GreenCharge Project Deliverable: D2.20 Technical Monitoring Report and Feedbacks(Barcelona)
Creators: name: Enrich, Regina
name: Freixas, Lluís
name: López, Baltasar
name: León, Alberto
Publisher: name: Zenodo
Year: 2022
Subjects: eMobility
Charging management
Smart energy management
EV fleet management

description: This document presents the first outputs obtained from putting into place and running for a period the demonstrators of Barcelona pilot, with special emphasis on the process of data collecting and feedbacks received. The period included extends until end of December 2021, 2 months prior to the finalization of the project. Barcelona pilot includes 3 different demonstrators: an e-scooter sharing service (BCN.D1), a demonstrator of charging at work with smart energy management (BCN.D2) and a e-bike sharing service for commuters (BCN.D3). The measures applied to each demonstrator are slightly different, depending on the functionalities of the demonstrator, but all of them have in common the optimal and coordinated use of energy to maximize the use of renewable energy locally produced, and to minimize energy cost and CO2 emissions. The most complete demonstrator in terms of components is BCN.D3 that includes PV panels, an inverter, a stationary battery, sensors to measure energy consumption, production and storage, sensors to monitors e-bike position and its battery status and actuators to control charging process and access to the station with an app. For the evaluation of the measures in place, a set of Key Performance Indicators (KPIs) have been previously defined. To calculate these KPIs, data from the demonstrators have to be collected, processed and converted into the defined GreenCharge Open Research Data Format. There are different mechanisms in place for the collection of data, namely, manually, automatically by software applications and through surveys, questionnaires and interviews. The collection of data, especially the automatic data collection, have been cumbersome since many issues have arisen in interoperability among components and keeping the data flow continuously. Above all, the most challenging aspect has been to get the demonstration in an operative stage producing data. In fact, some of the demonstrators are not fully operative yet. The main reasons for the delays have been organizational problems within stakeholders involved that have jeopardized the communication among partners and progress on the implementation, the COVID-19 pandemic that has caused most employees to work from home, thus not accessing their workplace where the charging points are located, and complexity of the overall solution. The analysis of the data collected, mainly from BCN.D2 shows that by using a smart energy management system, the charge sessions can be planned to make use of solar energy locally produced. The duration of the charge session is much shorter than the working time, thus some hours of flexibility can be obtained, also to benefit from off-peak energy prices. The production of solar energy on-site is much lower of the energy consumed by the building but serves as a starting point to explore scalability of the PV plant and the potential number of EVs coming in the future. Additional input has been collected from stakeholders through surveys and interviews. Some of the feedbacks have been used to design the functionalities of the demonstrators. Some additional feedbacks have been used to improve the interaction of the booking app used to reserve a charging spot. The work remaining until the end of the project includes extending the data set of data collected, calculation of KPIs and formal analysis of the results and completing feedback from users and stakeholders.