Advanced Application for Renewable Energy Sources: Modelling, Management Control, Data Monitoring, Health Management, Design and Improvement
A special issue of Energies (ISSN 1996-1073). This special issue belongs to the section "A: Sustainable Energy".
Deadline for manuscript submissions: 31 December 2024 | Viewed by 15550
Special Issue Editors
Interests: performance analysis; monitoring; lifetime analysis; fault detection; control management; power electronics; hybrid renewable energy; mathematical modelling; optimization and meta-heuristic algorithm; computational intelligence; photovoltaic and power energy; forecasting; fuel cell; radar; radio frequency; electromagnetic and electronic
Special Issues, Collections and Topics in MDPI journals
Interests: computational intelligence; optimization; machine learning; fuzzy logic; wireless sensor networks; renewable energy; photovoltaics; wind power; forecasting
Special Issues, Collections and Topics in MDPI journals
Interests: smart cities; smart grids; microgrids; renewable energy; wind energy; photovoltaic solar energy; energy storage systems; hydrogen and fuel cells; hybrid electric systems; electric vehicles; electric power systems; power converters and energy management/control systems
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Renewable Energy Sources (RESs) are fast developing as a viable alternative to fossil fuels in the face of global economic instability, climate change, and increased energy consumption. Scientists have been discovering, developing, and modeling various RE technologies in order to improve their performance. Although some RE generators have a nonlinear characteristic in terms of power output as a function of weather conditions, studying and analyzing diverse modes have become a scientific and technological problem. A variety of characteristics must be satisfied in order to ensure the stability and security of RES-based electric power systems such as wind turbines, solar power systems, tidal turbines, and fuel cell generators. The connected RES to the electrical grid needs several operations such as optimization, fault diagnosis and digitalization of the system to be smart. The smart grids provide a high stability of the injected electrical power from RES to small grids. In this regard, modelling, forecasting, management control of hybrid systems, data acquisition, monitoring and fault diagnosis under variable weather conditions are of paramount importance. This Special Issue aims to encourage researchers and practitioners to share and exchange their original and high-quality articles (new theories, methods, techniques, and applications) focusing on innovative renewable energy system modelling, control management and monitoring, forecasting, including energy efficiency improvement and verification. Original research and review articles discussing state-of-the-art research are welcome. The submitted manuscripts for this Special Issue will be peer-reviewed before publication. Potential topics include but are not limited to the following:
- Modelling and characterization of renewable energy systems;
- Electronic component diagnosis;
- Fault-tolerant control strategies;
- Fault detection and diagnosis of renewable energy systems;
- Digitalization of renewable energy systems;
- IoT and Industry 4.0-based sensor technology;
- Sensors, data acquisition, analysis and monitoring;
- Advanced optimization and control management;
- Advanced forecasting methods;
- Control optimization and stabilization of storage systems;
- Advanced control strategies for electrical machines in renewable energy applications;
- Artificial intelligence techniques in smart grids and renewable energy systems.
Dr. Mohamed Louzazni
Prof. Dr. Marco Mussetta
Prof. Dr. Luis M. Fernández-Ramírez
Guest Editors
Manuscript Submission Information
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Keywords
- renewable energy sources
- variable conditions
- advanced applications
- modelling
- forecasting
- management control
- data monitoring
- fault diagnosis
- smart grids
- energy harvesting
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