Digital Twin Framework Development for the Power Generation Industry
A client in the power generation sector recognized that digital twin technologies were being developed inconsistently across their organization, leading to duplicated efforts and challenges in deploying these tools effectively. Without a standardized approach, teams struggled to leverage real-world operational data, create adaptable models, and integrate emerging technologies like AI and machine learning into their workflows.
Turbine Logic was engaged to develop a comprehensive framework for digital twin creation and deployment. The work involved conducting stakeholder discussions to understand existing modeling approaches and their limitations, then synthesizing these findings into actionable guidance. The engagement also included developing specifications for a software infrastructure that would support standardized digital twin development across the organization.
The project delivered a set of written guidelines covering best practices for data collection, preprocessing, modeling, analysis, visualization, and ongoing maintenance of digital twins. Additionally, Turbine Logic produced a software specification and implementation roadmap that could serve as the foundation for future development efforts, enabling the client to move toward a unified platform for their digital twin initiatives.
If your organization is looking to establish consistent processes for digital twin development, reduce duplication of effort across teams, or create a roadmap for integrating AI/ML capabilities into your modeling workflows, Turbine Logic can help. Contact us to discuss how we can support your digital transformation initiatives.
