Demonstration results report for the Danish demo

March 10, 2026

Deliverable 9.4 represents a significant milestone for our project, showcasing the experimental results gathered from two smart electric vehicles (EV) charging demonstration sites: the DTU Risø campus in Roskilde and Campus Bornholm in Rønne on Bornholm Island. At each site, commercially available EVs were connected to chargers equipped with our innovative distributed control architecture, and extensive measurement campaigns were conducted to validate system performance under real-world conditions. Central to this deliverable is a two-layer control architecture. The local control layer, embedded directly within each charger, prioritizes charging sessions according to user’s urgency. Simultaneously, the global control layer, hosted on a cloud server, dynamically adjusts and coordinates power consumption across multiple EV parking areas. Both layers communicate via a robust network of microcontrollers and servers, ensuring seamless and low-latency exchanges of measurements and control setpoints. This integrated control architecture effectively links smart EV chargers with local renewable energy sources, specifically building-integrated photovoltaic panels and two small-scale wind turbines. Supporting these control functions is a comprehensive data logging and management system. Each charger, as well as the point of common coupling (PCC), is equipped with a smart meter that records crucial operational data—power measurements, session priorities, and command acknowledgments, and securely transmits this data to a centralized database hosted at energydata.dk. This centralized repository serves both current and future research needs. Additionally, real-time operational monitoring is enabled through dedicated dashboards accessible at evchargersrisoe.windenergy.dtu.dk and evchargersbornholm.windenergy.dtu.dk. This structured data architecture lays the groundwork for detailed performance analysis and future scalability. This document presents results from both the demonstration of charger functionalities and the analysis of key performance indicators (KPIs) regarding user charging behavior at the two demonstration sites. Initial results confirm the system’s ability to provide flexibility services without compromising individual user requirements. Specifically, functionalities such as frequency regulation, renewable energy following, power sharing, and power scheduling demonstrated high accuracy and timeliness. The findings also provided valuable insights into the constraints experienced by different EV models when subjected to certain control actions. Furthermore, data analysis reveals insights into user charging behaviors, the flexibility potential of parking areas for various flexibility services, consumption profiles, and charging costs integrating local renewable energy production. In summary, Deliverable 9.4 validates the feasibility and operational effectiveness of our distributed EV charging architecture, from control logic and data management to real-world validation, establishing a robust foundation for future deployments and ongoing system optimization.

Autores da comunidade :

• 

  H

  Hugo Gabriel Valente Morais

  ist428549

  Afiliações e fontes

  IST > DEEC

  Departamento de Engenharia Electrotécnica e de Computadores

  IST > INESC-ID

  Instituto de Engenharia de Sistemas e Computadores - Investigação e Desenvolvimento em Lisboa

10.57859/ulisboa-istinesc-id.000056

eng - Inglês

Entidade financiadora da bolsa/projeto

European Climate, Infrastructure and Environment Executive Agency

Nome da bolsa/projeto: Electric Vehicles Management for carbon neutrality in Europe

Fonte de financiamento: HORIZON EUROPE

Identificador da Entidade Financiadora: https://doi.org/10.13039/501100021050

Tipo de identificador da Entidade Financiadora: Crossref Funder

Número de bolsa/projeto: 101056765