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Daneshgar S, Polesel F, Borzooei S, Sørensen HR, Peeters R, Weijers S, Nopens I, Torfs E. A full-scale operational digital twin for a water resource recovery facility-A case study of Eindhoven Water Resource Recovery Facility. Water Environ Res 2024; 96:e11016. [PMID: 38527902 DOI: 10.1002/wer.11016] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/01/2023] [Revised: 02/26/2024] [Accepted: 03/02/2024] [Indexed: 03/27/2024]
Abstract
Digital transformation for the water sector has gained momentum in recent years, and many water resource recovery facilities modelers have already started transitioning from developing traditional models to digital twin (DT) applications. DTs simulate the operation of treatment plants in near real time and provide a powerful tool to the operators and process engineers for real-time scenario analysis and calamity mitigation, online process optimization, predictive maintenance, model-based control, and so forth. So far, only a few mature examples of full-scale DT implementations can be found in the literature, which only address some of the key requirements of a DT. This paper presents the development of a full-scale operational DT for the Eindhoven water resource recovery facility in The Netherlands, which includes a fully automated data-pipeline combined with a detailed mechanistic full-plant process model and a user interface co-created with the plant's operators. The automated data preprocessing pipeline provides continuous access to validated data, an influent generator provides dynamic predictions of influent composition data and allows forecasting 48 h into the future, and an advanced compartmental model of the aeration and anoxic bioreactors ensures high predictive power. The DT runs near real-time simulations every 2 h. Visualization and interaction with the DT is facilitated by the cloud-based TwinPlant technology, which was developed in close interaction with the plant's operators. A set of predefined handles are made available, allowing users to simulate hypothetical scenarios such as process and equipment failures and changes in controller settings. The combination of the advanced data pipeline and process model development used in the Eindhoven DT and the active involvement of the operators/process engineers/managers in the development process makes the twin a valuable asset for decision making with long-term reliability. PRACTITIONER POINTS: A full-scale digital twin (DT) has been developed for the Eindhoven WRRF. The Eindhoven DT includes an automated continuous data preprocessing and reconciliation pipeline. A full-plant mechanistic compartmental process model of the plant has been developed based on hydrodynamic studies. The interactive user interface of the Eindhoven DT allows operators to perform what-if scenarios on various operational settings and process inputs. Plant operators were actively involved in the DT development process to make a reliable and relevant tool with the expected added value.
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Affiliation(s)
- Saba Daneshgar
- BIOMATH, Department of Data Analysis and Mathematical Modelling, Ghent University, Ghent, Belgium
- CAPTURE, Centre for Advanced Process Technology for Urban Resource Recovery, Ghent, Belgium
| | | | - Sina Borzooei
- BIOMATH, Department of Data Analysis and Mathematical Modelling, Ghent University, Ghent, Belgium
- CAPTURE, Centre for Advanced Process Technology for Urban Resource Recovery, Ghent, Belgium
- IVL Swedish Environmental Research Institute, Stockholm, Sweden
| | | | | | | | - Ingmar Nopens
- BIOMATH, Department of Data Analysis and Mathematical Modelling, Ghent University, Ghent, Belgium
- CAPTURE, Centre for Advanced Process Technology for Urban Resource Recovery, Ghent, Belgium
| | - Elena Torfs
- BIOMATH, Department of Data Analysis and Mathematical Modelling, Ghent University, Ghent, Belgium
- CAPTURE, Centre for Advanced Process Technology for Urban Resource Recovery, Ghent, Belgium
- Département de génie civil et de génie des eaux, Université Laval, Quebec, Canada
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Torfs E, Nicolaï N, Daneshgar S, Copp JB, Haimi H, Ikumi D, Johnson B, Plosz BB, Snowling S, Townley LR, Valverde-Pérez B, Vanrolleghem PA, Vezzaro L, Nopens I. The transition of WRRF models to digital twin applications. Water Sci Technol 2022; 85:2840-2853. [PMID: 35638791 DOI: 10.2166/wst.2022.107] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
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.
