Challenges:
- Cross-sectoral (electricity, heat, e-mobility) operational management of energy systems at neighborhood levels
- Resilience for operational management of sustainable local energy systems
- High degree of automation needed due to price pressure (management of small energy volumes à costs for setup and operation must be low)
- Consideration and mapping of regulatory and technical complexity
Our solutions and research work
- Automated and self-learning methods of energy management (data preparation, forecasting, optimization) and integration/development of solutions
- Use of AI for automation and scaling in commissioning/initialization and operation of energy systems
- Implementation of business models and energy logistics in the liberalized energy market
- Mapping and investigation of novel business models considering energy logistics framework in the liberalized energy market
- Linking to neighborhood and smart city solutions
- Data spaces for the connection/bringing together of involved actors
How the collaboration works:
- Discovery workshop (2–3 hours): Objectives, use cases, data availability
- Data/Process Assessment: Interfaces, KPIs, Target State
- Quotation & Project Plan: Scope, Milestones, Investment
- Pilot (4–8 weeks): quick wins, quality monitoring, proof of ROI
- Rollout & Enablement: Training, Operations, Continuous Optimisation
Advanced System Technology branch AST of Fraunhofer IOSB