SMART Green energY Systems and bUsiness Models

“Collaborative Smart Grids” (CSGs) are a promising concept built on digital technologies and economic and organizational structures, directly linked to the empowerment of consumers, the promotion of behavioural change and increased collaboration among all stakeholders. CSGs require a new vision but also innovative business models and technology developments around energy production, distribution and consumption to be successful and sustainable. The multidisciplinary and multilayer concept embedded in CSGs is essential to contribute to greener and smarter energy systems in our societies. SMARTGYsum - SMART Green energY Systems and bUsiness Models- will train 15 ESR for 36 months to enable the implementation of the Smart Energy vision, focusing on different technical and socioeconomic aspects that conform Electric Energy Systems (EESs) and CSGs, providing an excellent basis to develop their future careers in Power Electronics, Electric Engineering, Material Sciences, ICT, Data Sciences but also energy capturing of value, value chains, finance & investments, management of energy markets, economical and policy instruments, etc. As a result, there will be a network of academic and industrial partners closely collaborating following a transferable, inter and multidisciplinary approach, aimed at raising the employability and career opportunities of ESRs within the public and the private sectors, as well as their potential for conducting innovation, entrepreneurship and for impacting in the European society at medium and long-term. The project's location at the LINTE^2 Laboratory of the Gdansk University of Technology is fully in line with its potential, assumptions and concept of effective use on an international scale

Details

Project's acronym:

SMARTGYsum

Financial Program Name:

HORIZON 2020

Organization:

Komisja Europejska

Agreement:

955614 z dnia 2021-05-05

Realisation period:

2021-10-01 - 2025-09-30

Research team leader:

prof. dr hab. inż. Ryszard Strzelecki

Realised in:

Faculty of Electrical and Control Engineering

External institutions participating in project:

Christian-Albrechts-Universitaet Zu Kiel (Germany)
CY Cergy Paris Université (France)
Universitá Commerciale Luigi Bocconi (Italy)
Politechnika Warszawska (Poland)
Karlsruhe Institut für Technologie (Germany)
University of Extremadura (Spain)
Aalborg University (Germany)
Tallinn University of Technology (Estonia)
Chernihiv National Technological University (Ukraine)
Siemens Industry Software SAS France (France)
Smart Energy Products and Services (Spain)
Universitá degli Studi di Salerno (Italy)
Universidade Nova de Lisboa (Portugal)

Request type:

International Research Programmes

Domestic:

International project

Verified by:

Gdańsk University of Technology

Papers associated with that project

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total: 3

Year 2024

Advancing Solar Energy: Machine Learning Approaches for Predicting Photovoltaic Power Output
Publication
- Year 2024
This research is primarily concentrated on predicting the output of photovoitaic power, an essential field in the study of renewable energy. The paper comprehensively reviews various forecasting methodologies, transitioning from conventional physical and statistical methods to advanced machine learning (ML) techniques. A significant shift has been observed from traditional point forecasting to machine learning-based forecasting...

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Year 2023

Review and Indication of Key Activities for Energy Management Improvement in DC Microgrids
Publication
- Year 2023
DC MicroGrids (MG) must have Energy Management Systems (EMS) to guarantee efficient, dependable, and environmentally friendly electricity. The application of Model Predictive Control (MPC), proved to be helpful due to its adaptability and capacity to use non-linear models. This paper, based on an extensive literature review, identifies and discusses the three key activities to improve the characteristics of DC microgrids, i.e.:...

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Year 2022

Grid-Forming Operation of Energy-Router Based on Model Predictive Control with Improved Dynamic Performance
Publication
- M. Najafzadeh
- N. Strzelecka
- O. Husev
- I. Roasto
- K. Nassereddine
- D. Vinnikov
- R. Strzelecki
- ENERGIES - Year 2022
The focus of this study is on the grid-forming operation of the Energy Router (ER) based on Model Predictive Control (MPC). ER is regarded as a key component of microgrids. It is a converter that interfaces the microgrid (s) with the utility grid. The ER has a multiport structure and bidirectional energy flow control. The ER concept can be implemented in Nearly Zero-Energy Buildings (NZEB) to provide flexible energy control. A...

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