| Abstract |
A hybrid tree is a synthetic construction that look a lot like a real tree, with solar panels or wind turbines installed on its branches. It will enable the delivery of electricity to lighting loads, cell phones, household devices, laptops, and electric vehicles, making it a suitable source of energy for green cities or smart cities. A 0.7-kW hybrid tree development with 200 W of solar and 500 W of wind is used in this study. To maximize energy output, PV panels should be oriented perpendicular to the sun's rays. This research includes an automated two-axis intelligent solar tracking system that automatically positions PV panels to achieve optimum energy output from any part of world. Tracking system is developed on a computational model that incorporates a controller, GPS, gyro-orientation sensor and digital-compass. The developed technology accurately tracks the sun while using minimal electricity, increasing the efficiency of PV panels. Solar panel parameters were measured at different temperature and irradiance range. The data taken from three distinct days is used for simulation to further evaluate it. Research has been conducted on wind turbine power attributes at different wind speeds and power coefficients at several tip speed ratios. The hybrid tree's power generation was studied on various days. The acquired findings revealed that the designed system can follow the sun on any day, optimizing energy use by operating tracker within particular times that allow assembling optimum feasible power of solar panels while assuring minimal energy usage by the tracking system. The suggested solar-wind hybrid tree generates 444.5 Wh/day using a two-axis tracking system. © 2025 The Author(s) |
