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      • Parallel DC-AC Conversion System Based on Separate Solar Farms with MPPT Control

        Ilhami Colak,Ersan Kabalci,Gungor BAL 전력전자학회 2011 ICPE(ISPE)논문집 Vol.2011 No.5

        Three separate solar farms that provide 15 ㎾ power for each farm are modelled using Matlab Simulink real-time analysis software in this study. Each solar farm models are constituted by connecting 170W photovoltaic (PV) panels and energy conversion is performed with maximum power point tracking (MPPT) algorithms in each converter. The MPPT algorithm utilized in the control step of converters is developed using Perturb and Observe (P&O) structure. The converters used in the solar farms are designed in boost converter topology while output voltages are collected in DC busbar with parallel connection of converters. The converters are connected to busbar over interphase transformers (IPT). The DC busbar voltage is applied to a full bridge inverter to generate 3-phase AC voltages at the output of inverter. The three-phase inverter is controlled with sinusoidal pulse width modulation (SPWM) scheme, which is developed with phase shifted carrier signals. The load of inverter is set to an adjustable load, which is capable to be increased up to 50 ㎾. The measurement points seen in the Simulink design are analysed in detail. Each measurement point’s definition and screen captures are also evaluated in the study.

      • SCIESCOPUSKCI등재

        Carbon‑based materials in proton exchange membrane fuel cells: a critical review on performance and application

        Dinesh Kumar Madheswaran,Praveenkumar Thangavelu,Ram Krishna,Mohanraj Thangamuthu,Arulmozhivarman Joseph Chandran,Ilhami Colak 한국탄소학회 2023 Carbon Letters Vol.33 No.6

        Proton exchange membrane fuel cells (PEMFCs) are an auspicious energy conversion technology with the potential to address rising energy demands while reducing greenhouse gas emissions. The stack’s performance, durability, and economy scale are greatly influenced by the materials used for the PEMFC, viz., the membrane electrocatalyst assembly (MEA) and bipolar flow plates (BPPs). Despite extensive study, carbon-based materials have outstanding physicochemical, electrical, and structural attributes crucial to stack performance, making them an excellent choice for PEMFC manufacturers. Carbon materials substantially impact the cost, performance, and durability of PEMFCs since they are prevalently sought for and widely employed in the construction of BPPs and gas diffusion layers (GDLs)) and in electrocatalysts as a support material. Consequently, it is essential to assemble a review that centers on utilizing such material potential, focusing on its research development, applications, problems, and future possibilities. The prime focus of this assessment is to offer a clear understanding of the potential roles of carbon and its allotropes in PEMFC applications. Consequently, this article comprehensively evaluates the applicability, functionality, recent advancements, and ambiguous concerns associated with carbonbased materials in PEMFCs.

      • KCI등재

        Correction to: Carbon-based materials in proton exchange membrane fuel cells: a critical review on performance and application

        Madheswaran Dinesh Kumar,Thangavelu Praveenkumar,Krishna Ram,Thangamuthu Mohanraj,Joseph Chandran Arulmozhivarman,Colak Ilhami 한국탄소학회 2024 Carbon Letters Vol.34 No.3

        Proton exchange membrane fuel cells (PEMFCs) are an auspicious energy conversion technology with the potential to address rising energy demands while reducing greenhouse gas emissions. The stack’s performance, durability, and economy scale are greatly influenced by the materials used for the PEMFC, viz., the membrane electrocatalyst assembly (MEA) and bipolar flow plates (BPPs). Despite extensive study, carbon-based materials have outstanding physicochemical, electrical, and structural attributes crucial to stack performance, making them an excellent choice for PEMFC manufacturers. Carbon materials substantially impact the cost, performance, and durability of PEMFCs since they are prevalently sought for and widely employed in the construction of BPPs and gas diffusion layers (GDLs)) and in electrocatalysts as a support material. Consequently, it is essential to assemble a review that centers on utilizing such material potential, focusing on its research development, applications, problems, and future possibilities. The prime focus of this assessment is to offer a clear understanding of the potential roles of carbon and its allotropes in PEMFC applications. Consequently, this article comprehensively evaluates the applicability, functionality, recent advancements, and ambiguous concerns associated with carbon-based materials in PEMFCs.

      • KCI등재

        Energy Efficiency Improvement in Photovoltaic Installation Using a Twin-Axis Solar Tracking Mechanism with LDR Sensors Compared with Neuro-Fuzzy Adaptive Inference Structure

        Hadroug Nadji,Iratni Abdelhamid,Hafaifa Ahmed,Boudjemline Attia,Alshammari Obaid S.,Jerbi Houssem,Colak Ilhami,Chen XiaoQi 대한전기학회 2023 Journal of Electrical Engineering & Technology Vol.18 No.4

        The use of solar energy makes it possible to eliminate the problems associated with conventional energy sources such as fossil and nuclear fuels. The concerns are numerous and include the depletion of these sources and the negative environmental effects on our planet and our health. In this respect, this work focused on energy efficiency improvement in photovoltaic installations for sustainable development by proposing a new implementation idea applied to solar tracking mechanisms. It allows tracking in real-time the apparent movement of the sun and therefore exploits most of the irradiated solar energy. To monitor the photovoltaic systems in real-time, based on two techniques, to track the highest intensity of sunlight. Where, the first comprises configuring the twin-axis solar tracking mechanism using Light-Dependent-Resistor sensors in an easy-to-operate way, with printed circuit boards specific to this configuration. The second technique is based on the use of artificial intelligence concepts, such as neuro-fuzzy technology with an adaptive inference structure, without the use of Light-Dependent-Resistor sensors. This configuration allows the location of the sun to be accurately tracked throughout the year using positional solar track data (azimuth/elevation), ensuring improved efficiency with better performance using the neuro-fuzzy adaptive inference structure. Hence, this twin-axis solar tracking mechanism maximizes the efficiency energy of the examined photovoltaic installation by guaranteeing solar energy gains of up to 24.44% gain compared to a fixed system.

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