Adana, Türkiye

TemsaTech Central Management System (TTCM) allows EV charging industry players to monitor and optimize the charging of electric fleets using real-time data from chargers and vehicles.

REEFLEX will step on the already validated SYNERGY H2020 (part of the BRIDGEinitiative) Reference Big Data Platform Implementation and will properly extend and configure it to effectively address distributed data management for data assets flowing from residential premises and a variety of digitalised DERs, also enabling their flexibility managements through their integration with storage systems.

VERIFY LCA/LCC modelling toolkit will serve as the basis to perform relevant environmental analysis in the selected demonstrators. It will be integrated in the REEFLEX platform, and i) will be used to assess in almost near real-time the expected benefits from the synergetic operation of multiple grid assets (e.g., BESS, V2G charging stations) in the selected demo sites, and ii) will be linked with flexibility calculation algorithms and aggregation/disaggregation algorithms, developed within REEFLEX, to support cluster participation providing both environmental and economic benefits by grouping together prosumers with same needs and characteristics.

USE platform will be reconfigured to be integrated into the REEFLEX platform and applied for the scope of this project. More specifically: a) it will be upgraded to support the inclusion of new key performance indicators to be defined for REEFLEX; b) new threshold values and weights will be assigned, oriented to integrated energy systems, better reflecting country specific challenges. Measuring and monitoring performance will be supported by two main types of indicators and indices: a) simple concrete output indicators for monitoring the progress and effectiveness of the demonstration activities (e.g., % RES penetration, energy surplus); and b) impact-oriented indicators for assessing benefits of interventions (e.g., air quality improvement level, GHG savings). This will also help selected demo districts to perform self-assessments and benchmark their performance in meeting SDGs.

REEFLEX will extend and complement the concept of SRI by adapting it to flexibility providing devices to: (i) classify these devices according to their characteristics to provide flexibility to the system; (ii) generate, populate and update in the future a commonly agreed catalogue of energy smart home appliances; (iii) develop a protocol by which every manageable element provides a basic description from a flexibility point of view; (iv) develop a flexibility classification algorithm.

REEFLEX will develop a device with modular configuration that allows the solution to be scaled to the power required for each application. Each charging system consists of 25-kW AC/DC and 12.5- kW DC/DC bidirectional modules. The DC/DC modules provides high-frequency galvanic isolation to allow a safe operation and the series connection of modules, to achieve a higher output voltage range, and its parallel connection to achieve higher charging and discharging power.

REEFLEX platform will be able to operate with service providers that optimally manage their customers' flexible resources running algorithms on the common REEFLEX cloud, on proprietary clouds or on local gateways. The project will develop, evaluate and debug a set of algorithms for optimal operation and the application of flexibility set points that can be run on the edge, on proprietary clouds or on the central REEFLEX platform.

REEFLEX platform will be in charge of the interaction with the flexibility markets. It will be based on an advanced estimation of the expected behaviour of the market, both day-ahead and reserve/ancillary services ones. The first relies on price-oriented decision, while the second must consider supplementary data sources (e.g., weather forecasts) and demand/generation predictions.