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Affiliation(s)
- Elena Torfs
- Biomath, Ghent University, Coupure links 653, 9000 Gent, Belgium E-mail: ; Centre for Advanced Process Technology for Urban Resource recovery (CAPTURE), Frieda Saeysstraat 1, 9000 Gent, Belgium
| | - Niels Nicolaï
- modelEAU, Université Laval, 1065 avenue de la Médecine, Québec G1 V 0A6, QC, Canada; CentrEau, Québec Water Research Centre, 1065 avenue de la Médecine, Québec G1 V 0A6, QC, Canada
| | - Saba Daneshgar
- Biomath, Ghent University, Coupure links 653, 9000 Gent, Belgium E-mail: ; Centre for Advanced Process Technology for Urban Resource recovery (CAPTURE), Frieda Saeysstraat 1, 9000 Gent, Belgium
| | - John B Copp
- Primodal, Inc., 122 Leland Street, Hamilton, Ontario L8S 3A4, Canada
| | - Henri Haimi
- FCG Finnish Consulting Group Ltd, Osmontie 34, P.O. Box 950, FI-00601 Helsinki, Finland
| | - David Ikumi
- Water Research Group, Department of Civil Engineering, University of Cape Town, Rondebosch, 7700 Cape, South Africa
| | | | - Benedek B Plosz
- Department of Chemical Engineering, University of Bath, Claverton Down, Bath, BA2 7AY, UK
| | | | - Lloyd R Townley
- Nanjing University Yixing Environmental Research Institute, 128 Hengtong Road, Yixing Jiangsu, 214200, China; Nanjing Smart Technology Development Co. Ltd, Yanlord Landmark Building B Suite 706, Jiangxinzhou Jianye, Nanjing Jiangsu 210019, China
| | - Borja Valverde-Pérez
- Department of Environmental Engineering, Technical University of Denmark, Bygningstorvet, Building 115, 2800, Kongens Lyngby, Denmark
| | - Peter A Vanrolleghem
- modelEAU, Université Laval, 1065 avenue de la Médecine, Québec G1 V 0A6, QC, Canada; CentrEau, Québec Water Research Centre, 1065 avenue de la Médecine, Québec G1 V 0A6, QC, Canada
| | - Luca Vezzaro
- Department of Environmental Engineering, Technical University of Denmark, Bygningstorvet, Building 115, 2800, Kongens Lyngby, Denmark
| | - Ingmar Nopens
- Biomath, Ghent University, Coupure links 653, 9000 Gent, Belgium E-mail: ; Centre for Advanced Process Technology for Urban Resource recovery (CAPTURE), Frieda Saeysstraat 1, 9000 Gent, Belgium
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Botturi A, Daneshgar S, Cordioli A, Foglia A, Eusebi AL, Fatone F. An innovative compact system for advanced treatment of combined sewer overflows (CSOs) discharged into large lakes: Pilot-scale validation. J Environ Manage 2020; 256:109937. [PMID: 31818744 DOI: 10.1016/j.jenvman.2019.109937] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/25/2019] [Revised: 11/13/2019] [Accepted: 11/26/2019] [Indexed: 06/10/2023]
Abstract
Combined sewer overflows discharging into natural water bodies could potentially contaminate them in terms of conventional wastewater parameters and coliform bacteria. When green water infrastructures are not technically feasible or practically sustainable for stormwater management, innovative compact and effective end-of-pipe systems can be of interest. This study presents long-term and real-environment validated data of a compact and rapid treatment system specifically applicable to CSOs that consists of a dynamic rotating belt filter, adsorption on granular activated carbon and UV disinfection steps. The results of treatment for Lake Garda in Italy, showed great potential for TSS, COD and E. coli removal efficiencies with more than 90%, 69% and 99% respectively. Due to the short contact time of GAC adsorption, nutrients removals were not very high. TN and TP removal of around 41% and 19% were observed respectively that suggests further specific nutrients removal processes are required for achieving higher efficiencies. The treatment system, due to its compactness and rapidness could be a great asset for water utilities in different EU catchments that are dealing with the frequent CSO events. In addition, the possibility of using different combinations of treatment steps allows the choice of different treatment scenarios depending on the treatment goals for any specific catchment.
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Affiliation(s)
- A Botturi
- Department of Biotechnology, University of Verona, 37134, Verona, Italy
| | - S Daneshgar
- Department of Biotechnology, University of Verona, 37134, Verona, Italy.
| | - A Cordioli
- Azienda Gardesana Servizi, 37019, Peschiera Del Garda, Italy
| | - A Foglia
- Department of Science and Engineering of Materials, Environment and City Planning, Polytechnic University of Marche, 60131, Ancona, Italy
| | - A L Eusebi
- Department of Science and Engineering of Materials, Environment and City Planning, Polytechnic University of Marche, 60131, Ancona, Italy.
| | - F Fatone
- Department of Science and Engineering of Materials, Environment and City Planning, Polytechnic University of Marche, 60131, Ancona, Italy
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Daneshgar S, Vanrolleghem PA, Vaneeckhaute C, Buttafava A, Capodaglio AG. Optimization of P compounds recovery from aerobic sludge by chemical modeling and response surface methodology combination. Sci Total Environ 2019; 668:668-677. [PMID: 30856575 DOI: 10.1016/j.scitotenv.2019.03.055] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/31/2018] [Revised: 03/04/2019] [Accepted: 03/04/2019] [Indexed: 06/09/2023]
Abstract
Phosphorus recovery has drawn much attention during recent years, due to estimated limited available quantities, and to the harmful environmental impact that it may have when freely released into aquatic environments. Struvite precipitation from wastewater or biological sludge is among the preferred approaches applied for phosphorus recovery, as it results in the availability of valuable fertilizer materials. This process is mostly affected by pH and presence of competitive ions in solution. Modeling and optimization of the precipitation process may help understanding the optimal conditions under which the most efficient recovery could be achieved. In this study, a combination of chemical equilibrium modeling and response surface methodology (RSM) was applied to this aim to aerobic sludge from a plant in Italy. The results identify optimum chemical parameters values for best phosphorus precipitation recovery and removal efficiencies, respectively. Identification of optimal conditions for process control is of great importance for implementing pilot scale struvite precipitation and achieve efficient phosphorus recovery.
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Affiliation(s)
- Saba Daneshgar
- Department of Civil Engineering and Architecture, University of Pavia, Pavia, Italy; modelEAU, Département de génie civil et de génie des eaux, Université Laval, Québec City, Québec, Canada
| | - Peter A Vanrolleghem
- modelEAU, Département de génie civil et de génie des eaux, Université Laval, Québec City, Québec, Canada
| | - Céline Vaneeckhaute
- modelEAU, Département de génie civil et de génie des eaux, Université Laval, Québec City, Québec, Canada; BioEngine, Research Team on Green Process Engineering and Biorefineries, Chemical Engineering Department, Université Laval, Québec City, Québec, Canada
| | | | - Andrea G Capodaglio
- Department of Civil Engineering and Architecture, University of Pavia, Pavia, Italy.
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