Project code: ERANET-REGSYS-AISTOR
Contract number: Ctr. 178/2020
The total value of the budget: 964.002,00 RON
The total value of the contract: 1.210.001,00 RON
The total value of the co-founding: 246.001,00 RON
The start date of the contract: 01/11/2020
The end date of the contract: 30/04/2023
Project TOTAL duration – 30 months
Coordinator: BEIA CONSULT INTERNATIONAL
Project manager (coordinator): Dr. Eng. George Suciu (george@beia.ro, 16 Peroni St., Bucharest, Romania, Tel: +40374104901, Fax: +40213323006)
Project financed by UEFISCDI through the European and International Cooperation Program
Website: http://www.beiaro.eu/aistor/
Abstract:
AISTOR will develop an innovative artificial intelligence-controlled lithium-ion-based intelligent storage system of size 2-4 KW for residential units, public and private buildings and offices for electricity cuts, especially for disaster (earthquakes, floods and fire risks) management and recovery purposes. AISTOR is an artificial intelligence energy storage and management system that provides the needed energy and management in emergencies such as a power outage, earthquake, flood and fire in houses, offices and hospitals.
Compared to existing products (e.g., Tesla Powerwall), AISTOR will be much cheaper and have a modular design, energy efficiency and remote control via embedded AI-based decision-making capabilities. AISTOR will be piloted in two disaster risky areas: public/residential buildings in Istanbul and the BEIA building in Bucharest, for a renewable energy-integrated innovative, intelligent storage system with a 30 kW roof-top solar panel already installed.
AISTOR will provide solutions to energy needs and management under all conditions, considering the power cuts and scenarios experienced in normal conditions and emergencies. AISTOR aims to provide an intelligent solution that recognizes emergencies using machine learning techniques and decides by providing efficient energy accordingly.AISTOR also aims to reduce the cost of energy usage by storing energy either through renewable energy technologies or when the energy is cheaper according to the local legislation (e.g. during night time in Turkey) and consuming when it is more expensive (daytime). It also aims to reduce the storage cost with its local design and production and BATRON-owned battery management hardware and software. AISTOR also aims to have real-time information about the efficiency and current status of the system (charge level, usage parameters and malfunction, etc.) to have better management and performance and protection by detecting and regulating energy fluctuations. One of the main objectives is to replace generators.
Phases and activities:
PHASE I – Study of intelligent storage and charging systems
Activity 1.1. Study of the intelligent management storage and charging system with the schemes of principle diagrams for the electronic circuits, correlated with the activities T1.1, T1.2, T1.3, T1.4
The aim of this activity was the detailed presentation of energy storage systems from renewable sources (photovoltaic panels) using artificial intelligence techniques. And a description of lithium-ion batteries with the main advantages and disadvantages, together with the management systems of these batteries.
Activity 1.2. Defining the technical-functional requirements of intelligent storage and charging systems, correlated with the activities T1.1, T1.2, T1.3, T1.4
Within this activity, we defined the parameters of the batteries according to their charge and discharge cycles, the conventional structures of the AC-DC and DC-DC converters, and the technical-functional requirements of the intelligent storage and charging systems.
Results:
The results of the first stage of the AISTOR project consisted of analysing the current state of the art in energy storage systems using artificial intelligence techniques and the current state of knowledge on the use of lithium-based batteries for energy storage. Moreover, we identified the technical-functional requirements of intelligent storage and charging systems at this initial stage.
- Main components of a battery energy storage system
- Main functions performed by a battery management system (BMS)
- The optimal charging methodology for the lithium-ion batteries
Dissemination activities
Events:
- Cities of Tomorrow #8, September 1st, 2020
- Smart Choices for Smart Cities Conference 2020, September 16th, 2020
- Big Data Week 2020, October 6 -8 th, 2020
PHASE II – Design of storage and loading system architecture with the development of software modules
Activity 2.1. Design of the general architecture and block diagram of the storage and loading system, correlated with the activities T2.1, T2.2, T2.3, T2.4, T2.5, T2.6, T3.1, T3.2, T3.3
This activity consists of designing the modular storage and loading system’s general architecture and block diagram by creating the block diagrams of the hardware and software modules, with the main purpose of defining and interconnecting the modules.
