Periodic Reporting for period 2 - EV4EU (Electric Vehicles Management for carbon neutrality in Europe)
Reporting period: 2023-12-01 to 2025-05-31
In Europe, transport produces 23% of greenhouse gas emissions and relies on oil for 92% of its energy needs, 84% of which is imported at an annual cost of €187 billion. Road transport is shifting toward electrification, driven by regulations on fossil fuels and public demand for sustainable mobility. While EVs are central to the EU’s 2050 carbon neutrality goals, large-scale adoption is hindered by high costs, infrastructure gaps, market immaturity, and limited policy support.
The EV4EU project (June 2022 - May 2026) is developing and implementing bottom-up user-centric V2X management strategies,considering user needs, power systems, battery impact, energy markets integration and city transformation. The V2X management strategies are being tested in four pilots - Denmark, Greece, Portugal and Slovenia - allowing an evaluation of the advanced control methodologies and tools, the definition of the appropriate implementation conditions, and a consolidation of the most promising solutions and corresponding business models.
During P1 reporting period, EV4EU had successfully achieved significant milestones: i) Business Models and Use Cases for the demonstration sites, ii) development of algorithms/tools to be used by Charging Point Operators (CPOs), Virtual Power Plants (VPPs) and Distribution System Operators (DSOs) to manage flexibility services provided by V2X, iii) creation of a cost-effective V2X station prototype to be used in the PT demonstrator, iv) development of V2X management strategies to integrate V2X and Distributed Energy Resources (DER)/Renewable Energy (RES) aspects in Home Energy Management System for the PT demonstrator, and v) to integrate V2X in the optimal energy management of buildings with local generation capabilities, to be considered in both PT and DK demonstrators.
During P2 reporting period (M19-M36), 19 tasks have been completed, 20 deliverables approved and the following milestones have been achieved:
- Development of algorithms/tools to be used by VPPs enabling the participation of EVs in markets/services, currently being tested in the SL demonstrator;
- Development of V2X Management Strategies (algorithms & software tools), currently being tested in the demonstrators;
- Development of the Open V2X Management Platform, that allows information exchange between end-users, operators, and systems, guaranteing high levels of interoperability, scalability, security, and data privacy.
- Development of V2X co-simulation platform allowing an evaluation of the impact of V2X management strategies in cities, in the distribution system.
The EV4EU project (June 2022 - May 2026) is developing and implementing bottom-up user-centric V2X management strategies,considering user needs, power systems, battery impact, energy markets integration and city transformation. The V2X management strategies are being tested in four pilots - Denmark, Greece, Portugal and Slovenia - allowing an evaluation of the advanced control methodologies and tools, the definition of the appropriate implementation conditions, and a consolidation of the most promising solutions and corresponding business models.
During P1 reporting period, EV4EU had successfully achieved significant milestones: i) Business Models and Use Cases for the demonstration sites, ii) development of algorithms/tools to be used by Charging Point Operators (CPOs), Virtual Power Plants (VPPs) and Distribution System Operators (DSOs) to manage flexibility services provided by V2X, iii) creation of a cost-effective V2X station prototype to be used in the PT demonstrator, iv) development of V2X management strategies to integrate V2X and Distributed Energy Resources (DER)/Renewable Energy (RES) aspects in Home Energy Management System for the PT demonstrator, and v) to integrate V2X in the optimal energy management of buildings with local generation capabilities, to be considered in both PT and DK demonstrators.
During P2 reporting period (M19-M36), 19 tasks have been completed, 20 deliverables approved and the following milestones have been achieved:
- Development of algorithms/tools to be used by VPPs enabling the participation of EVs in markets/services, currently being tested in the SL demonstrator;
- Development of V2X Management Strategies (algorithms & software tools), currently being tested in the demonstrators;
- Development of the Open V2X Management Platform, that allows information exchange between end-users, operators, and systems, guaranteing high levels of interoperability, scalability, security, and data privacy.
- Development of V2X co-simulation platform allowing an evaluation of the impact of V2X management strategies in cities, in the distribution system.
During the scond periodic report:
WP1 evaluated the battery degradation and the associated costs under different V2X scenarios (D1.8).
WP2 developed several V2X management strategies: for parking lots with RES (D2.3) fleet management in SMEs (D2.4) energy community management (D2.5) and electrified road freight and passenger transportation management (D2.6).
WP3 developed a co-simulation platform tool to study the effect of emissions-free transportation in the power system (D3.4). This platform was used to assess the optimal location and sizing of EV supply equipment in cities with different characteristics (D3.5).
WP4 developed new energy management algorithms to be used by VPPs and CPOs(D4.3) defined services focusing on EV participation in flexibility markets at the local and regional levels (D4.4) and developed several innovative Demand Response (DR) programs centred on V2X end-users (Price based DR) and fleet operators and aggregators (Incentive-based DR) for three countries: GR, PT and SL (D4.5).
WP5 developed the Open V2X management platform with the release of the source code and high-level overview of the platform´s backend (D5.5). The integration and the interoperability of the platform was tested and the graphical user interface and frontend, developed (D5.6).
