Net Power Coefficient of Vertical and Horizontal Wind Turbines with Crossflow Runners

Pujol, Toni; Massaguer, A.; Massaguer, E.; Montoro, Lino; Comamala, M.

doi:10.3390/en11010110

Cited by 14 publications

(14 citation statements)

References 33 publications

(52 reference statements)

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“…This PV model is constructed using Equations ( 4)-( 11) for a 60 W Solarex MSX60 PV panel as given below [41]. In this model, optimum TSR values in the ranges of 0.3 to 2.5 are considered to study the virtual model performance because a better power coefficient exists for the least values [38,39]. The proposed Simulink model accepts the wind speed inputs from 0 m/s to 24 m/s to provide power output from 0 kW to 2 kW, respectively i.e., 0 m/s wind speed velocity is adopted to study the momentary no wind speed effect on total energy generation.…”

Section: Design Of Virtual Pv Modulementioning

confidence: 99%

“…The effect of energy conversation on the demand side is investigated with this AuFuCo model [39] and it is tested through the increasing single point energy efficiency of wind and PV systems. In the present scenario, solar panels are available at 18% conversion efficiency, and the VAWT model wind turbine available at 35%.…”

Section: Effect Of Energy Conversion On Dsm Techniquementioning

confidence: 99%

See 1 more Smart Citation

Autonomous Fuzzy Controller Design for the Utilization of Hybrid PV-Wind Energy Resources in Demand Side Management Environment

Anthony¹,

Prasad

Kannadasan

et al. 2021

Electronics

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This work describes an optimum utilization of hybrid photovoltaic (PV)—wind energy for residential buildings on its occurrence with a newly proposed autonomous fuzzy controller (AuFuCo). In this regard, a virtual model of a vertical axis wind turbine (VAWT) and PV system (each rated at 2 kW) are constructed in a MATLAB Simulink environment. An autonomous fuzzy inference system is applied to model primary units of the controller such as load forecasting (LF), grid power selection (GPS) switch, renewable energy management system (REMS), and fuzzy load switch (FLS). The residential load consumption pattern (4 kW of connected load) is allowed to consume energy from the grid and hybrid resources located at the demand side and classified as base, priority, short-term, and schedulable loads. The simulation results identify that the proposed controller manages the demand side management (DSM) techniques for peak load shifting and valley filling effectively with renewable sources. Also, energy costs and savings for the home environment are evaluated using the proposed controller. Further, the energy conservation technique is studied by increasing renewable conversion efficiency (18% to 23% for PV and 35% to 45% for the VAWT model), which reduces the spending of 0.5% in energy cost and a 1.25% reduction in grid demand for 24-time units/day of the simulation study. Additionally, the proposed controller is adapted for computing energy cost (considering the same load pattern) for future demand, and it is exposed that the PV-wind energy cost reduced to 6.9% but 30.6% increase of coal energy cost due to its rise in the Indian energy market by 2030.

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Section: Design Of Virtual Pv Modulementioning

confidence: 99%

Section: Effect Of Energy Conversion On Dsm Techniquementioning

confidence: 99%

Autonomous Fuzzy Controller Design for the Utilization of Hybrid PV-Wind Energy Resources in Demand Side Management Environment

Anthony¹,

Prasad

Kannadasan

et al. 2021

Electronics

View full text Add to dashboard Cite

show abstract

“…The design here described has been developed for an existing commercial micro-wind turbine, though it can be made extensive to any horizontal-axis model. Other type of wind turbines, like vertical-axis ones or horizontal-axis with crossflow runners as blades [3] are not analysed here. The micro-wind turbine analysed is model M-300 of Guangmang.…”

Section: Commercial Micro-wind Turbinementioning

confidence: 99%

Design of an active pitch control for small horizontal-axis wind turbine

́vila¹,

Luo²,

Pacheco³

et al. 2021

REPQJ

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The installed power capacity from small wind turbines would rise in case of having higher efficiency values. The performance of these devices is very sensitive to wind conditions, especially to wind gusts and turbulence. Performance extracted from small-scale wind turbine datasheets show large variations of power output between turbulent and non-turbulent sites and often the installation in intermittent wind sites is discouraged. The use of blades with fixed positions is a clear drawback of small wind turbines. Here, we propose a design of a smart active pitch control to increase the energy generation of micro-wind turbines (< 5 kWp). The design consists of a simple mechanism that allows the rotation of the blades controlled by a low cost peripheral interface controller. The possibility to orientate the blades so as to maximise the power output at all wind conditions will increase the performance of this small wind turbines. The design is robust and economical, which will increase its potential adoptability rate by the end-user.

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“…The realizable k-ε turbulence model of the second-order upwind scheme with the SIMPLE segregated algorithm method [36] is applied to solve the Reynolds-averaged Navier Stokes (RANS) equations. The realizable k-ε turbulence model [37,38] with scalable wall function is a starting method for turbulence analysis for more accuracy and better convergence characteristics [39,40] for calculating power and torque, apart from its coefficient values for a VAWT model. The SIMPLE algorithm [41] is a pressure velocity coupling solution scheme, used to update the pressure and velocity in the simulation for better accuracy.…”

Section: Selection Of Turbulence Modelmentioning

confidence: 99%

Design of Rotor Blades for Vertical Axis Wind Turbine with Wind Flow Modifier for Low Wind Profile Areas

Anthony¹,

Prasad

Kannadasan

et al. 2020

Sustainability

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This work focuses on the design and analysis of wind flow modifier (WFM) modeling of a vertical axis wind turbine (VAWT) for low wind profile urban areas. A simulation is carried out to examine the performance of an efficient low aspect ratio C-shaped rotor and a proposed involute-type rotor. Further, the WFM model is adapted with a stack of decreased diameter tubes from wind inlet to outlet. It accelerates the wind velocity, and its effectiveness is examined on the involute turbine. Numerical analysis is performed with a realizable K-ε model to monitor the rotor blade performance in the computational fluid dynamics (CFD) ANSYS Fluent software tool. This viscous model with an optimal three-blade rotor with 0.96 m2 rotor swept area is simulated between the turbine rotational speeds ranging from 50 to 250 rpm. The parameters, such as lift–drag coefficient, lift–drag forces, torque, power coefficient, and power at various turbine speeds, are observed. It results in a maximum power coefficient of 0.071 for the drag force rotor and 0.22 for the lift force involute rotor. Moreover, the proposed WFM with an involute rotor extensively improves the maximum power coefficient to an appreciable value of 0.397 at 5 m/s wind speed, and this facilitates efficient design in the low wind profile area.

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Net Power Coefficient of Vertical and Horizontal Wind Turbines with Crossflow Runners

Cited by 14 publications

References 33 publications

Autonomous Fuzzy Controller Design for the Utilization of Hybrid PV-Wind Energy Resources in Demand Side Management Environment

Autonomous Fuzzy Controller Design for the Utilization of Hybrid PV-Wind Energy Resources in Demand Side Management Environment

Design of an active pitch control for small horizontal-axis wind turbine

Design of Rotor Blades for Vertical Axis Wind Turbine with Wind Flow Modifier for Low Wind Profile Areas

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