Activity 2.2. Design, implementation and verification of electronic circuits for the storage and charging system, correlated with the activities T4.1, T4.2, T4.3, T4.4
The purpose of this activity was to conduct a study on the current state of knowledge in the field of electronic circuits for storage and charging systems, which is necessary for choosing and determining suitable materials for electronic circuits.
Activity 2.3. Development of software modules and Artificial Intelligence elements, correlated with the activities T4.1, T4.2, T4.3, T4.4
Within this activity is realised the current state of knowledge in using artificial intelligence for battery storage and charging systems. And the conceptual architecture of the software system is defined.
Results:
The results of the second stage consisted in designing the general architecture and the block diagram of the software and hardware modules and their interconnection. The interconnection of the modules was achieved through a current study of knowledge in the field of electronic circuits for storage and charging systems, being necessary for the choice and determination of suitable materials for electronic circuits.
And the conceptual architecture of the software system is created based on the current knowledge of using artificial intelligence for battery storage and charging systems.
- The general architecture of the energy storage and management system – block diagram system
- The general data flow in the state parameter estimation process
Dissemination activities
Events:
- ZF Power Summit 2021,February 23rd,2021
- Energy Infrastructure in Cities 2021,April 20th,2021
- Cities of Tomorrow #9, September 13th-16th, 2021
- GoTechWorld 2021,November 10-11th,2021
- SCEWC 2021 (Smart City Expo World Congress),November 16-18 th,2021
Paper and presentation :
- “AI-based intelligent energy storage using Li-ion batteries”, Authors: George Suciu, Andreea Badicu, Cristian Beceanu, M.Serdar Yumlu, Yusuf Kaya, Kadir Gurkan Kizak, Fatih Tahtasakal, presented at ATEE2021 conference and published on 12th May 2021
PHASE III – Implementation of the prototype and testing of the storage and charging system
Activity 3.1 Integration of the hardware-software modules for the system and the implementation of the prototype, correlated with activities T5.1, T5.2, T5.3
In this activity, we describe the hardware and software modules needed to create the photovoltaic system together with the module’s technical characteristics. The integrated modules are the SolarEdge inverters, the power optimizers, the SolarEdge battery and the SolarEdge application for monitoring and managing the solar panels.
Activity 3.2 Performing measurements and testing the prototype, correlated with the activities T5.1, T5.2, T5.3
The photovoltaic prototype was measured and tested in this activity by transmitting the data from the SolarEdge monitoring application to the open-source Beia IoT Telemetry in Grafana through the MQTT protocol. Also, the SolarEdge monitoring application’s data is sent to the external Smart Data Systems cloud.
Activity 3.3 Industrial scale system design and evaluation of potential cooling solutions, correlated with the activities T5.1, T5.2, T5.3
Within this activity, a bibliographic study is realised regarding the design of the energy storage system in batteries and the description of specific cooling solutions of a modular battery system. This study is necessary for the design of the storage and charging system in batteries at an industrial level to determine the technical and economic impact.
Results:
The results of the third stage consisted of integrating the hardware-software modules for the SolarEdge photovoltaic system and implementing the photovoltaic system.
After integrating the modules, the measurement and testing of the SolarEdge photovoltaic system consisted of sending the data from the SolarEdge monitoring application to open-source Beia IoT Telemetry and external SmartDataSystem cloud.
In Activity 3.3 was made a bibliographic study regarding the design of the energy storage system in batteries and the description of specific cooling solutions of a modular battery system, with the scope to determine the technical and economic impact of this system.
