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Optimized low-speed wind energy harvesters: Enhancing piezoelectric and triboelectric performance for urban applications
 
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Ukryj
1
Department of Renewable Energy Engineering, Amman Arab University, Amman, Jordan
 
2
Department of Mechanical Engineering, Tafila Technical University, Tafila, Jordan
 
3
Faculty of Environmental Engineering and Energy, Lublin University of Technology, ul. Nadbystrzycka 40B, 20-618 Lublin, Poland
 
4
Department of Material Science and Engineering, College of Engineering and Energy, Abdullah Al Salem University, Kuwait
 
5
Department of Electrical Engineering, Mutah University, Al Karak, Jordan
 
 
Autor do korespondencji
Mohammad Fawzi Ismail   

Department of Renewable Energy Engineering, Amman Arab University, Amman, Jordan
 
 
 
SŁOWA KLUCZOWE
DZIEDZINY
 
STRESZCZENIE
Urban areas typically produce wind speeds which fall below 2.0 m/s making traditional wind turbine systems inefficient in energy harvesting. This research investigates how to optimize the performance of low wind speed harvesters (LWSH) for superior energy generation capabilities.this allows the wind energy utilization in urban areas. Different LWSH have been optimized to be suitable for urban areas. A wake galloping triboelectric nanogenerator (TENG) exceeded all other designs to produce 90 mW of power when operating at 1 m/s wind speed which surpassed the power generation of 25.6 mW by the double-bluff body exciter piezoelectric wind energy harvester (PWEH). The implemented power optimization methods increased output performance by 80% and impedance adjustments led to a 60% efficiency boost. During March and May when wind speed reached 1.4 m/s, the system generated peak energy output of 1040 Wh but the energy production decreased to 335 Wh when operating at 0.95 m/s from April through October. When coupled as a wake galloping TENG with Y-shaped PWEH this power combination operated a 500 mW IoT device but other systems needed additional units to achieve similar results. The wake galloping TENG represents the optimum solution for capturing low-wind power in cities because it offers both maximum efficiency and affordable operation which supports independent IoT and smart city networks.
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