Abstract

Nowadays, by increasing energy demand and considering the importance of environmental issues in recent decades, the use of renewable energies is expanding. Among renewable energies, wind power and its technology are growing and evolving more rapidly. Resource assessment in Iran has revealed the significant potential of wind energy around the country. To further develop wind energy in the country and create large-scale wind power plants, the consideration of distributed power generation using small wind turbines for applications in agricultural and residential use is needed. Conventional small wind turbines and small wind lens turbines have been developed in recent years. In this research project, a small wind lens turbine is designed. The advantages of this turbine are an increased production capacity and reduced cut-in speed and noise pollution. In this study, a lens (or shroud) is added to a small turbine, and the maximized annual energy production (AEP) and minimization of the levelized cost of energy (LCOE) are modeled. We applied the NSGA-II algorithm for optimization to find the best answer. The input parameters in the objective function of the AEP are cut-in, cut-out, rated speeds, scale factor, and shape factor. Additionally, the input parameters in the objective function of the LCOE are the power production, initial capital cost, annual operating expenses, and balance of energy. The results indicate that installing a wind lens turbine in Kish Island led to an LCOE decrease of 56% on average, and we can see an 83% increase in the AEP. In the Firoozkooh area, an average reduction of 59% in the LCOE and 74% increase in the AEP for a wind lens turbine is observed.

Highlights

  • In recent decades, regarding the Kyoto Protocol and the Paris Agreement, it is clear that the world is ready for a change in terms of energy consumption and greenhouse gas (GHG) emission.Regardless of international laws, most countries are taking their first steps toward a new energy era [1].In addition to the development and achievement of new technologies, humans gradually trend toward new energy sources

  • If lensed turbines are approved in the levelized cost of energy (LCOE), it can be useful for other readers in different areas, in the Middle East region

  • The Firoozkooh area in two different models showed an average reduction of 59% in energy cost and an increase of 74% in annual energy production (AEP) for the wind lens turbine

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Summary

Introduction

In recent decades, regarding the Kyoto Protocol and the Paris Agreement, it is clear that the world is ready for a change in terms of energy consumption and greenhouse gas (GHG) emission. Using exergy analysis and mathematical modeling, they investigated the impact of the external and internal cross-sectional area ratio and free flow velocity on the turbines’ performance Their investigations resulted in a decreasing total energy cost as a function of wind velocity [21] using. MATLAB’s Simulink and a fuzzy neural network algorithm, improving a model to determine some main parameters’ effects on wind lens turbine performance They used the simulation data as input for their model to calculate the effects of adding a flow diffuser on the power factor, coefficient of torque, and rotation velocity. To reduce the wind lens turbine’s levelized cost and improve its technology, Iran requires a strict policy for assessment and the creation of distributed generation power plants. If lensed turbines are approved in the levelized cost of energy (LCOE), it can be useful for other readers in different areas, in the Middle East region

Optimization
Non-Dominated Sorting Genetic Algorithm
The Study Areas
Small Wind Turbine Selection
Minimize
Results and Discussion
Optimization Results
30 Stations
Conclusions
Full Text
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