Procurement Summary
Country: Canada
Summary: Development and Implementation of a Digital Twin Solution
Deadline: 29 Jun 2026
Posting Date: 30 May 2026
Other Information
Notice Type: Tender
TOT Ref.No.: 142330461
Document Ref. No.: 26-58026
Competition: ICB
Financier: Self Financed
Purchaser Ownership: Public
Tender Value: Refer Document
Purchaser's Detail
Name: Login to see tender_details
Address: Login to see tender_details
Email: Login to see tender_details
Login to see detailsTender Details
The objective of this project is to design, develop, and implement a comprehensive Digital Twin solution for the National Research Council of Canada-s Ocean, Coastal and River Engineering (NRC OCRE) facilities, specifically the M32 Building and the Large Wave Current Flume (LWCF). The Digital Twin will create a high fidelity, data driven virtual representation of NRC OCRE-s physical assets to improve operational efficiency, reduce maintenance costs, lower energy and fuel consumption, and enhance forecasting capabilities for research and facility operations. The solution will deliver a high-fidelity digital representation of the targeted physical assets, integrating real-time and historical data from environmental sensors, physical modelling instrumentation, electrical load monitors, operational equipment status, weather feeds, and simulation outputs derived from both physics-based models (e.g., Computational Fluid Dynamics [CFD]) and AI/ML predictive models. The digital twin will support advanced analytics, physics-based modelling, and machine learning to enable predictive maintenance, scenario testing, and operational optimization. The contractor will work collaboratively with NRC-OCRE subject matter experts to define scope, use cases, and system specifications, ensuring alignment with scientific, operational, and engineering priorities. The Contractor is expected to provide the data architecture component of this project required for data storage and management infrastructu...
Reference Number : cb-490-63037206 Location Dates Publication : 2026/05/28 12:00:00 AM EDT Closing Date : 2026/06/29 02:00:00 PM EDT Contact Information : Karl Payong : [email protected] Description : The objective of this project is to design, develop, and implement a comprehensive Digital Twin solution for the National Research Council of Canada’s Ocean, Coastal and River Engineering (NRC OCRE) facilities, specifically the M32 Building and the Large Wave Current Flume (LWCF). The Digital Twin will create a high fidelity, data driven virtual representation of NRC OCRE’s physical assets to improve operational efficiency, reduce maintenance costs, lower energy and fuel consumption, and enhance forecasting capabilities for research and facility operations. The solution will deliver a high-fidelity digital representation of the targeted physical assets, integrating real-time and historical data from environmental sensors, physical modelling instrumentation, electrical load monitors, operational equipment status, weather feeds, and simulation outputs derived from both physics-based models (e.g., Computational Fluid Dynamics [CFD]) and AI/ML predictive models. The digital twin will support advanced analytics, physics-based modelling, and machine learning to enable predictive maintenance, scenario testing, and operational optimization. The contractor will work collaboratively with NRC-OCRE subject matter experts to define scope, use cases, and syste...
Documents
Tender Notice