- The general architecture of the SolarEdge photovoltaic system
- SolarEdge dashboard for monitoring and managing photovoltaic panels
- Data transmission from the SolarEdge application to the open-source Grafana
- Data transmission from the SolarEdge application to the external cloud SmartDataSystem
Dissemination activities
Events:
- Era-Net SES Peer To Peer Session of “Electrical Storage & Electric Vehicles”, June 28th,2022
- Era-Net SES Peer To Peer Session of “Electrical Storage & Electric Vehicles”, October 18-20th,2022
- GoTechWorld 2022,November 3rd-4th,2022
Paper and poster:
- “Smart grid performance enhancement”, Authors: Cristian Beceanu, Roxana Roscaneanu, Cristina Balaceanu, George Suciu presented at SIITME2022 conference
PHASE IV Performance tests and communication and dissemination activities
Activity 4.1 Performance analysis and management from distance of the storage and loading system, correlated with the activities T6.1, T6.2, T6.3,T6.4,T6.5
This activity consisted of hardware and software performance analysis along with remote management of the battery storage and charging system for the SolarEdge and Effekta PV systems.
Also is presented a comparative analysis of the technical characteristics of the hardware and software modules of the two photovoltaic systems to improve the functional characteristics of the two solutions.
Activity 4.2 Hardware and software optimizations based on the data obtained from the tests in different working modes, correlated with the activities T6.1, T6.2, T6.3, T6.4, T6.5
This activity aimed to optimize the hardware of the intelligent storage system in batteries by performing a comparative analysis between different models of photovoltaic panels and power optimizers, with the scope to choose the most reliable solution for energy production and protection in the short circuit to avoid fires. Also, software optimization of the intelligent battery storage system is realised by choosing another data transmission method in Grafana, and this solution is considered more stable and efficient.
Activity 4.3 Communication, dissemination and promotion of the AISTOR project, correlated with the activities T8.1, T8.2
Within this activity are presented the events, conferences, and fairs, as well as the scientific articles for the dissemination of the AISTOR project.
Results:
The results of the fourth stage consisted of hardware and software performance analysis of the SolarEdge and Effekta PV systems by comparing the two photovoltaic systems, with the scope to improve the functional characteristics of the two solutions.
And also to optimize the hardware of the intelligent storage system in batteries by performing a comparative analysis between different models of photovoltaic panels and power optimizers, with the scope to choose the most reliable solution, together with the software optimization of the intelligent battery storage system which is realized by selecting another data transmission method in Grafana. This solution is considered more stable and efficient.
- WatchPower application interface
- Data flow from SolarEdge application to Grafana using Node-RED
- Data transmission in the open-source Beia IoT Telemetry
- Data transmission from the SolarEdge application to the open-source Grafana
Dissemination activities
Events:
- Horizon Europe Cluster 5 ,February 16-17th,2023
- Era-Net SES “Informal Meeting” March 6th,2023
- Hannover Messe, April 17-21th,2023
Publications:
- The article “AI-based intelligent energy storage using Li-ion batteries”, Authors: George Suciu, Andreea Badicu, Cristian Beceanu, M.Serdar Yumlu, Yusuf Kaya, Kadir Gurkan Kizak, Fatih Tahtasakal, presented at ATEE2021 conference between 25-27th March 2021 and published on 12th May 2021,https://ieeexplore.ieee.org/document/9425328
- The article “Smart grid performance enhancement”, Authors: Cristian Beceanu, Roxana Roscaneanu, Cristina Balaceanu, and George Suciu presented at SIITME2022 conference between 26-29th October 2022
- Publication ISI in Journal of Applied Science 2022, Volume 12, Issue 19,9682, of the article “Design and Simulation of a Solar Tracking System for PV”, Authors: Fatima Zohra Baouche, Bilal Abderezzak, Abdennour Ladmi, Karim Arbaoui, George Suciu, Traian Candin Mihaltan, Maria Simona Raboaca, Sebastian Valeriu Hudisteanu, and Florin Emilian Turcanu, published on 27 September 2022, https://www.mdpi.com/2076-3417/12/19/9682
- Publication ISI in Journal of Energies 2023, Volume 16, Number 1, 555, of “Energy Efficient Received Signal Strength-Based Target Localization and Tracking Using Support Vector Regression”, Authors: Jahir Pasha Molla, Dharmesh Dhabliya, Satish R. Jondhale, Sivakumar Sabapathy Arumugam, Anand Singh Rajawat, S. B. Goyal, Maria Simona Raboaca, Traian Candin Mihaltan,Chaman Verma and George Suciu, published on 3 January 2023 https://www.mdpi.com/1996-1073/16/1/555