2019
DOI: 10.1016/j.renene.2018.07.153
|View full text |Cite
|
Sign up to set email alerts
|

A dynamic stall model for analysis of cross-flow turbines using discrete vortex methods

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1

Citation Types

0
2
0

Year Published

2020
2020
2024
2024

Publication Types

Select...
5
1

Relationship

0
6

Authors

Journals

citations
Cited by 6 publications
(3 citation statements)
references
References 7 publications
0
2
0
Order By: Relevance
“…However, post analysis of the experimental data has shown that end-plates have a negative influence on the rotor efficiency (see Table I). This conclusion regarding the losses associated with end-plates is in agreement with the results obtained from experimental tests and numerical simulations of cross-flow turbines in a mean flow [38].…”
Section: A Analysis Of Optimal Conditions For Power Productionsupporting
confidence: 90%
“…However, post analysis of the experimental data has shown that end-plates have a negative influence on the rotor efficiency (see Table I). This conclusion regarding the losses associated with end-plates is in agreement with the results obtained from experimental tests and numerical simulations of cross-flow turbines in a mean flow [38].…”
Section: A Analysis Of Optimal Conditions For Power Productionsupporting
confidence: 90%
“…In the Taguchi method, the goal is to find the optimum combination of controlling factors. In this study, four standard factors which have significant effects on the hydrodynamic performance of vertical turbines [51][52][53][54][55][56] are chosen, including twist angle (A), camber position (B), maximum camber (C), and chord/radius ratio (D).…”
Section: Initial Design Cfd Modelling and Validationmentioning
confidence: 99%
“…The hydrodynamic performances depend on 3 factors: tip-speed ratio, solidity, and Reynolds number. Some studies showed that there are many approaches to evaluate and predict the hydrodynamic performance of HKT: the vortex method (Urbina et al., 2019), the computational dynamics method CFD (Kolekar and Banerjee, 2015; Mannion et al., 2019; Zhou et al., 2019), and also the most used approach is Blade Element Momentum Theory BEMT for optimizing the hydrokinetic blade (Chaudhary and Prakash, 2019; Elgammi et al., 2020).…”
Section: Introductionmentioning
confidence: 99%