Remote triggered monitoring of wind performance using Weibull and Rayleigh distributions

In this era of depleting fossil fuels and global warming, alternative sources of energy are critical to mankind's survival, making its study imperative for energy engineering students. This work demonstrates the design, development and implementation of a remote triggered experiment to analyze wind data and correlate it with Weibull and Rayleigh distributions performed in coastal Kerala, in southwest India. Interfacing instrumentation with the server and website, in order to collect the wind speed and direction, is enumerated. This work provides a platform that can remotely control, capture and model both short term and long term wind data thereby overcoming a critical barrier in bringing wind energy experimentation to engineering classrooms, namely lack of in-house wind power analysis systems. Additionally, the platform allows testing the feasibility of turbine installations based on predictions from the Rayleigh and Weibull probability distributions.