Journal articles: 'WIND ENERGY APPLICATION'

1

Matsyura, Alex, Kazimierz Jankowski, and Marina Matsyura. "BIRDS’ FLIGHT ENERGY PREDICTIONS AND APPLICATION TO RADAR-TRACKING STUDY." Biological Bulletin of Bogdan Chmelnitskiy Melitopol State Pedagogical University 3, no. 03 (October 28, 2013): 135. http://dx.doi.org/10.15421/20133_45.

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In offered research, we propose to observe diurnal soaring birds to check, whether there the positions of birds in formations are such, that the wing tip interval and depth meet the predictions of aerodynamic theory for achievement of maximal conservation of energy or predictions of the hypothesis of communication. We also can estimate, whether adverse conditions of a wind influence the ability of birds to support formation. We can assume that windy conditions during flight might make precision flight more difficult by inducing both unpredictable bird and vortex positions. To this, we need to found change in wing-tip spacing variation with increasing wind speed, suggesting or rejecting that in high winds bird skeins maintained similar variation to that on calm days. The interrelation between variation of mean depth and wind speed should prove this hypothesis. Little is known about the importance of depth, but in high winds the vortex is likely to break up more rapidly and its location become unpredictable the further back a bird flies; therefore, a shift towards skeins with more regular depths at high wind speeds may compensate for the unpredictability of the vortex locations. Any significant relationship between the standard deviation of wing-tip spacing and wind speed suggests that wind has a major effect on optimal positioning. Results of proposed study will be used also as the auxiliary tool in radar research of bird migration, namely in research of flight features of soaring birds. It is extremely important to determine all pertinent characteristics of flock for model species, namely flocking birds. Kew words: birds, flock, radar, flight

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Nashed, Maged N. F. "Variable Angle of SRG for Wind Energy Control Application." International Journal of Engineering Research 4, no. 2 (February 1, 2015): 55–59. http://dx.doi.org/10.17950/ijer/v4s2/203.

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Ngoc, Nguyen Thi Bich, and Phan Thi Thuy Hoa. "Application of Wind Energy." European Journal of Engineering Research and Science 4, no. 8 (August 15, 2019): 22–26. http://dx.doi.org/10.24018/ejers.2019.4.8.1463.

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Wind is a renewable energy source and its use does not produce toxic substances such as fossil fuels. This is one of the most efficient forms of energy, it can become one of the main energy sources for future generations. Wind energy is one of renewable energy, which is widely used when the device is mass-produced, assembly technology is completed. Developed industrial countries have developed strategies to more actively exploit wind power in the future and gradually replace traditional energy sources such as coal, hydropower, nuclear. This paper examines wind power, applicability, general development trend in the world and assesses from an economic and environmental perspective as well as some recommendations on wind energy development in Vietnam.

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Ngoc, Nguyen Thi Bich, and Phan Thi Thuy Hoa. "Application of Wind Energy." European Journal of Engineering and Technology Research 4, no. 8 (August 15, 2019): 22–26. http://dx.doi.org/10.24018/ejeng.2019.4.8.1463.

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Wind is a renewable energy source and its use does not produce toxic substances such as fossil fuels. This is one of the most efficient forms of energy, it can become one of the main energy sources for future generations. Wind energy is one of renewable energy, which is widely used when the device is mass-produced, assembly technology is completed. Developed industrial countries have developed strategies to more actively exploit wind power in the future and gradually replace traditional energy sources such as coal, hydropower, nuclear. This paper examines wind power, applicability, general development trend in the world and assesses from an economic and environmental perspective as well as some recommendations on wind energy development in Vietnam.

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Musau, Stephen K., Kathrin Stahl, Kevin Volkmer, Nicholas Kaufmann, and Thomas H. Carolus. "A design and performance prediction method for small horizontal axis wind turbines and its application." AIMS Energy 9, no. 5 (2021): 1043–66. http://dx.doi.org/10.3934/energy.2021048.

