The potential of wind energy via an intelligent IoT-oriented assessment

In contemporary times, renewable energy reliability has been an important field of research that is combined with the Internet of Things (IoT) including the opportunities for improving and challenging the work. Wind energy harvesting in IoT (WHIoT)-based framework is investigated considering the associated potential in the historical city of Bam is proposed in this paper. Weibull distribution function, wind power, and energy density were computed for three heights of 40, 60, and 80 m. The results at 80 m show that the maximum monthly wind speed average of 8.48 m/s occurred in July while the minimum value was observed in December with a value of 3.92 m/s. It was demonstrated that during the summer season power density and energy density are at peak values. This is an advantageous observation for Bam city with higher demand for energy during hot summer. The performance of six different wind turbines was assessed in terms of energy production and capacity factor. Finally, an economic assessment was performed to investigate the suitability of Bam city for the installation of small-scale wind turbines.

Automated summary

In this paper, a framework for wind energy harvesting based on the Internet of Things (IoT) was investigated in the historical city of Bam. Results showed that peak power density and energy density occur during the summer season, making it advantageous for Bam city with higher energy demand in the hot summer months. Additionally, an economic assessment was conducted to determine the feasibility of installing small-scale wind turbines in the city.