Wind Energy
Cyrille Rodrigue Enone Ellah; Alban Fabrice Lionel Epée; Judith Francisca Ngbara Touafio; Cyrille Mezoue Adiang; Ruben Martin Mouangue
Abstract
This study aims to identify a favorable area for wind energy exploitation in the Littoral region of Cameroon. The study used data collected by the meteorological service at Douala International Airport. A probabilistic method based on the Weibull distribution with two parameters was used to assess the ...
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This study aims to identify a favorable area for wind energy exploitation in the Littoral region of Cameroon. The study used data collected by the meteorological service at Douala International Airport. A probabilistic method based on the Weibull distribution with two parameters was used to assess the potential of the study area. Three methods were used to determine the parameters of this distribution: the maximum likelihood method, the WAsP method, and the energy pattern factor method. Statistical tests showed that the energy pattern factor method is more efficient, but the WAsP software provided acceptable results. The WAsP software was used to generate maps of the mean wind speed and wind power density at different heights. Two specific wind turbines were considered to calculate the annual energy production. The topography of the study area, the obstructions around the logger, and the roughness of the terrain were all taken into account when generating the maps for the different characteristics. Finally, maps at heights of 50 and 100 m were created using extrapolation techniques. Two zones with the highest power density were identified. In one of these locations, the wind power density could reach 54 W/m2 at a height of 100 m and the annual electrical output from a specific wind turbine could reach 1 GWh. The corresponding location is located at latitude 4.0661° North and longitude 9.8796° East.
Wind Energy
Sh.Sh. Dol; A. Khamis; M. T. Abdallftah; M. Fares; S. Sh. Pervaiz
Abstract
The current research illustrates the optimization of Vertical Axis Wind Turbine (VAWT) blades with implementation of added winglets displaying improved self-starting capabilities. The application of improved design is to be utilized in a university campus located in United Arab Emirates (UAE) in order ...
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The current research illustrates the optimization of Vertical Axis Wind Turbine (VAWT) blades with implementation of added winglets displaying improved self-starting capabilities. The application of improved design is to be utilized in a university campus located in United Arab Emirates (UAE) in order to reduce its margin of consumed electrical energy by 15%. The study is conducted over a mean wind speed value of 5 m/s achieved in a one-year period at a specific altitude of 50 m in the UAE. Two aerodynamic simulation software were adopted, namely ANSYS FLUENT CFD and QBlade, with designs being modelled using AutoCAD. The analytical analysis included some aerodynamic characteristic such as power, lift, and drag coefficients. Through 2D-computational fluid dynamics (CFD), simulation study tested 20 different symmetrical as well as asymmetrical airfoils including the cambered S-0146 with 26.83% higher power output and lower noise amongst the test subjects. Turbine torque for added winglet design results in 4.1% higher compared to the benchmark. The modified design aims to produce at least 2% more power and have an improvement in self-starting of at least 20%. VAWTs tend to have higher potential and sensitivity towards wind direction (no yawing mechanism required) illustrating them as more cost-effective. Future scope includes utilizing wind lens technology to increase the free-stream velocity.
Wind Energy
Sh. Mohammadi; A. Maleki; R. Ehsani; O. Shakouri
Abstract
The present study aims to investigate the possibility of using wind energy in some regions of Zanjan province. The current research concentrates on computing the wind energy potential and wind power density. Furthermore, some features related to wind for two locations in Zanjan province have been obtained. ...
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The present study aims to investigate the possibility of using wind energy in some regions of Zanjan province. The current research concentrates on computing the wind energy potential and wind power density. Furthermore, some features related to wind for two locations in Zanjan province have been obtained. Feasibility study of wind energy utilization and computing of wind power density and wind power potential has been widely (Extensively-comprehensively) conducted for Zanjan province. First, two locations in Zanjan province have been considered to analyze the data at a reasonable level of province and to avoid over-focusing on one area. Thereafter, the statistics about wind speed were achieved from the Renewable Energy Organization of Iran in ten-minute intervals and included wind speeds at the heights of 30,10, and 40 m and wind directions at heights of 30 and 37.5 m. Finally, various wind features have been investigated for given locations in Zanjan province. The results demonstrate that the annual wind speed for Soltanieh and Tarom in the height of 40 m were 4.81 m/s and 3.93 m / s, respectively. The highest value U_me and U_mp is calculated, It was observed at a height of 40 m at Soltanie, It is 11.35 m / s and 1.27 m / s, respectively. Also, the performance of several wind turbines in the mentioned areas has been investigated. Finally, a suitable wind turbine has been identified.
Wind Energy
M. Ahmadi; S.A.A. Mirjalily; Seyed A. A. Oloomi
Abstract
This study applies an appropriate turbulence model to simulate the wind distribution in a 3D urban area around a tall building as a bluff body which is one of the most important research topics due to the increasing concerns about human health risks due to air pollution in recent decades. Hybrid RANS/LES ...