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<abstract> The paper deals with small wind turbines for grid-independent or small smart grid wind turbine systems. Not all small turbine manufacturers worldwide have access to the engineering capacity for designing an efficient turbine. The objective of this work is to provide an easy-to-handle integrated design and performance prediction method for wind turbines and to show exemplary applications. The underlying model for the design and performance prediction method is based on an advanced version of the well-established blade-element-momentum theory, encoded in MATLAB™. Results are (i) the full geometry of the aerodynamically profiled and twisted blades which are designed to yield maximum power output at a given wind speed and (ii) the non-dimensional performance characteristics of the turbine in terms of power, torque and thrust coefficient as a function of tip speed ratio. The non-dimensional performance characteristics are the basis for the dimensional characteristics and the synthesis of the rotor to the electric generator with its load. Two parametric studies illustrate typical outcomes of the design and performance prediction method: A variation of the design tip speed ratio and a variation of the number of blades. The predicted impact of those parameters on the non-dimensional performance characteristics agrees well with common knowledge and experience. Eventually, an interplay of various designed turbine rotors and the given drive train/battery charger is simulated. Criterions for selection of the rotor are the annual energy output, the rotor speed at design wind speed as well as high winds, and the axial thrust exerted on the rotor by the wind. The complete rotor/drive train//battery charger assembly is tested successfully in the University of Siegen wind tunnel. </abstract>

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Cristea, Catalina, and Andreea Florina Jocea. "GIS Application for Wind Energy." Energy Procedia 85 (January 2016): 132–40. http://dx.doi.org/10.1016/j.egypro.2015.12.283.

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Hussein, Dildar, Khairol Amali Ahmad, Ahmad Zulhelmi Mat Nizan, Nazrul Fariq Makmor, and Fakroul Ridzuan Hashim. "Vertical Axis Wind Turbine Application for Power Generation." Jurnal Kejuruteraan si4, no. 2 (October 31, 2021): 23–27. http://dx.doi.org/10.17576/jkukm-2021-si4(2)-04.

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Concerns over security for energy sources have led many countries to concentrate on obtaining renewable energy sources. In fact, Malaysia has also studied various alternative energy sources including wind energy. However, the terrain of Malaysia does not allow strong winds to move the wind turbines. Therefore, initial efforts to harness energy from the wind were not very successful. Therefore, this study has improved previous studies by highlighting the concept of vertical axis wind turbine using Magnus effect concept.

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Abdulai, Nurideen, Leslie Donkor, and Dennis Asare. "Application of GIS and Remote Sensing in Determining Trends in Wind Energy Potential and Its Uses for Designing Development Strategies in Ghana." Applied Research Journal of Environmental Engineering 3, no. 3 (December 31, 2020): 1–10. http://dx.doi.org/10.47721/arjee20200303021.

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This paper is purported to determine the wind energy potential of Ghana for 2010 and 2018 using GIS and RS technologies and how the result could be used to develop a country strategy that benefits the ordinary Ghanaian. In doing this, two different wind potential maps of Ghana were generated for 2010 and 2018 using data from Ghana meteorological Unit and Windfinder respectively. Moreover, the Inverse Distance Weighted interpolation of winds peed was used to generate the maps at different hub heights for 2010 and 2018. The results indicate that, the 2010 wind map showed wind speed is highest (8m/s) in the southernmost part of Ghana (i.e. Coastal part of Greater Accra and Volta Regions) at 10m high while the wind map of 2018 showed that wind speed is highest (9m/s) in the Upper East Region of Ghana at 10m high. As wind energy is untapped in Ghana, we advised that Government should further explore the results for the Upper East Region in ascertaining that it was not influenced by Trade winds and apply to different sectors of the economy through appropriate institutional regulations. The wind energy in Northern Ghana should be dedicated to mechanized agriculture, augmenting electricity tariffs for the poor in those areas and extending electricity to rural communities that do not have access to the national grid under the rural electrification project. Meanwhile, the wind energy generated from the southern part of Ghana should be dedicated mostly to commercial and industrial activities. Keywords: Wind Energy Potential, mechanized agriculture, industrial application, GIS, RS

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Liu, Yucheng, and Stefan J. Chu. "Advance Application of Wind Energy and Wind Power in Louisiana." International Journal of Energy and Engineering 2, no. 3 (May 9, 2012): 60–66. http://dx.doi.org/10.5923/j.ijee.20120203.01.

