The SESLab is a testbed to develop and test Smart Energy Systems (SES), a coordinated combination of distributed renewable generators, responsive loads, power processors, energy storage systems, information and communication systems, and hierarchical controllers based on advanced computational techniques. The SESLab is integrated into a modern university campus, where classrooms, labs, offices, and other facilities (library, cafeterias, restaurants, gym, EV chargers, …) are used by a living university community and fully monitored through a widely distributed SCADA system, which is accessible and interactive with the SESLab. Moreover, an on-roof PV plant (70 kWp) and other energy facilities can be accessed and controlled from the SESLab, where storage systems, active loads, and intelligent controllers interact with the gird according to the living university community needs.
Intelligent operation and control of smart energy systems (SES)
Modelling and analysis of SES
Flexibility and grid support services
Networked controllers, IoT and cloud-computing
Energy storage and power processing technology
The SESlab allows testing.
- Performance of cloud-based operation and control architectures
- AI-based models for managing and exploiting SES
- Integration of REN, ESS and active demand into SES
- Interaction with systems operators and decentralized energy markets (blockchain)
- Stability and reliability of distributed SES in front of contingences
Real PV generation, EV chargers and manageable loads
Controllable assets (PV, BESS, grid emulators, grid-forming converters, and loads)
Real-time simulation with strong HIL
Networked controllers, IoT, cloud-computing
AI and HPC
Get in touch with our contact point via email (email@example.com) or phone (+34 955 641 600 – Extension: 2409).
The SESlab services are free of charge for partners in collaborative projects.
The SESlab services can be also subcontracted in projects. In such a case, pricing is defined individually based on the requested contribution.
The SESlab offers experimental validation and demonstration of SES, data management services and modelling and analysis services.