Technical an‎d Economic Optimization of a Wind Energy Harvesting System without external moving parts

10/18/2026 12:00:00 AM

In this study, a wind energy harvesting system without external rotating components was designed, simulated, an‎d analyzed to overcome the mechanical challenges of conventional wind turbines—such as high wear an‎d tear, noise generation, an‎d vibration. Initially, the system geometry was modeled based on the Venturi effect an‎d analyzed using ANSYS Fluent an‎d XFlow software. Numerical results indicated that by optimizing the inlet an‎d outlet duct dimensions, the local wind velocity in the active region increased by up to 28%, leading to a significant improvement in the aerodynamic efficiency of the system. For the optimized model, the generated power at an average wind speed of 5.25852 m/s was calculated to be 354.787 W, demonstrating a considerable increase compared to the baseline design. Moreover, the power coefficient (Cp) improved from 0.291 to 0.374, indicating enhanced energy performance in the modified configuration. From an economic perspective, the total construction cost of the system was estimated at approximately 32 million IRR, with annual maintenance costs around 1.92 million IRR. Given an annual energy production of about 3106.9 kWh an‎d a SATBA electricity purchase tariff of 4600 IRR per kWh, the system yields an estimated net annual income of 12.37 million IRR, with a payback period of approximately 2 to 2.5 years, accounting for tariff escalation rates. Finally, a comparative analysis of the Levelized Cost of Energy (LCOE) revealed that, in small-scale applications, the proposed system is more cost-effective an‎d sustainable than photovoltaic panels, which are currently the most commonly used microgrid systems in Iran.

برداشت انرژي باد , بدون المان دوار , ديناميك سيالات محاسباتي , ضريب توان , تحليل اقتصادي , هزينه همتراز انرژي (LCOE) , نرخ بازگشت سرمايه , اثر ونتوري

Wind energy harvesting , without moving parts , computational fluid dynamics , power factor , economic analysis , levelized cost of energy (LCOE) , rate of return on investment , Venturi effect

Mohsen Dehghani

Meysam Farajollahi, Alireza Zahedi