Paulo Branco | Photovoltaic Systems | Best Researcher Award

Prof. Dr. Paulo Branco | Photovoltaic Systems | Best Researcher Award

Professor, Instituto Superior Técnico/University of Lisbon, Portugal

Paulo José da Costa Branco is a Professor Catedrático at the Department of Electrical and Computer Engineering (DEEC) of the Instituto Superior Técnico (IST), Universidade de Lisboa (UL). His research focuses on electromagnetism, power systems, and energy efficiency.

Profile

Education

Paulo Branco holds a degree in Electrical Engineering from the Universidade Federal do Rio de Janeiro (UFRJ) (1988), a Master’s degree in Electrical Engineering from COPPE/UFRJ (1990), and a Ph.D. in Electrical and Computer Engineering from IST/UL (1998). He also obtained a Habilitation in Electrical and Computer Engineering from IST/UL (2013).

Experience

Paulo Branco has over 33 years of experience in teaching and research. He has been a Professor at IST since 1992 and has supervised several Ph.D. and Master’s theses. He has also participated in various national and international research projects.

Awards and Honors

Paulo Branco has received several awards and honors, including being ranked among the top 2% of scientists worldwide in the field of Electrical Engineering (2020 and 2021). He is also a member of the IEEE Council on Superconductivity and the IEEE Power and Energy Society.

Research Focus

Paulo Branco’s research focuses on electromagnetism, power systems, and energy efficiency. His current research interests include the application of superconducting materials, energy storage systems, and power electronics.

Publication Top Notes

1. Identifying Critical Failures in PV Systems Based on PV Inverters’ Monitoring Unit: A Techno-Economic Analysis 🌞
2. Electromechanical Analysis of HTS Cage Rotors for Induction-Synchronous Machines 🤖
3. Operational Analysis of an Axial and Solid Double-Pole Configuration in a Permanent Magnet Flux-Switching Generator 💡
4. Energy Efficiency and Stability of Micro-Hydropower PAT-SEIG Systems for DC Off-Grids 🌊
5. Energy Transition in Urban Water Infrastructures towards Sustainable Cities 🌆
6. A Distributed Equivalent-Permeability Model for the 3-D Design Optimization of Bulk Superconducting Electromechanical Systems ❄
7. Fuzzy-Based Failure Modes, Effects, and Criticality Analysis Applied to Cyber-Power Grids 💻
8. Large-Power Transformers: Time Now for Addressing Their Monitoring and Failure Investigation Techniques 🚨
9. Sensorless Switched Reluctance Machine and Speed Control: A Study to Remove the Position Encoder at High Speed of Operation 🚀
10. DISTRIBUTION TRANSFORMER WINDING FAULTS DETECTION AND MONITORING 🔍

Sid-ali Blaifi | Photovoltaic | Excellence in Research

Dr. Sid-ali Blaifi | Photovoltaic | Excellence in Research

Lecturer, University of khemis Meliana, Algeria

Sid-ali BLAIFI is a PhD holder in Electrical Engineering, specializing in the control, modeling, and monitoring of energy storage systems. He currently works at the Research Laboratory of Electrical Engineering and Automatics (LREA), University of Médéa, Algeria. His research interests encompass renewable energy, particularly photovoltaic systems, energy storage, and advanced control strategies. Sid-ali has made significant contributions to improving battery modeling, real-time monitoring systems, and optimizing energy systems with machine learning techniques. He is a prolific researcher with numerous publications in high-impact journals. His innovative approaches are highly regarded in the fields of energy storage and renewable energy technologies. 🌱⚡

Profile

Google Scolar

Education

Sid-ali BLAIFI earned his PhD in Electrical Engineering with a focus on Automatic Systems from the University of Médéa, Algeria. His doctoral research delved into advanced control strategies for energy storage systems, particularly batteries in photovoltaic applications. His Master’s project applied Fuzzy-based Direct Torque Control (DTC) to induction machines, which was experimentally validated on a TMS320F2812 DSP board. Over the years, Sid-ali has consistently improved his expertise in energy storage systems, optimization algorithms, and machine learning techniques, positioning him as an expert in the renewable energy field. 🎓📚

