GreenCharge Project Deliverable: D2.21 Final Report for Barcelona pilot: Lessons Learned and Guidelines
Creators: name: Enrich, Regina
name: Freixas, Lluís
Publisher: name: Zenodo
Year: 2022
Subjects: eMobility
Charging management
Smart energy management
EV fleet management

description: This document presents experiences of the measures put into place in the Barcelona pilot in order to be used as lessons learned and guidelines for replicability or extension of the current demonstrators. 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. All together they include components to build measures to improve EV fleet, charging process, smart energy management and business aspects. 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. The assessment of the pilot will be done through a set of Key Performance Indicators (KPIs) previously defined. During the project, data to calculate these KPIs have been collected, processed and converted into the defined GreenCharge Open Research Data Format for further use in the KPI calculator and the simulator, and to be made publicly available for further research by the end of the project. 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. 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 amount of data collected is smaller than the initially ambitioned, but for all cases it has been possible to take at least some representative samples. The pilot has experienced big delays that have shorten the monitoring period. 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 shows potential for a smarter energy management in the demonstrators. The low usage of the charging points and the EVs will change in the near future as work in office is reestablished. The main lessons learned that should be taking into account for replicability are to define the measures involving a multidisciplinary team to have a holistic view, to build a common language among team members and users, to plan and design for interoperability among systems, to use data as the main driver for the definition of the measures and evaluation, and to include supplier’s technical support quality and supply chain in the decision-making process for acquisition of devices and services. As part of the project management, documentation is very important for handling take-overs and revisiting taken decisions, and flexibility to adapt to changes in the environment that are unavoidable is a must.