The transition of WRRF models to digital twin applications

Author:

Torfs Elena12ORCID,Nicolaï Niels34ORCID,Daneshgar Saba12ORCID,Copp John B.5ORCID,Haimi Henri6,Ikumi David7ORCID,Johnson Bruce8ORCID,Plosz Benedek B.9ORCID,Snowling Spencer10ORCID,Townley Lloyd R.1112ORCID,Valverde-Pérez Borja13ORCID,Vanrolleghem Peter A.34ORCID,Vezzaro Luca13ORCID,Nopens Ingmar12ORCID

Affiliation:

1. a Biomath, Ghent University, Coupure links 653, 9000 Gent, Belgium

2. b Centre for Advanced Process Technology for Urban Resource recovery (CAPTURE), Frieda Saeysstraat 1, 9000 Gent, Belgium

3. c modelEAU, Université Laval, 1065 avenue de la Médecine, Québec G1 V 0A6, QC, Canada

4. d CentrEau, Québec Water Research Centre, 1065 avenue de la Médecine, Québec G1 V 0A6, QC, Canada

5. e Primodal, Inc., 122 Leland Street, Hamilton, Ontario L8S 3A4, Canada

6. f FCG Finnish Consulting Group Ltd, Osmontie 34, P.O. Box 950, FI-00601 Helsinki, Finland

7. g Water Research Group, Department of Civil Engineering, University of Cape Town, Rondebosch, 7700 Cape, South Africa

8. h Jacobs, 9191 Jamaica St, Englewood, CO 80112, USA

9. i Department of Chemical Engineering, University of Bath, Claverton Down, Bath, BA2 7AY, UK

10. j Hatch, Ltd, 2800 Speakman Dr, Mississauga, ON, Canada, L5 K 2R7

11. k Nanjing University Yixing Environmental Research Institute, 128 Hengtong Road, Yixing Jiangsu, 214200, China

12. l Nanjing Smart Technology Development Co. Ltd, Yanlord Landmark Building B Suite 706, Jiangxinzhou Jianye, Nanjing Jiangsu 210019, China

13. m Department of Environmental Engineering, Technical University of Denmark, Bygningstorvet, Building 115, 2800, Kongens Lyngby, Denmark

Abstract

Abstract 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.

Publisher

IWA Publishing

Subject

Water Science and Technology,Environmental Engineering

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