Experience

Sid-ali has extensive experience in energy storage and control systems, gained through both academic and research positions. He developed a robust charge controller for batteries in photovoltaic systems and contributed to the modeling of energy storage systems. He also built a real-time battery monitoring system using LabVIEW. His work on battery degradation and accelerated test procedures for photovoltaic and vehicular applications has been widely recognized. Post-PhD, Sid-ali applied machine learning to optimize control systems like Maximum Power Point Tracking (MPPT) in photovoltaic systems. His proficiency spans MATLAB/Simulink, LabVIEW, PSIM, and other tools used in energy systems research. 💼🔬

Research Focus

Sid-ali BLAIFI’s research primarily focuses on energy storage systems, particularly for renewable energy applications like photovoltaics and electric vehicles. He has worked extensively on dynamic modeling of batteries using Genetic Algorithms and Levenberg-Marquardt optimization, improving real-time battery monitoring systems. His research also integrates machine learning techniques with energy management systems, such as applying fuzzy logic and model trees for MPPT in PV systems. Additionally, he is developing microgrid control strategies using machine learning to enhance power sharing in distributed generation systems. His work is crucial in optimizing energy systems for efficiency and sustainability. 🔋🌞🤖

Publication Top Notes

  1. An enhanced dynamic model of battery using genetic algorithm suitable for photovoltaic applications 🌍🔋
  2. M5P model tree based fast fuzzy maximum power point tracker 🌞💡
  3. An enhanced dynamic modeling of PV module using Levenberg-Marquardt algorithm 🌞🔧
  4. Monitoring and enhanced dynamic modeling of battery by genetic algorithm using LabVIEW applied in photovoltaic system ⚡💻
  5. Improved model and simulation tool for dynamic SOH estimation and life prediction of Batteries used in PV systems 🔋🔍
  6. An improved dynamic battery model suitable for photovoltaic applications 🌅🔋
  7. Energy Storage and Photovoltaic Systems 🌞🔋
  8. Static and Dynamic Photovoltaic Cell/Module Parameters Identification 🌞📊
  9. Contribution to the development of a robust charge controller of a stationary battery for photovoltaic applications 🔋🔧

Frederic Hermann Emakoua | Photovoltaic Energy | Best Innovation Award

Mr Frederic Hermann Emakoua | Photovoltaic Energy | Best Innovation Award

Phd Student, UNIVERSITY OF YAOUNDE 1, Cameroon

Hermann Frédéric Emakoua is a dedicated Cameroonian researcher and PhD student at the University of Yaoundé I, specializing in electronics and renewable energy. Born and raised in Essomba, Yaoundé, he has cultivated a strong academic background, achieving multiple degrees in physics and engineering. Hermann is passionate about innovation in photovoltaic technology, particularly through the integration of advanced systems. Outside of academia, he is an accomplished athlete, with a history of success in judo and wrestling, reflecting his commitment to discipline and teamwork. His interests extend to music and tourism, showcasing his well-rounded personality. Hermann actively engages in the research community, participating in conferences to share insights and foster collaboration.

Profile

Google Scholar

Strengths for the Award

  1. Innovative Research Focus:
    • Hermann’s research on “Amplification of Very Low Input Voltages of PV Panels Using a Duffing Oscillator” addresses a critical challenge in photovoltaic technology. By exploring non-linear systems for energy amplification, his work contributes to innovative solutions in renewable energy, an area of increasing global importance.
  2. Solid Academic Foundation:
    • With a comprehensive academic background in physics and electrical engineering, Hermann possesses the theoretical knowledge necessary for pioneering research. His educational journey, culminating in his current PhD studies, demonstrates his dedication to mastering complex concepts.
  3. Practical Skills:
    • His skills in the design and production of electronic systems and electrical systems position him to implement theoretical findings into practical applications. This hands-on experience is crucial for innovation, as it bridges the gap between research and real-world solutions.
  4. Technical Proficiency:
    • Hermann’s familiarity with a variety of design and simulation software (e.g., NI MULTISIM, PROTEUS, CST) enhances his ability to develop and test innovative concepts effectively. This technical expertise is vital for creating and refining prototypes in his research.
  5. Engagement in Professional Development:
    • Participation in conferences like ACP2021 indicates his commitment to sharing his findings and learning from others in the field. This engagement fosters collaboration and further innovation through the exchange of ideas.

