The Archimedes Spiral Wind Turbine represents an innovative approach to harnessing wind energy in urban settings. This study advances the field by integrating an improved optimization algorithm using Genetic Algorithms to enhance the aerodynamic efficiency of ASWTs. A combination of computational modeling and experimental validation was employed to refine the turbine’s blade angle, height, and pitch-to-diameter ratio. Using 3D printing technology, the optimized turbine was fabricated and tested under controlled wind tunnel conditions. Initial experiments indicated an efficiency of 7 %, which was systematically improved through iterative modifications, achieving a final efficiency of 28 %. MATLAB-based simulations projected monthly and yearly energy outputs across eight cities in Bangladesh, showing significant regional variations. The most considerable yearly power output was found in coastal cities like Chittagong and Barishal, with Chittagong reaching a peak of 192.61 kWh in July and Barishal producing 127.68 kWh in the same time frame. The energy potential of inland towns such as Dhaka and Rajshahi was moderate; in June, Dhaka produced a high of 130.13 kWh. The two regions with the lowest yearly production were Rangpur and Sylhet; in January, Sylhet produced as little as 9.77 kWh because of worse wind conditions. According to monthly patterns, monsoon months (May-August) saw the highest energy output and little output during winter (December-February).
Akash et al. (Thu,) studied this question.