Power Performance Analysis Based on Savonius Wind Turbine Blade Design and Layout Optimization through Rotor Wake Flow Analysis

Im, Heejeon; Kim, Bum Suk

doi:10.3390/en15249500

Cited by 6 publications

(4 citation statements)

References 24 publications

(26 reference statements)

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“…Seeking an appropriate wind farm layout constitutes a challenging vital task in wind-energy-related projects. For this, many works explore this trend in the research direction [21][22][23][24][25][26][27][28]. The optimized layout in [21] improved the power production by approximately 97%, where the genetic algorithm was utilized with a continuous approach to explore unlimited wind farm layouts.…”

Section: Literature Review On Wind Power Predictionmentioning

confidence: 99%

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Wind Farm Power Prediction Considering Layout and Wake Effect: Case Study of Saudi Arabia

2023

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The world’s technological and economic advancements have led to a sharp increase in the demand for electrical energy. Saudi Arabia is experiencing rapid economic and demographic growth, which is resulting in higher energy needs. The limits of fossil fuel reserves and their disruption to the environment have motivated the pursuit of alternative energy options such as wind energy. In order to regulate the power system to maintain safe and dependable operation, projections of current and daily power generation are crucial. Thus, this work focuses on wind power prediction and the statistical analysis of wind characteristics using wind data from a meteorological station in Makkah, Saudi Arabia. The data were collected over four years from January 2015 to July 2018. More than twelve thousand data points were collected and analyzed. Layout and wake effect studies were carried out. Furthermore, the near wake length downstream from the rotor disc between 1 and 5 rotor diameters (1D to 5D) was taken into account. Five robust machine learning algorithms were implemented to estimate the potential wind power production from a wind farm in Makkah, Saudi Arabia. The relationship between the wind speed and power produced for each season was carefully studied. Due to the variability in the wind speeds, the power production fluctuated much more in the winter. The higher the wind speed, the more significant the difference in energy production between the five farm layouts, and vice versa, whereas at a low wind speed, there was no significant difference in the power production in all of the near wake lengths of the 1D to 5D rotor diameters downstream from the rotor disc. Among the utilized prediction models, the decision tree regression was found to have the best accuracy values in all four utilized evaluation metrics, with 0.994 in R-squared, 0.025 in MAE, 0.273 in MSE, and 0.522 in RMSE. The obtained results were satisfactory and provide support for the construction of several wind farms, producing hundreds of megawatts, in Saudi Arabia, particularly in the Makkah Region.

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Section: Literature Review On Wind Power Predictionmentioning

confidence: 99%

“…With the derived data, wind deficit and turbulence features can be examined in detail. State-of-the-art wind farm models based on more complex and precise wake measurements are required through model creation and validation processes [7,27].…”

Section: Wake Effect On Wind Powermentioning

confidence: 99%

Wind Farm Power Prediction Considering Layout and Wake Effect: Case Study of Saudi Arabia

2023

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“…Horizontal axis wind turbines are effective but less practical in urban areas and during low wind speeds. In contrast, vertical axis wind turbines, like Savonius and Darrius rotors, can provide decentralized power systems, with Savonius rotors excelling in starting power, even in low wind conditions [5]. Multiple studies have been done to further improve Savonius' efficiency and self-starting ability by optimizing its rotor geometry and implementing deflectors.…”

Section: Introductionmentioning

confidence: 99%

Experimental investigation into the effects of endplate designs for a Savonius turbine

Wong,

Foo,

Chong

et al. 2024

IOP Conf. Ser.: Earth Environ. Sci.

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Wind energy is experiencing a trend of exponential growth in both literature and industrial employment, emphasizing its current pivotal role in achieving carbon neutrality by replacing fossil fuels. Vertical axis wind turbines (VAWTs) particularly Savonius rotors operate at a lower tip-speed-ratio (TSR) range compared to horizontal axis wind turbines (HAWTs). The Savonius rotor has good starting characteristics, making it suitable to be placed in urban areas with lower wind speeds. Due to its low efficiency, studies on augmentation and optimization have been conducted to improve its blade and deflector designs. Extensive research has established a common consensus that the use of endplates significantly improves the aerodynamic performance of the Savonius rotor. However, limited research has been undertaken to explore the endplate design further. In this study, wind tunnel tests were conducted on different endplate ratios, to investigate the effects of endplate design on the aerodynamic performance of a conventional Savonius turbine. Three different Savonius rotor with no endplate, semi-circular endplate and circular endplate were designed and manufactured. Experiments were conducted in an open-type suction wind tunnel at a constant measured wind velocity of 5.89 m/s. The turbine’s performance for different endplate ratios was evaluated across a TSR range of 0.2 to 1.0. The performance was assessed based on the maximum power generated and its self-starting ability. From the experimental results, the circular endplate ratio of 1.1 shows a significantly high coefficient of power compared to both semi-circular and without endplates. This is due to reduced spanwise spillage and enhanced airflow capture by the rotor. The endplates direct incoming air to the advancing blade and overlap region, resulting in the increased pressure difference between the concave and convex sides of both the advancing and returning blade, thereby improving the power efficiency of the turbine with 1.1D diameter endplate and semi-circular endplate by 296.6% and 6.9% compared to no endplates case.

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“…Experimental findings indicate that adjusting the geometry of blades in a Savonius rotor wind turbine can lead to an enhanced power coefficient. These results highlight the possibility of optimizing the turbine's performance by strategically modifying blade geometry [18,19]. An alternative optimization approach is the design of experiments (DOE), which primarily aims to select specific design parameters that effectively represent the design space.…”

Section: Introductionmentioning

confidence: 99%

Enhancing Savonius Vertical Axis Wind Turbine Performance: A Comprehensive Approach with Numerical Analysis and Experimental Investigations

et al. 2023

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Small-scale vertical-axis wind power generation technologies such as Savonius wind turbines are gaining popularity in suburban and urban settings. Although vertical-axis wind turbines (VAWTs) may not be as efficient as their horizontal-axis counterparts, they often present better opportunities for integration within building structures. The main issue stems from the suboptimal aerodynamic design of Savonius turbine blades, resulting in lower efficiency and power output. To address this, modern turbine designs focus on optimizing various geometric aspects of the turbine to improve aerodynamic performance, efficiency, and overall effectiveness. This study developed a unique optimization method, incorporating a new blade geometry with guide gap flow for Savonius wind turbine blade design. The aerodynamic characteristics of the Savonius wind turbine blade were extensively analyzed using 3D ANSYS CFX software. The optimization process emphasized the power coefficient as the objective function while considering blade profiles, overlap ratio, and blade number as crucial design parameters. This objective was accomplished using the design of experiments (DOE) method with the Minitab statistical software. The research findings revealed that the novel turbine design “OR0.109BS2BN2” outperformed the reference turbine with a 22.8% higher power coefficient. Furthermore, the results indicated a trade-off between the flow (swirling flow) through the gap guide flow and the impact blockage ratio, which resulted from the reduced channel width caused by the extended blade tip length.

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Power Performance Analysis Based on Savonius Wind Turbine Blade Design and Layout Optimization through Rotor Wake Flow Analysis

Cited by 6 publications

References 24 publications

Wind Farm Power Prediction Considering Layout and Wake Effect: Case Study of Saudi Arabia

Wind Farm Power Prediction Considering Layout and Wake Effect: Case Study of Saudi Arabia

Experimental investigation into the effects of endplate designs for a Savonius turbine

Enhancing Savonius Vertical Axis Wind Turbine Performance: A Comprehensive Approach with Numerical Analysis and Experimental Investigations

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