Digital Twin Solution Development and Implementation Service

The National Research Council of Canada is seeking a vendor to provide digital twin solution development and implementation services. The agency is trying to solve operational inefficiencies, high maintenance costs, excessive energy and fuel consumption, and limited forecasting capabilities for its research and facility operations. The project requires creating a high-fidelity, data-driven virtual representation of targeted physical assets by integrating real-time and historical data from environmental sensors, physical modeling instrumentation, electrical load monitors, operational equipment status, weather feeds, and simulation outputs. The scope of work covers translating user requirements into system specifications to support real-world experimentation and research priorities. The selected vendor must document critical workflows, scientific, operational, and engineering use cases, and expected benefits, while also developing data stewardship policies, classification, and retention schedules. The final solution must optimize energy and resource usage, reduce maintenance costs through predictive analytics and scenario testing, and enhance forecasting capabilities for research and operational planning. Eligibility is restricted to onshore Canadian organizations only. The agency requires the performance of the work to be conducted offsite. The agency is currently looking for proposals to determine the budget, and no specific evaluation criteria or key dates are provided in the sourcing details.