Volume 8: Supercritical CO2 Power Cycles; Wind Energy; Honors and Awards 2013
DOI: 10.1115/gt2013-94979
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Development and Application of a Simulation Tool for Vertical and Horizontal Axis Wind Turbines

Abstract: A double-multiple-streamtube vertical axis wind turbine simulation and design module has been integrated within the open-source wind turbine simulator QBlade. QBlade also contains the XFOIL airfoil analysis functionalities, which makes the software a single tool that comprises all functionality needed for the design and simulation of vertical or horizontal axis wind turbines. The functionality includes two dimensional airfoil design and analysis, lift and drag polar extrapolation, rotor blade design and wind t… Show more

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Cited by 42 publications
(41 citation statements)
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“…It does not encompass analysis or experimentation of VAWT configurations, 6,[17][18][19] evaluation of wake interactions on the obverse side of rotation. 20,21 Rather, it expands on theoretical estimates of airfoil performance in the post-stall regime.…”
Section: Methodsmentioning
confidence: 99%
“…It does not encompass analysis or experimentation of VAWT configurations, 6,[17][18][19] evaluation of wake interactions on the obverse side of rotation. 20,21 Rather, it expands on theoretical estimates of airfoil performance in the post-stall regime.…”
Section: Methodsmentioning
confidence: 99%
“…This sections compares the quasi steady state performance predictions of the LLT method with those of a DMST model, already implemented in QBlade [11], and those of a 2D U-RANS simulation carried out at the University of Florence (described in [12; 13]). The rotor used in this comparison is a straight bladed H-Darrieus rotor, simulated in a one bladed configuration (Table 1, Figure 8).…”
Section: Validation / Code Comparisonmentioning
confidence: 99%
“…However, the investigations on the blade airfoils of VAWTs are far fewer than those have been carried out on the HAWTs, and the parametric investigation on a wide range of designs is experimentally expensive and time taking procedure. In this context, Marten et al [5] have developed a fast processing algorithm 'QBlade' based on double multiple stream tube (DMST) model as described in [6,7]. The application of DMST for performance prediction of the VAWTs were also observed in the studies of Beri and Yao [8], Biadgo et al [9] and Wang et al [10].…”
Section: Introductionmentioning
confidence: 97%
“…5), one at the upstream of the turbine rotation (0°-180°) and another at the downstream of the turbine rotation (180°-360°). Each of the turbine blades is discretized into number of elements, and the complete rotational cycle of each element is divided into steps of 5° [5]. The flow through the turbine blades is sub-divided into a large number of streamtubes.…”
Section: Methodsmentioning
confidence: 99%
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