Areas for Improvement

  1. Enhanced Publication Output:
    • While Hermann has made a significant contribution with his publication, increasing the number of publications could enhance his visibility in the research community. Regularly sharing findings can establish him as a thought leader in his area of study.
  2. Language Skills Development:
    • Improving his English proficiency could expand his ability to access international research, communicate findings, and collaborate with a broader audience. This skill is particularly valuable in global research settings.
  3. Broader Collaboration:
    • Engaging with interdisciplinary teams could lead to new insights and approaches in his work. Collaborations with experts from different fields could enhance the innovative aspects of his research.

Education

Hermann Frédéric Emakoua’s educational journey is marked by a commitment to excellence in physics and engineering. He has been a doctoral student at the University of Yaoundé I since 2015, following a Master II in Electronics, Electrotechnics, and Automation (2013-2014) from the same institution. Prior to that, he completed his Master 1 in Physics with a focus on Electronics, Electrotechnics, and Automation in 2012-2013. Hermann also holds a Bachelor’s degree in Physics, obtained at the University of Douala in 2011-2012. His earlier education includes part-time studies in telecommunications and networks at the IUG Institute of Douala. He began his academic career with a Baccalaureate in Electricity from Lycée technique de Bafoussam. With a strong foundation in both theoretical and practical aspects of science and engineering, Hermann is well-equipped to tackle complex challenges in his research area.

Experience 

Hermann Frédéric Emakoua has accumulated diverse experiences that enhance his academic and professional profile. As a doctoral student at the University of Yaoundé I, he has engaged in research focused on photovoltaic energy systems, particularly in amplifying low input voltages using innovative approaches like the Duffing Oscillator. His training includes hands-on experiences, such as working with single-phase and three-phase generators, and instrumentation for generator sets. Additionally, he has undergone part-time training in telecommunications systems, including video surveillance and signal processing. Hermann’s practical skills are complemented by his proficiency in design and simulation software, which he applies to his research projects. His participation in the Second African Conference on Fundamental and Applied Physics in 2021 further demonstrates his commitment to advancing knowledge in his field. Hermann’s blend of theoretical knowledge and practical application positions him as a promising researcher in electronics and renewable energy.

Research Focus

Hermann Frédéric Emakoua’s research focus centers on advancing photovoltaic technology, specifically the amplification of very low input voltages using a Duffing oscillator. This innovative approach aims to enhance the efficiency of solar panels, addressing critical challenges in renewable energy utilization. Hermann’s work seeks to improve energy conversion processes, making solar energy systems more effective and accessible. By integrating principles of non-linear dynamics with practical engineering, he explores new avenues for optimizing the performance of photovoltaic panels. His interest in electrical systems design complements his research, allowing him to investigate practical applications of his findings. Hermann’s participation in conferences, such as the Second African Conference on Fundamental and Applied Physics, underscores his commitment to sharing insights and collaborating with peers in the field. Overall, his research contributes significantly to the ongoing pursuit of sustainable energy solutions, aligning with global efforts to enhance renewable energy technologies.

Publication Top Notes

  • Amplification of Very Low Input Voltages of PV Panels Using a Duffing Oscillator 🌞🔋

Conclusion

Hermann Frédéric Emakoua demonstrates strong potential as a candidate for the Best Innovation Award through his innovative approach to photovoltaic energy. His research effectively addresses key challenges in the field and reflects a commitment to practical solutions. By focusing on improving his publication record and language skills, as well as seeking interdisciplinary collaborations, he can further elevate his impact in the academic and research communities. Overall, his dedication to innovation and development in renewable energy positions him as a promising researcher worthy of recognition.