2020
DOI: 10.3390/en13092311
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Comparative Numerical Analysis on Vertical Wind Turbine Rotor Pattern of Bach and Benesh Type

Abstract: In this work, 3D models in classic configuration of Bach and Benesh rotor type, as well as models with modified blade pattern geometry were analyzed from the air circulation point of view inside the rotor enclosure in order to identify the operating parameters differences according to rotor geometric modified configuration. Constructive design aspects are presented, as well as results obtained from the virtual model analysis in terms of circulation velocity and pressure values which enhance rotor operation rel… Show more

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Cited by 10 publications
(6 citation statements)
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“…There are many blade types with different section shapes placed at a different distance from the rotor central axis, known as the blade gap. Figure 2 presents the principal design parameters for the SAVONIUS rotor model [61][62][63][64][65]. Table 1 presents the main constructive parameters with direct influence on the SAVO-NIUS vertical-axis rotor operation.…”
Section: Constructive and Functional Parameters Of The Vertical-axis ...mentioning
confidence: 99%
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“…There are many blade types with different section shapes placed at a different distance from the rotor central axis, known as the blade gap. Figure 2 presents the principal design parameters for the SAVONIUS rotor model [61][62][63][64][65]. Table 1 presents the main constructive parameters with direct influence on the SAVO-NIUS vertical-axis rotor operation.…”
Section: Constructive and Functional Parameters Of The Vertical-axis ...mentioning
confidence: 99%
“…Table 2 presents these functional parameters characteristic of any type of turbine rotor with a vertical-axis as well as the characteristic relation for each parameter [61][62][63][64][65].…”
mentioning
confidence: 99%
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“…2015;Benesh. 1988), and (Scheaua, 2020) Fig- 1(c). In the same perspective, Bach model has been developed by ( Roy & Saha.…”
Section: Introductionmentioning
confidence: 97%
“…Also, because these properties depend on the viscosity of nanoparticles in the base fluid, the nanofluid properties can be adjusted by changing the viscosity of nanoparticles. The structure and principles of multi-objective optimization methods are the same as single-objective optimization methods, but in a way the number of variables and objective functions in these methods is increased and they are used to find an optimal answer collection [1,2]. Hemmat et al Optimized the nanofluid multi-objective with the aim of reducing costs and increasing the heat transfer coefficient [3] Sonawane et al Optimized nanoscale to increase thermal conductivity and reduce viscosity in heat exchangers [4].…”
Section: Introductionmentioning
confidence: 99%