4

Primodal Inc.5

FCG Finnish Consulting Group6

University of Cape Town7

Jacobs Engineering8

University of Bath9

Hatch Ltd.10

Nanjing University11

...and 1 more

Digital Twins (DTs) are on the rise as innovative, powerful technologies to harness the power of digitalisation in the WRRF sector. The lack of consensus and understanding when it comes to the definition, perceived benefits and technological needs of DTs is hampering their widespread development and application.

Transitioning from traditional WRRF modelling practice into DT applications raises a number of important questions: When is a model's predictive power acceptable for a DT? Which modelling frameworks are most suited for DT applications? Which data structures are needed to efficiently feed data to a DT? How do we keep the DT up to date and relevant? Who will be the main users of DTs and how to get them involved? How do DTs push the water sector to evolve? This paper provides an overview of the state-of-the-art, challenges, good practices, development needs and transformative capacity of DTs for WRRF applications.

Language: English
Publisher: IWA Publishing
Year: 2022
Pages: 2840-2853
ISSN: 19969732 and 02731223
Types: Journal article
DOI: 10.2166/wst.2022.107
ORCIDs: Valverde-Pérez, Borja , Vezzaro, Luca , 0000-0002-5629-6950 , 0000-0003-2794-2930 , 0000-0002-6407-1145 , 0000-0002-5080-9997 , 0000-0001-9158-2525 , 0000-0002-0012-6477 , 0000-0002-7081-7038 , 0000-0001-8037-8983 , 0000-0003-2923-628X , 0000-0003-1695-1313 and 0000-0001-6670-3700

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