The DEMO activities in Portugal (WP6), Slovenia (WP7), Greece (WP8) and Denmark (WP9), have been ongoing, focusing on the engagement activities, installation and commissioning, operation and monitoring, O-V2X-MP algorithm validation and validation of flexibility algorithms.
WP1 evaluated the battery degradation and the associated costs under different V2X scenarios (D1.8).
WP2 developed several V2X management strategies: for parking lots with RES (D2.3) fleet management in SMEs (D2.4) energy community management (D2.5) and electrified road freight and passenger transportation management (D2.6).
WP3 developed a co-simulation platform tool to study the effect of emissions-free transportation in the power system (D3.4). This platform was used to assess the optimal location and sizing of EV supply equipment in cities with different characteristics (D3.5).
WP4 developed new energy management algorithms to be used by VPPs and CPOs(D4.3) defined services focusing on EV participation in flexibility markets at the local and regional levels (D4.4) and developed several innovative Demand Response (DR) programs centred on V2X end-users (Price based DR) and fleet operators and aggregators (Incentive-based DR) for three countries: GR, PT and SL (D4.5).
WP5 developed the Open V2X management platform with the release of the source code and high-level overview of the platform´s backend (D5.5). The integration and the interoperability of the platform was tested and the graphical user interface and frontend, developed (D5.6).
The DEMO activities in Portugal (WP6), Slovenia (WP7), Greece (WP8) and Denmark (WP9), have been ongoing, focusing on the engagement activities, installation and commissioning, operation and monitoring, O-V2X-MP algorithm validation and validation of flexibility algorithms.
During the scond periodic report:
1)V2X management strategues in houses and buildings, parking lots, EVs fleets by small companies, energy communities and big companies. Those are being implemented in the co-simulation tool and DEMO activities.
2) Co-simulation platform tool, that allows to study the effect of emissions-free transportation in the power system, and capture and understand spatio-temporal effects and the interactions between residential, work, and public charging infrastructure. This platform was used to simulate the V2X management strategies developed in WP2, allowing to test the mass deployment of EVs in Urban, industrial and rural areas, identifying the best locations and the number of rated power of the EV sypply equipment at the city level.
3) Open V2X management platform (O-V2X-MP) that allows information exchange between end-users, operators, and systems, guaranteing high levels of interoperability, scalability, security, and data privacy.
4) Control Architecture which included monitoring, energy management and real-time control with optimization and forecasting algorithms, to reduce car charging costs, prioritizing the use of PV and grid energy during low-tariff periods, being tested in the PT demonstrator.
5) V2XFLEX Tool -Simulation tool for flexibility -simulation of the energy grid and EV traffic and participation in flex services
6) KPI demonstrator tool -this tool allows data collection, data preparation, KPI calculation and analysis and KPI results visualization. This toll llows the development of common KPS beyond demonstrator.
7) PyECOM - Python Energy Communities, is a tool designed to facilitate the research into Energy Communities (EC) through the ability to create, simulate and test various EC settings. Implementations of base aspects of EC functioning are implemented and provide a flexible basis for the integration of new components.
8) Assessment of battery degradation cost considering the participation in V2X services based on initial Use Cases, having in consideration the following services: wind curtailment, frequency regulation, local and flexibility markets, dynamic capacity contracts, and implicit and explicit demand response.
1)V2X management strategues in houses and buildings, parking lots, EVs fleets by small companies, energy communities and big companies. Those are being implemented in the co-simulation tool and DEMO activities.
2) Co-simulation platform tool, that allows to study the effect of emissions-free transportation in the power system, and capture and understand spatio-temporal effects and the interactions between residential, work, and public charging infrastructure. This platform was used to simulate the V2X management strategies developed in WP2, allowing to test the mass deployment of EVs in Urban, industrial and rural areas, identifying the best locations and the number of rated power of the EV sypply equipment at the city level.
3) Open V2X management platform (O-V2X-MP) that allows information exchange between end-users, operators, and systems, guaranteing high levels of interoperability, scalability, security, and data privacy.
4) Control Architecture which included monitoring, energy management and real-time control with optimization and forecasting algorithms, to reduce car charging costs, prioritizing the use of PV and grid energy during low-tariff periods, being tested in the PT demonstrator.
5) V2XFLEX Tool -Simulation tool for flexibility -simulation of the energy grid and EV traffic and participation in flex services
6) KPI demonstrator tool -this tool allows data collection, data preparation, KPI calculation and analysis and KPI results visualization. This toll llows the development of common KPS beyond demonstrator.
7) PyECOM - Python Energy Communities, is a tool designed to facilitate the research into Energy Communities (EC) through the ability to create, simulate and test various EC settings. Implementations of base aspects of EC functioning are implemented and provide a flexible basis for the integration of new components.
8) Assessment of battery degradation cost considering the participation in V2X services based on initial Use Cases, having in consideration the following services: wind curtailment, frequency regulation, local and flexibility markets, dynamic capacity contracts, and implicit and explicit demand response.