Abstract
In the context of future cities and smart campuses, sustainability is a key challenge for future developments. The Smart Metrology Campus (SMC) data infrastructure, implemented as a lambda architecture, supports the collection of both sensor data and metrological metadata for electric energy meters. A Digital Twin for energy-aware High-Performance Computing can use the data to optimize the energy usage. This paper presents two possible integrations of the SMC data with the Digital Twin: using the collector agent of the Digital Twin and the serving layer of the SMC data infrastructure, and a direct integration of the speed layer into the Digital Twin database. Both methods are evaluated based on data access latency, historic data availability, and system complexity. The integration of the SMC lambda architecture with the Digital Twin offers benefits in terms of reduced maintenance, improved data flow stability, and easier extension for additional sensors or metadata.