Periodic Reporting for period 1 - HARMONISE (Hierarchical and Agile Resource Management Optimization for Networks in Smart Energy Communities)
Período documentado: 2024-06-01 hasta 2025-05-31
Pathway to impact. The project follows a clear trajectory from foundations to real-world validation and scaling. In WP1, stakeholder requirements, regulatory analysis, use-cases, KPIs (40) and a modular system architecture were completed, creating a shared baseline for development and evaluation. WPs 2–3 translate this into technology: a common information model and context repository, secure edge devices, an interoperability/aggregation platform, AI toolboxes and a stakeholder interaction app. WPs 4–5 prepare and execute pilot deployments, collect baseline and operational data, and assess technical, economic, environmental and social impacts against the KPI framework.
Scale and significance. By validating HARMONISE across five pilots and engaging a broad ecosystem of users and operators, the project is expected to provide robust evidence on renewable integration, grid flexibility, energy/cost performance, user engagement and replicability. The demonstrations target iterative feedback from ~1,700 users, creating a strong basis for wider adoption and market entry of PED services aligned with EU climate and digital agendas.
Delivered: consolidated stakeholder/user needs and regulatory baseline; 40 KPIs; pilot-mapped use cases; and a layered, service-oriented architecture adopting SAREF/SAREF4CITY/SAREF4ENER. D1.1–D1.5 submitted; Requirements/Specifications/Architecture milestone achieved. These outputs anchor all technical work and evaluation.
WP2 — Interoperability platform (On-going).
Scoped the common information model (SAREF/NGSI-LD), gathered pilot data/control needs and FSIID instrumentation, drafted aggregation interfaces & hierarchical topics, designed a zero-trust identity/access gateway, defined security/privacy architecture, and specified smart-contract data/interaction models. Outcome: consolidated baseline + integration plan for secure data/control/flexibility services.
WP3 — Intelligent services (On-going).
Set up data pipelines and SoA review; defined hybrid probabilistic + deep-learning forecasting; started asset-level RL/multi-objective control and network-level multi-vector/portfolio services; prepared user-centric engagement/gamification; initiated DIM and PED design/expansion toolbox. Outcome: algorithms/models drafted, ready for integration and testing next period.
WP4 — Pilot & stakeholder preparations (On-going).
Advanced stakeholder engagement plans, pilot-specific setup roadmaps, and baseline data strategies feeding WP2/WP3; began business-model co-creation (technical requirements/constraints only).
WP6 — Management & communication enablers (Finished).
D6.2 (M6): public website live, visual identity, and project social channels (X/LinkedIn/Facebook/Instagram) with initial audience targeting. D6.3 (M12): dissemination/communication operating model—governance, editorial calendar, publication workflows, and KPIs (web traffic, social engagement, event presence)—to synchronise technical updates with external touchpoints.
HARMONISE has specified and begun implementing a layered architecture that links device-level intelligence with district-level coordination and market participation. The stack formalises semantic interoperability using the SAREF family (SAREF4CITY/SAREF4ENER) and NGSI-LD context brokering.
2) Fog-enabled secure interoperable devices (FSIIDs).
At the field layer, the project is designing asset- and district-level FSIIDs that compute flexibility near the assets, reduce latency and data exposure, and provide secure bidirectional control.
3) Zero-trust security and smart-contract governance.
HARMONISE introduces a zero-trust, identity-centric security layer (JWT-based authN/authZ, key management) coupled with blockchain smart contracts to enable verifiable, auditable flexibility services.
4) AI forecasting and decision toolboxes for assets and networks.
The service layer is being set up to combine hybrid probabilistic and deep-learning forecasting with reinforcement learning and multi-objective control for optimal asset/network operation.
5) Human-centric interaction and SSH integration.
A stakeholder interaction platform with personalisation and gamification is being prepared to convert technical capability into user action.
6) Comparable evidence via a shared KPI framework.
A harmonised set of 40 KPIs (technical, economic, environmental, social) was defined to evaluate pilots and enable cross-site comparison and aggregation, an essential step to move beyond one-off demonstrations and produce policy-relevant evidence.