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This Solicitation opportunity from Government of Canada was posted on June 29, 2026. The submission period has ended. Browse the details below for market research, or find similar active opportunities.

Development and Implementation of a Digital Twin Solution

Closed
26-58026International

Contract Overview

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The National Research Council of Canada is seeking a contractor to design, develop, and implement a comprehensive Digital Twin solution for its Ocean, Coastal and River Engineering facilities, specifically the M32 Building and the Large Wave Current Flume. The solution requires a high-fidelity, data-driven virtual replica integrating real-time and historical data from environmental sensors, instrumentation, electrical load monitors, weather feeds, and outputs from physics-based simulations like Computational Fluid Dynamics and AI/ML predictive models. The contractor must deliver a 2D/3D Building Information Model of the M32 Building and detailed geometry-based 3D models of the LWCF, ensuring seamless integration with NRC’s High Performance Computing systems and simulation tools including Flow3D, OpenFOAM, Aspherix, and DualSPHysics. The platform must include interactive AR/VR interfaces for training and inspection, scenario control panels for “what-if” analysis, and intuitive dashboards, all while maintaining strict compliance with Government of Canada cybersecurity standards such as ISO/IEC 27001 and the Treasury Board’s Policy on Government Security. Data must be stored and processed exclusively within Canadian jurisdiction, and all user-facing interfaces must support both English and French in alignment with the Official Languages Act. The data architecture must be secure, scalable, and interoperable with existing NRC systems, supporting acquisition, processing, harmonization, and long-term management of diverse data types including sensor outputs, simulation results, and multimedia content. The contractor is responsible for installing and calibrating all hardware, transferring ownership of all equipment to NRC upon acceptance, and providing comprehensive warranties, maintenance documentation, and configuration details. The contract is a fixed-price arrangement with a maximum value of $350,500 CAD, exclusive of applicable taxes, and will be performed from September 1, 2026, to February 28, 2027. Offers must comply with mandatory technical criteria and achieve a minimum technical score of 100 out of 145 points; proposals exceeding the price ceiling or failing any mandatory requirement are automatically disqualified. Evaluation is weighted at 80% technical merit and 20% price, with the highest combined score determining award. The contractor must maintain an accounting system allowing audit access and retain records for seven years after final payment. All deliverables must meet Government of Canada accessibility standards and be provided in English, though interfaces must support bilingual display. Submission requires separate technical, financial, and certification volumes with financial information contained solely in the

General Info

Design and implement a high-fidelity Digital Twin for NRC’s M32 Building and Wave Flume facilities.

Agency

Government of Canada → National Research Council of CanadaView Agency

NAICS

541512 - Computer Systems Design ServicesView NAICS

Place of Performance

CAN

Set-Aside

NONE

Documents

(6)

Solicitation 26-58026 Digital Twin Solution Development and Implementation

PDFrfp

Amendment 1 to RFP 26-58026 Digital Twin Solution

PDFamendment

Amendment 2 to RFP 26-58026 Digital Twin Solution Development

PDFamendment

RFP 26-58026 Development and Implementation of a Digital Twin Solution

PDFrfp

RFP 26-58026 Development and Implementation of a Digital Twin Solution

PDFrfp

RFP 26-58026 Digital Twinning Solution NRC Canada

PDFrfp

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Timeline

PhaseClosed
Posted

Solicitation

Response Deadline

Deadline has passed

Submission Closed

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Organization & Contact Information

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AgencyGovernment of Canada → National Research Council of Canada
Contacts1 person available
OfficeN/A
Organization / Agency
Government of Canada → National Research Council of Canada
View Agency Profile
Office AddressN/A
Contacts
Karl PayongPoint of Contact

Full Description

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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 infrastructure. This capability must be secure, scalable, and compliant with Government of Canada cybersecurity, data governance. The data architecture must support the acquisition, processing, harmonization, and long-term management of diverse data types — including sensor data, simulation outputs, environmental data, and multimedia content — while maintaining interoperability with NRC’s existing digital systems and infrastructure. This component must support the acquisition, processing, harmonization, and long-term management of diverse data types—sensor data, simulation outputs, environmental data, and intuitive visualization interfaces (dashboards, 2D/3D, AR/VR), while maintaining interoperability with NRC’s existing digital systems. The end result will be a sustainable, expandable digital twin platform that aligns with NRC’s long-term research, operational, and digitalization goals.

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