Journal article
The transition of WRRF models to digital twin applications
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 moreDigital 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 |
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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 |