Growing energy consumption creates costly demand peaks that can be managed by shifting usage rather than only upgrading infrastructure.
Renewable energy communities (RECs) enable members to virtually share locally generated energy, maximizing self-consumption and earning incentives.
The Sparkle platform helps renewable energy communities optimize incentives and participate in the energy flexibility market through advanced algorithms.
A live demo shows how to simulate flexibility requests, using batteries and solar panel output to meet grid demands and earn incentives.
The platform uses a Kubernetes-based microservice architecture with Java and Python services to ingest heterogeneous device data via an MQTT broker.
TimescaleDB is used as a PostgreSQL extension to handle high-volume, time-based energy data, enabling efficient writes and queries.
Multi-tenancy is enforced at the database layer using PostgreSQL's row-level security policies, isolating data for each energy community.
A GitOps workflow with Flux CD automates application deployment by reconciling the Kubernetes cluster state with configurations in a Git repository.
The project timeline covers the pilot phase, the first real-world implementation, and the planned product launch with enhanced monitoring features.
Jobs that call for the skills explored in this talk.