Dr. Mohamed Etarhouni is an accomplished lecturer and researcher in Electrical and Electronic Engineering π. With a PhD specializing in renewable energy systems, his innovative work on optimizing solar PV systems ποΈ has been published in top journals like IEEE and Elsevier. Boasting over 8 years of teaching experience π, he excels in integrating modern tools such as MATLAB-Simulink, Proteus, and Mobius to create engaging, hybrid learning environments. His passion for student development is evident through his commitment to inclusive education and ongoing professional growth, including a PGCert in Teaching in Higher Education π. Dr. Etarhouniβs contributions extend beyond teaching, as he actively participates in academic conferences, peer reviewing, and fostering interdisciplinary research. Recognized for his exceptional teaching and scholarly achievements π, he is a forward-thinking academic whose work bridges the gap between theory and practical solutions in the rapidly evolving field of renewable energy.
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Education π
Dr. Mohamed Etarhouni’s educational journey showcases a blend of academic excellence and practical application. He earned his PhD in Electrical and Electronic Engineering from the University of Leeds, where he focused on developing advanced techniques for maximizing power extraction from solar photovoltaic (PV) systems, particularly under partial shading conditions π. In addition, he holds an MSc in Electrical Engineering & Renewable Energy Systems with distinction from the University of Leeds, where he demonstrated outstanding performance in his field. Currently, he is further advancing his teaching expertise by pursuing a PGCert in Teaching in Higher Education at Keele University, continuing his passion for educational innovation π. His strong educational foundation enables him to deliver effective and forward-thinking teaching strategies while also contributing to research and technology development in renewable energy.
Professional Experience πΌ
Dr. Etarhouni brings over 8 years of experience in academia, having taught at respected institutions such as Liverpool John Moores University, Teesside University, and the Open University. He has designed and delivered courses in a variety of areas, including electronics, power electronics, embedded systems, and electrical circuits β‘. Dr. Etarhouni integrates cutting-edge technologies like Canvas, MATLAB-Simulink, and Mobius to enhance the learning experience for students, ensuring they acquire the practical skills needed in the rapidly evolving field of electrical engineering. His expertise is not limited to teaching; he has supervised both undergraduate and postgraduate students, guiding them through research projects that bridge theory and real-world applications. Dr. Etarhouniβs collaborative research with the University of Leeds in power electronics and renewable energy continues to fuel his passion for both education and sustainable technology π.
Research Interest π¬
Dr. Etarhouniβs primary research interest lies in optimizing renewable energy systems, specifically solar power technologies. His work on improving the performance of solar PV systems through advanced optimization techniquesβparticularly in partial shading scenariosβhas set him apart in his field. He has pioneered innovations such as Series-Parallel Differential Power Processing (SP-DPP) converters and fuzzy logic-based control systems, all designed to maximize energy extraction from solar arrays π. His research also delves into the integration of renewable energy systems with power electronics, aiming to improve overall system efficiency and reliability. His work in this area has been published in prominent journals, and he continues to explore new configurations to enhance the practicality and scalability of renewable energy solutions, contributing significantly to the global push toward sustainable energy sources π±.
Awards and Honors π
Dr. Etarhouniβs dedication to both research and teaching has earned him numerous accolades. He was awarded the Best Paper Award at the IEEE Renewable Energy Congress for his groundbreaking work on solar PV technologies, and his teaching excellence has been recognized with multiple Teaching Recognition Certificates from Liverpool John Moores University π. His contributions to higher education and research were further acknowledged when he received an Exemplar Recognition from Keele University for his innovative approaches to teaching. As a Fellow of the Higher Education Academy (FHEA), Dr. Etarhouni demonstrates a strong commitment to maintaining high teaching standards. His active role as a session chair and peer reviewer at international conferences highlights his prominent position within the academic community, and his continuous professional development reflects his dedication to furthering his expertise in both pedagogy and engineering π.