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This study applies an appropriate turbulence model to simulate the wind distribution in a 3D urban area around a tall building as a bluff body which is one of the most important research topics due to the increasing concerns about human health risks due to air pollution in recent decades. Hybrid RANS/LES approach, was used to reduce computation time while maintaining computational accuracy. On the other hand, since no homogeneous direction exists in the flow in the Hybrid (RANS-LES) approach, the LES and Smagorinsky Sub Grid-Scale (SGS) approach are implemented with the standard k-ε turbulence model as RANS. To obtain more accurate results, the second-order Van Leer Method (VLM) was employed in advection terms. The sensitivity study of the input parameters shows that the intensity of the input turbulence has a significant effect on the surface pressure fluctuations. The results of velocity and pressure distribution showed a very close agreement to wind tunnel experimental data. Finally, the effects of the inflow characteristics on the peak pressure on the lateral sides is also studied. As the results, fluctuation pressure distribution was strongly dependent on the turbulence of the flow.
Wind Energy
M. A. Javadi; H. Ghomashi; M. Taherinezhad; M. Nazarahari; R. Ghasemiasl
Abstract
AbstractOptimal arrangement of turbines in wind farms is very important to achieve maximum energy at the lowest cost. In the present study, the use of Vestas V-47 wind turbine and uniform one-way wind in achieving the optimal arrangement of horizontal axis turbines in Manjil with genetic and Monte Carlo ...
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AbstractOptimal arrangement of turbines in wind farms is very important to achieve maximum energy at the lowest cost. In the present study, the use of Vestas V-47 wind turbine and uniform one-way wind in achieving the optimal arrangement of horizontal axis turbines in Manjil with genetic and Monte Carlo algorithms has been investigated. Jensen model is used to simulate the wake effect on the downstream turbines. The objective function is considered as the ratio of cost to power of the power plant. The results show that the Monte Carlo method compared with genetic algorithm will give a better result. Under the same conditions, the Monte Carlo algorithm will give 29% and 40% better results in terms of the number of turbines and output power, respectively. In terms of optimization, in the Monte Carlo algorithm, its fitness value is 16% less than the genetic algorithm, which indicates its better optimization.
Wind Energy
H. Berahmandpour; Sh. Kouhsari; H. Rastegar
Abstract
Economic dispatch in the presence of wind farms is of high interest in power system operational planning. Due to the uncertainty of wind speed and wind power, a probabilistic model is needed for application in economic dispatch solution. The weibull probability distribution function is a common tool ...
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Economic dispatch in the presence of wind farms is of high interest in power system operational planning. Due to the uncertainty of wind speed and wind power, a probabilistic model is needed for application in economic dispatch solution. The weibull probability distribution function is a common tool to model wind speed probabilistic behavior, but the main challenge is the nonlinearity of wind power generation with respect to wind speed. This causes complexity in probabilistic economic dispatch, which can lead to numerical and time-consuming solution methods. Therefore, linearization of the wind power curve is in the interest of some methods by simply connecting the first point to end point of power curve by a straight line. In this paper, by developing a conventional objective function for ED solution, two main contributions are made to obtain a suitable method for fast and also good accuracy results in real time purposes. At first, an improved method for linearization of wind power curve with respect to previous works is introduced which increases the performance of modelling with respect to the nonlinear model as the base model. The second contribution is developing an analytical routine for economic dispatch by an acceptable time-consuming calculation suitable for real time purposes. The effectiveness of the new approach has been tested on two test systems. The results show the improvement in relative error in ED cost with respect to real nonlinear curve model which reduces the error about one fifth regard to the conventional linearization model.
Wind Energy
N. Mishra; A. Jain; A. Nair; B. Khanna; S. Mitra
Abstract
As the energy demand is growing and fossil fuel based energy resources are getting depleted, there has been an increased focus on the use of renewable energy resources. Wind energy is a highly suitable energy resource that can be harvested for the purpose. This research deals with the design and fabrication ...
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As the energy demand is growing and fossil fuel based energy resources are getting depleted, there has been an increased focus on the use of renewable energy resources. Wind energy is a highly suitable energy resource that can be harvested for the purpose. This research deals with the design and fabrication of novel designs as a mean to harness wind energy using a ‘Savonius’ Turbine. It is generally employed to harvest the low to very low wind speed potentials. The paper introduces a novel concept about a Ducted Savonius wind turbine where power generation can increase more than 10 folds. The paper provides experimental validation of the effect of using a converging ducted structure with a single stage and double stage configurations of a Savonius wind turbine. The paper also compares the turbine’s performance with and without endplates and compares Single Stage and Double Stage Turbine. The experiment results show that around 15% increase in tangential blade velocity in single stage rotor when end plates are used. The results of the study proves that power coefficient increases with the addition of a converging ducted structure with the Savonius wind turbine, and also with the use of endplates.
Wind Energy
RSR Gorla; M. K. Pallikonda; G. Walunj
Abstract
In the developed world, energy is one of the major factors and research is focusing on renewable energy. The global warming, CO2, NOX and limited fossil fuel are the research areas that are important. Renewable energy may be generated by wind, water, wave, solar and biomass. In this article, we are studying ...
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In the developed world, energy is one of the major factors and research is focusing on renewable energy. The global warming, CO2, NOX and limited fossil fuel are the research areas that are important. Renewable energy may be generated by wind, water, wave, solar and biomass. In this article, we are studying the wind energy availability for Cleveland, Ohio area. A statistical method using the Rayleigh probability distribution function is used to estimate the mean wind speed and thus calculate the annual energy output from a windmill. Furthermore, the annual energy output calculated from Rayleigh PDF is compared with the actual energy output from the observed historical data for the period 2009-2018