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WP2 - INERTIA Distributed Multi-Agent Based Framework

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Presentation on theme: "WP2 - INERTIA Distributed Multi-Agent Based Framework"— Presentation transcript:

1 WP2 - INERTIA Distributed Multi-Agent Based Framework
T2.4- Local and Global Energy Performance Modeling ENG/HYPERTECH

2 Task 2.4 Overview T2.4- Local and Global Energy Performance Modeling
Duration: 13 Months (M6-M18) D2.3.2 Energy-related performance models for Local Building & Aggregator Hubs Report, Restricted (M18) Lead Beneficiary: ENG (8), Involved Beneficiaries: CNET (2), ALMENDE (2), TUK (2), PPC (2), ETC EL (2)

3 T2.4 General Purpose To define an Integrated Performance Model that extends current Energy Performance Models by incorporating and integrating multiple dimensions To examine the different aspects and domains that should be covered by the INERTIA Key Performance Indicators Framework To present a non – exhaustive list of fully fledged KPIs, that cover all the main aspects needed to be examined within the INERTIA project To provide the interconnection of the KPI framework with the INERTIA input parameters (data model), essential for the concrete calculation of the Performance Indicators To develop local and global performance models as part of the integrated INERTIA framework in order to represent and compute the performance of the DER (flexibility) negotiation and control operations. (Alignment with Flexibility Model)

4 T2.4 General Purpose To define an Integrated Performance Model that extends current Energy Performance Models by incorporating and integrating multiple dimensions To examine the different aspects and domains that should be covered by the INERTIA Key Performance Indicators Framework To present a non – exhaustive list of fully fledged KPIs, that cover all the main aspects needed to be examined within the INERTIA project To provide the interconnection of the KPI framework with the INERTIA input parameters (data model), essential for the concrete calculation of the Performance Indicators To develop local and global performance models as part of the integrated INERTIA framework in order to represent and compute the performance of the DER (flexibility) negotiation and control operations. (Alignment with Flexibility Model)

5 T2.4 – 2nd Version of the Deliverable
D2.3.2 Energy-related performance models for Local Building & Aggregator Hubs (Due M18) Enrichment and final selection of the INERTIA KPIs Alignment of the enriched list of KPIs with the respective components of the INERTIA System (Per component analysis) Alignment of the enriched KPIs list with the INERTIA pilot site implementation Alignment of the INERTIA KPIs approach with the eeMeasurements Methodology Alignment of the Performance Indicators framework to the INERTIA Data Model / INERTIA IAM (!!!!) ALMENDE: To provide a list of KPIs related to the Business & Flexibility domain of the Aggregator- Local Hub, when the control and optimization algorithm is over TUK: to provide the additional material needed for the alignment with the INERTIA CIM.

6 D2.3.2- Table of Contents D2.3.2 Structure of the Deliverable
INERTIA KPI Framework - Introduction INERTIA Premises Integrated KPI Framework Alignment with the INERTIA Component Analysis INERTIA KPIs Data modeling analysis Conclusions

7 INERTIA KPI Framework Analysis based on: Different Performance Domains
Energy Performance Domain Flexibility Performance Domain Business Operational Domain Comfort Performance Domain

8 INERTIA KPI Framework - Main Aspects
Analysis based on: Different INERTIA Stakeholders End Occupants Facility Manager Aggregator Distribution System Operator (D.S.O.) Different levels of granularity Temporal granularity (minutes, hours, days) Spatial granularity (MV level, LH level, zone level) Operational granularity (Price Zones, Operations, Devices) Occupants granularity (Occupant, groups of occupants)

9 T2.4 Dependencies – Required Contributions (M12-M18)
Contribution from other WPs (WP1, WP2) and involved partners WP1: Sensors, Actuators, Metering Units for the extraction of the additional metrics Alignment with Pilot Area respective Analysis WP2: INERTIA Data Model - Alignment of the INERTIA KPI framework to the INERTIA Data Model (Due M18) WP2 – Task 2.4: Integration of the INERTIA KPI Framework into the INERTIA Holistic Flexibility Model WP2 – Task 2.4: Alignment of the INERTIA KPI list with the control and optimization mechanism (Local Hub & Aggregator Hub level) of INERTIA framework. All involved partners will contribute in relation to the following : ENG : Organize the work, get feedback for the detailed KPIs needed per Component, Organize the work with TUK for the data models of KPIs, Provide the 2nd version of the deliverable (D2.3.2) CNET : Contribute on the KPIs needed for the UI of the Facility Manager ALMENDE : Provide the KPIs needed for the Local Hub and Aggregator Hub Control Operation (Energy, Flexibility & Business domain aspects should be addressed) HYPERTECH : Provide KPIs related to the VA Component, User Profiling Component PPC : Grid Related Aspects to be further examined (Grid Stakeholder of the project) ETC_EL: Aggregator Related Aspects Review of KPIs for the VA Component and the Prosumers Control and Optimization Component: In close co operation with the respective partners. Task 2.4 actually reflects the work on task 2.5

10 T2.4 Work Plan for the next period
Work in Parallel Final list of INERTIA Key Performance Indicators: Continuous fine - tuning of the work in order to extract a fully fledged approach (Done) Integration of the INERTIA Key Performance framework to the Holistic Flexibility Framework (Mid-M17) Alignment of INERTIA KPI framework with the INERTIA Data Model: Main Input Parameters needed for the calculation of the KPIs (Mid - M17) List of KPIs (& granularity) to be stored in INERTIA IAM for further evaluation (Mid - M17) Integration of the INERTIA KPI framework to the holistic INERTIA Component framework (M18) Final version of the Deliverable (M18)

11 Discussion Questions?? Thank You !!!


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