Abstract
This project focuses on designing a weather station and controllable wind turbine to harness the advantages of wind energy, which is one of the most important renewable energy sources in the world. The weather station is an Arduino-based tool and mobile App that measures temperature, humidity, wind speed and direction, and pressure. The methodology used is data analysis to give data and wind turbine control. The weather station provides the proper reads for the owner to steer the turbine in the right direction. Despite the physical, technical, and programming difficulties, both the weather station and mobile App perform well, achieving the project's objectives successfully. The accuracy of the results approaches 80%, with limitations highlighted in the thesis. Recommendations for further improvements and upgrades to the project are also discussed.
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Kaik, M. et al. (2024). Design a Smart Turbines for Power Generation. In: Khoury, R.E., Nasrallah, N. (eds) Intelligent Systems, Business, and Innovation Research. Studies in Systems, Decision and Control, vol 489. Springer, Cham. https://doi.org/10.1007/978-3-031-36895-0_49
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DOI: https://doi.org/10.1007/978-3-031-36895-0_49
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