Conclusion π
Dr. Mohamed Etarhouni stands out as an academic and researcher whose work consistently bridges the gap between cutting-edge renewable energy solutions and effective teaching methodologies. His contributions to optimizing solar energy systems are setting new standards in the field of renewable energy, while his dedication to education is fostering the growth of future engineers. As a published researcher and award-winning educator, Dr. Etarhouniβs innovative approach to both teaching and research continues to influence the academic and engineering communities. With his ongoing commitment to professional development and research, Dr. Etarhouni is poised to remain a key figure in advancing sustainable energy solutions and educational excellence πβ‘.
Publications Top Notes
Authors: Mohamed Etarhouni, Hiroshan Puvanendra Moorthy, Benjamin Chong
Year: 2024
Source: Computers and Electrical Engineering
DOI: 10.1016/j.compeleceng.2024.109254
This paper discusses a novel power processing scheme π οΈ designed for small-scale photovoltaic (PV) arrays under partial shading conditions π₯οΈ, which are common in solar energy systems. The scheme aims to maximize the output power and enhance system efficiency by addressing shading effects.
β‘ Control of Cascaded PV-Δuk Converter Modules by Particle Swarm Optimization Under Partial Shading Conditions
Authors: Mohamed Etarhouni, Benjamin Chong
Year: 2023
Source: World Congress on Electrical Engineering and Computer Systems and Science
DOI: 10.11159/eee23.107
This study explores the optimization π§ of Cascaded PV-Δuk converters using particle swarm optimization π, particularly under partial shading π conditions. It introduces an innovative control strategy to improve the performance of photovoltaic systems during shaded conditions.
π A Combined Scheme for Maximising the Output Power of a Photovoltaic Array Under Partial Shading Conditions
Authors: Mohamed Etarhouni
Year: 2022
Source: Sustainable Energy Technologies and Assessments
DOI: 10.1016/j.seta.2021.101878
The article presents a combined scheme π οΈ designed to maximize output power from a photovoltaic array under partial shading π€οΈ conditions. This method enhances the power extraction capabilities of PV systems, addressing common challenges in solar energy applications.
Authors: Mohamed Etarhouni
Year: 2022
Source: Optik
DOI: 10.1016/j.ijleo.2022.168870
This paper introduces a novel square algorithm π‘ for optimizing power output from partially shaded photovoltaic systems. It aims to mitigate the effects of shading π on solar energy production, improving overall system efficiency π.
π Series-Parallel Differential Power Processing Scheme for Maximised Power Extraction from Mismatched Photovoltaic Panels
Authors: Mohamed Etarhouni
Year: 2020
Source: 10th International Conference on Power Electronics, Machines and Drives (PEMD)
This conference paper presents a series-parallel differential power processing scheme π to maximize power extraction from mismatched PV panels under varying conditions. The innovative scheme improves solar energy generation efficiency despite mismatch between panels.
π Optimal Design of Series-Parallel Differential Power Processing Converters for Photovoltaic Array Energy Systems
Authors: Mohamed Etarhouni
Year: 2020
Source: 37th European Photovoltaic Solar Energy Conference and Exhibition
This work focuses on the optimal design π οΈ of series-parallel differential power processing converters aimed at improving energy efficiency in solar power systems. The design optimizes power management in photovoltaic arrays, reducing energy loss due to shading or mismatch.
β‘ Review of PV Array Interconnection Schemes for Maximum Power Operation Under Partial Shading
Authors: Mohamed Etarhouni
Year: 2019
Source: 36th European Photovoltaic Solar Energy Conference and Exhibition
DOI: 10.4229/EUPVSEC20192019-5BO.5.6
This paper offers a comprehensive review π of various PV array interconnection schemes designed to ensure maximum power output under partial shading conditions. It evaluates techniques for overcoming common solar energy challenges related to shading and array configuration.
π
A PV Array Reconfiguration Algorithm for Minimising Partial Shading Effects
Authors: Mohamed Etarhouni
Year: 2019
Source: 2019 10th International Renewable Energy Congress (IREC)
DOI: 10.1109/irec.2019.8754602
The paper introduces a reconfiguration algorithm π for photovoltaic arrays, aimed at minimizing the effects of partial shading π¦οΈ. The algorithm focuses on optimal array configuration, boosting power extraction by reducing the impact of shading on solar panels.