DIP-Fr-AD
BruceleProject Title: Digital Twin for Water Company Assets Project Code: Digital Twin A NWL MCE
Client: Northumbrian Water Group (NWG)
Acronyms:
Northumbrian Water Ltd - NWL
Introduction of Project Members
Name: Abhilash Mukherjee
Experience: 8+ years of experience in academics and site
Role: Project Manager
Name: Atif Sikandar Memon
Experience : 2 years of experience in site work
Role: Communication Lead
Name: Tejaswini Gurram
Experience: Seismic analysis graduate project
Role: Researcher
Objectives
Conducting an extensive literature review to establish feasibility and DT applicability for NWL
Drawing lessons and strategy from relevant case study to propose DT infrastructure and application in NWL
Subject
Evidence
Data
Research
Criteria
Knowledge
Conclusion
Method
Case study
Images and diagrams courtesy – creative commons and author
Objectives (contd.)
Proposing a final roadmap and implementation strategy for DT in NWL
Defining and setting out Common Data Environment (CDE) requirements
Images and diagrams courtesy – creative commons and author
Project implementation year
2.The stage of DT implementation
3.Scale of the company
Howden sewage water treatment plant scale
4.Authenticity and availability of data
Concept and planning
Stage 1
Stage 2
Final implementation
Parameters for Case Study Selection
Must be a case study for potable or waste water
Images and diagrams courtesy – creative commons and author
Selected Case Studies
Global Omnium, Valencia (Spain) [2]–[4]
North City Pure Water Facility, San Diego, California (USA) [7], [8]
Project Future City Flow – Gothenburg sewer network (Sweden) [9]
Comparative case studies on digital twin with respect to NWL
VCS (Denmark) [2]
Canal of Calais (France) [5], [6]
Organisational structure and hierarchy [1]
Potential benefits of DT in water industry [1]- [8]
Case Study Findings – Summary
Case Study Findings – Summary (contd.)
Potential challenges in DT implementation [2], [7], [9], [10]
Harsh Environment
Preventive Maintenance
Alarm
Global Unique Identifier (GUID)
Large data integrity and gaps
Dedicated Cloud server
CDE checks
Large number of data points, format and stakeholders
Organisational structure and dedicated teams
Colorful and intuitive user interface
NWL
GEGGE
GENERAL MANAGER
OPERATION TEAM
TRAINING TEAM
INFORMATION TEAM
BUSINESS ANALYST
Project Manager
Architect
Sensor Data
Collecting Team
Consultancy Team
BIM Manager
Maintenance
Maintenance Team
Inspection Team
Project coordinator
Finance Team
Team leader
Accountant
9**
Design Team
Software experts
BIM Coordinator
BIM Specialist
Organizational Structure In Detail
Images and diagrams courtesy – creative commons and author
Stakeholders Involved In The Implementation Of Digital Twin
Images and diagrams courtesy – creative commons and author
Common Data Environment
Images and diagrams courtesy – creative commons and author
Images and diagrams courtesy – creative commons and author
Detailed responsibility can be found in the attachment along with other deliverables
Sample Responsibility Matrix
Proposed Roadmap
Images and diagrams courtesy – creative commons and author
Making up a DT core team in NWL (as per recommendations)
Deciding upon the initial asset and scale of DT implementation
Gathering, categorizing and preparing the 2D drawings and data for specific asset
Two-stage open book procurement stage – cost – collaboration (as per GOV.in recommendations)
Training, Planning and designing the project details in collaboration
Establishing the proposed CDE (as per recommended stakeholder relations and CDE framework)
Acquiring the required infrastructure
Unanimous agreement and understanding of responsibility matrix (as per recommendations)
Following all the steps in responsibility matrix for rest of the steps
Recommendations
1
2
3
4
Pilot project requirements, fund, team and available data discussion
Create a separate fund and team as per the responsibility matrix
A site visit to any one of the companies who has already implemented DT
Follow all the steps in the roadmap for cost and quality efficiency
[1] P. Conejos Fuertes, F. Martínez Alzamora, M. Hervás Carot, and J. C. Alonso Campos, ‘Building and exploiting a Digital Twin for the management of drinking water distribution networks’, Urban Water Journal, vol. 17, no. 8, pp. 704–713, Sep. 2020, doi: 10.1080/1573062X.2020.1771382.
[2] A. N. Pedersen, M. Borup, A. Brink-Kjær, L. E. Christiansen, and P. S. Mikkelsen, ‘Living and Prototyping Digital Twins for Urban Water Systems: Towards Multi-Purpose Value Creation Using Models and Sensors’, Water, vol. 13, no. 5, p. 592, Feb. 2021, doi: 10.3390/w13050592.
[3] P. Conejos Fuertes, F. Martínez Alzamora, M. Hervás Carot, and J. C. Alonso Campos, ‘Building and exploiting a Digital Twin for the management of drinking water distribution networks’, Urban Water Journal, vol. 17, no. 8, pp. 704–713, Sep. 2020, doi: 10.1080/1573062X.2020.1771382.
[4] E. Universitat Politècnica de València, ‘Universitat Politècnica de València’, ing.agua, vol. 18, no. 1, p. ix, Sep. 2014, doi: 10.4995/ia.2014.3293.
[5] R. Ranjbar, E. Duviella, L. Etienne, and J.-M. Maestre, ‘Framework for a digital twin of the Canal of Calais’, Procedia Computer Science, vol. 178, pp. 27–37, 2020, doi: 10.1016/j.procs.2020.11.004.
[6] M. Callcut, J.-P. Cerceau Agliozzo, L. Varga, and L. McMillan, ‘Digital Twins in Civil Infrastructure Systems’, Sustainability, vol. 13, no. 20, p. 11549, Oct. 2021, doi: 10.3390/su132011549.
[7] J. M. Curl, T. Nading, K. Hegger, A. Barhoumi, and M. Smoczynski, ‘Digital Twins: The Next Generation of Water Treatment Technology’, J Am Water Works Assoc, vol. 111, no. 12, pp. 44–50, Dec. 2019, doi: 10.1002/awwa.1413.
[8] M. F. Mesquida, ‘Digital Twin in Water Distribution Networks’, Master’s thesis, Universitat Politècnica de Catalunya, Lisbon, 2021.
[9] B. Valverde-Pérez, ‘Operational digital twins in the urban water sector: case studies’, case studies, p. 17.
[10] J.-D. Therrien, N. Nicolaï, and P. A. Vanrolleghem, ‘A critical review of the data pipeline: how wastewater system operation flows from data to intelligence’, Water Science and Technology, vol. 82, no. 12, pp. 2613–2634, Dec. 2020, doi: 10.2166/wst.2020.393.
References
Thank you!!!
Full length research work and data available upon request, in word/pdf format. Kindly let us know at [email protected]
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