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Dr. Davut ÖZHAN
Artuklu Üniv.

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Research Keywords & Expertise

0 inteligencia artificial
0 Deep and Machine Learning
0 Piezoelecticity and piezoelectric systems
0 Power & energy
0 Machanical design

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Short Biography

Dr. Davut ÖZHAN took his M. Sc. degree from the Inst. Science, Gazi University in Ankara, Turkey in 2005. He worked as a lecturer at Hacettepe University Vocational School of Technical Sciences between 2007-2009. He completed his Ph. D. degree in 2019 on the design and implementation of a new piezoelectric wind energy harvester. He was assigned to the position of Assist. Prof. at vocational school, Mardin Artuklu University. His main research areas include electrical/electronic circuits, mechanical vibrations, piezoelectric, power electronics, artificial intelligence, and deep learning.

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Journal article
Published: 09 July 2021 in Sustainability
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In this work, a maximum power point tracking (MPPT) system for its application to a new piezoelectric wind energy harvester (PWEH) has been designed and implemented. The motivation for such MPPT unit comes from the power scales of the piezoelectric layers being in the order of μW. In addition, the output generates highly disturbed voltage waveforms with high total harmonic distortion (THD), thereby high THD values cause a certain power loss at the output of the PWEH system and an intense motivation is given to design and implement the system. The proposed MPPT system is widely used for many different harvesting studies, however, in this paper it has been used at the first time for such a distorted waveform to our best knowledge. The MPPT consists of a rectifier unit storing the rectified energy into a capacitor with a certain voltage called VOC (i.e., the open circuit voltage of the harvester), then a dc-dc converter is used with the help of the MPPT unit using the half of VOC as the critical value for the performance of the control. It has been demonstrated that the power loss is nearly half of the power for the MPPT-free system, the efficiency has been increased with a rate of 98% and power consumption is measured as low as 5.29 μW.

ACS Style

Erol Kurt; Davut Özhan; Nicu Bizon; Jose Lopez-Guede. Design and Implementation of a Maximum Power Point Tracking System for a Piezoelectric Wind Energy Harvester Generating High Harmonicity. Sustainability 2021, 13, 7709 .

AMA Style

Erol Kurt, Davut Özhan, Nicu Bizon, Jose Lopez-Guede. Design and Implementation of a Maximum Power Point Tracking System for a Piezoelectric Wind Energy Harvester Generating High Harmonicity. Sustainability. 2021; 13 (14):7709.

Chicago/Turabian Style

Erol Kurt; Davut Özhan; Nicu Bizon; Jose Lopez-Guede. 2021. "Design and Implementation of a Maximum Power Point Tracking System for a Piezoelectric Wind Energy Harvester Generating High Harmonicity." Sustainability 13, no. 14: 7709.