1. WP2 - INERTIA Distributed Multi-Agent Based Framework
T2.4- Local and Global Energy Performance Modeling
ENG - Hypertech S.A.

2. Task 2.4 Overview T2.4- Local and Global Energy Performance Modeling
Duration: 13 Months (M6-M18)
D2.3.1 Energy-related performance models for Local Building & Aggregator Hubs
Report, Restricted (M12)
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), ENELSI (2)

3. T2.4 General Objectives/General Purpose
To define an Integrated Energy 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 – Different Versions of the Deliverable
Main Issues to be clearly defined.
Two Versions of the Deliverable:
D2.3.1 Energy-related performance models for Local Building & Aggregator Hubs (Due M12)
Introduction on the KPIs framework
General methodological approach
INERTIA Key Performance Indicators Methodological Approach
List of the main INERTIA KPIs
Interconnection of KPIs framework with different INERTIA Components
D2.3.2 Energy-related performance models for Local Building & Aggregator Hubs (Due M18)
Alignment of the Performance Indicators framework to the INERTIA Data Model/ INERTI IAM (!!!!)
Enrichment and final selection of the INERTIA KPIs
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.

5. D Table of Contents
D INERTIA Key Performance Indicators – Main Steps on the Work
Introduction
Key Performance Indicators and Metrics in General
The INERTIA Performance Framework
Key Performance Indicators & Metrics in INERTIA
The INERTIA Data Collection Framework
Conclusions
1. Introduction
2. Key Performance Indicators and Metrics in General
2.1 Multi-Tier Approach
2.2 Utilizing KPIs to measure Performance
3. The INERTIA Performance Framework
3.1 The INERTIA Holistic Approach
3.2 The INERTIA Performance Domains
3.3 The INERTIA Stakeholder’s Perspective
3.4 INERTIA Measurement vs. Modeling Approach
4. Key Performance Indicators & Metrics in INERTIA
5. The INERTIA Data Collection Framework
5.1 Types Of Data To be collected
5.2 The INERTIA Sensor Cloud & Data Management Process
5.3 INERTIA negotiation and control mechanism
5.4 The INERTIA Data Model
6. Conclusions

6. INERTIA KPI Framework - Main Aspects (I)
Analysis based on:
Different Performance Domains (!!!!)
Energy Performance Domain (Physical Subsystem)
Buildings and their energy - consumption/generation equipment
Conversion Rate related parameters (CO2 emissions Rate)
Analysis based on a Baseline Scenario
Flexibility Performance Domain
Contracted/Requested/ Provided Flexibility
Candidate clients, clients enrolled, clients notified, clients responded, client declined
In order to evaluate the response and reliability of the consumer portfolio

7. INERTIA KPI Framework - Main Aspects (II)
Analysis based on:
Different Performance Domains (!!!!)
Business Operational Domain
Enterprise processes and business goals
Examine the way they impact human behavior and the cost/benefit analysis of energy usage
Facility Manager and Aggregator: Main Business Stakeholders
Comfort Performance Domain
Occupancy Related Aspects
User Preferences Related Performance Indicators
Based on the Non accepted/Neglected Control Actions

8. INERTIA KPI Framework - Main Aspects (III)
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. INERTIA KPI Framework – Work In Progress
Extraction of INERTIA Performance Indicators (Work on .xls file)
Main fields to be covered (Based on INERTIA Methodological Approach):
KPI ID: A unique ID for each KPI
KPI Name: The name of the Performance Indicator
KPI Description: A short description and the role
KPI Calculation: Reference to the mathematical Model or the INERTIA Model
KPI units: The unit of the Performance Indicator
METRICS: Different metrics, needed for the estimation of the KPI
METRIC CALCULATION BASED ON INPUT PARAMETERS: (If needed)
Metric Units: The units of the metrics
INPUT PARAMETERS: The interconnection with the INERTIA Data Model
A holistic methodological approach for the estimation of KPIs Values

10. INERTIA Detailed KPI Framework
Work on the Excel File - Presentation

11. T2.4 Dependencies – Required Contributions (M12-M18)
Contribution from other WPs (WP1, WP2) and involved partners
WP1: Requirements for the INERTIA Business Scenarios (Different Metrics Needed)
WP1: INDESIT Smart Dishwasher (Performance Indicators for the specific Device)
WP1: Sensors, Actuators, Metering Units for the extraction of the additional metrics
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 : Task Leader, Aggregator related Business Aspects to be further examined, Final Version of the Deliverable
CNET : Energy related Aspects, Business Related KPIs for the Facility Manager
ALMENDE : Flexibility related Performance Indicators, Overall review on Business Performance Aspects (Aggregator-Local Hub)
HYPERTECH : Occupant related/Comfort Performance Indicators
PPC : Grid Related Aspects to be further examined (Grid Stakeholder of the project)
ENELSI : In co-operation with ENG  extraction of Business Indicators for the Aggregator (Aggregator Stakeholder)
Task 2.4 actually reflects the work on task 2.5

12. T3.5 Work Plan for the next period
Work in Parallel
Final list of INERTIA Key Performance Indicators:
First complete version of the INERTIA Key Performance Indicators (M12) (Based on the available material)
Continuous fine-tuning of the work in order to extract a fully fledged approach (M18)
Integration of the INERTIA Key Performance framework to the Holistic Flexibility Framework (M18)
Alignment of INERTIA KPI framework with the INERTIA Data Model:
Main Input Parameters needed for the calculation of the KPIs (M15)
List of KPIs (& granularity) to be stored in INERTIA IAM for further evaluation (M15)
Integration of the INERTIA KPI framework to the holistic INERTIA Component framework (M18)

13. Discussion
Questions??
Thank You !!!