We are working with stakeholders and leadership to develop digital twins for the two research campuses of a national lab whose work is essential to sustainability and resilience in our society.
Static buildings and infrastructure data were overlayed with real-time performance data from infrastructure data control and acquisition systems, utilities providers and customized energy modeling to develop a comprehensive analytical framework. The visionary consequence of the digital twin is the creation of an intelligent campus with the capability to operate as a large-scale renewable energy test bed. This enhanced capability will enable industry and government to respond faster to emerging environmental challenges and accelerate city-sized, replicable processes, systems, and products to market faster than ever before.
Using this framework, a set of interactive web-based dashboards was created to demonstrate how dynamic data, predictive analytics, simulation, and active control can be integrated to understand, respond to and plan real time energy and resource usage. This will be leveraged to inform a culture of improved operational performance, optimization of R&D assets, as well as future space and infrastructure investments. A key performance indicator is a real-time energy import/export model enabling each campus to monitor its goal of consistent operation as a net zero carbon neutral campus.