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Chen, Tsai-Hsiang, Rih-Neng Liao, Chun-Yen Yang, and Yen-Hsun Chiang. "Application of Grid-Level Battery Energy Storage System to Wind Power Fluctuation Smoothing." Journal of Clean Energy Technologies 4, no. 3 (2015): 201–4. http://dx.doi.org/10.7763/jocet.2016.v4.280.

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Sarrias, Raúl, Luis M. Fernández, Carlos A. García, and Francisco Jurado. "Energy storage systems for wind power application." Renewable Energy and Power Quality Journal 1, no. 08 (April 2010): 1117–22. http://dx.doi.org/10.24084/repqj08.601.

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12

Zhang, Yi Hui. "Research on Energy Storage Application of Wind Power." Advanced Materials Research 953-954 (June 2014): 761–64. http://dx.doi.org/10.4028/www.scientific.net/amr.953-954.761.

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With the rapid development of renewable energy technologies, wind power is playing a more and more important role. However the volatility and uncertainty of wind power has brought the grid great adverse effect and limited the range of application. In this paper, we come up with solutions of wind power integration problems according to the different energy storage capacity, charge discharge cycle characteristics. By combining wind power and energy storage technology, we can improve the efficiency and the range of utilization of wind power.

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Chaurasiya, Pram K., Ahmed Siraj, and Vilas Warudkar. "Wind characteristics observation using Doppler-SODAR for wind energy applications." Resource-Efficient Technologies, no. 4 (October 27, 2017): 495–505. http://dx.doi.org/10.18799/24056529/2017/4/171.

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This paper presents an application of Doppler SODAR (Sound Detection and Ranging) system for the as- sessment of wind characteristics at an onshore site in Tamil Nadu, India. The wind speed is statistically analyzed by means of Weibull distribution function and results were used to compute several charac- teristics parameters related to wind energy applications and no significant discrepancies were observed. The characteristics of wind shear coefficient were evaluated for different altitudes. The vertical profile of wind speed measured from SODAR system was compared with existing models. Furthermore, the tur- bulence characteristics were analyzed and compared along with the turbulence intensity. From the eco- nomic point of view the SODAR system was found to be cost-effective at higher heights. The results of this study are expected to provide useful information for the deployment of remote sensing instruments for wind energy development in India.

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Xin, Hua, Chun Hua Zhang, Qing Guo Zhang, and Ping Wang. "Seagull in Wind Turbine Airfoil Blade Design Application Bionic." Applied Mechanics and Materials 380-384 (August 2013): 4336–39. http://dx.doi.org/10.4028/www.scientific.net/amm.380-384.4336.

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Wind energy is an inexhaustible, an inexhaustible source of renewable and clean energy. Present due to the energy crisis and environmental protection and other issues, the use of wind more and more world attention. The wind turbine is the best form of wind energy conversion. Wind turbine wind turbine blades to capture wind energy is the core component of the blade in a natural environment to run directly in contact with air, with seagulls wings generate lift conditions are similar, so the gull wings airfoil and excellent conformation, with wind turbine blade design designed by combining the bionic blades. Through numerical simulation analysis found bionic blade aerodynamic performance than the standard blade aerodynamic performance has improved.

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Rife, Daran L., Emilie Vanvyve, James O. Pinto, Andrew J. Monaghan, Christopher A. Davis, and Gregory S. Poulos. "Selecting Representative Days for More Efficient Dynamical Climate Downscaling: Application to Wind Energy." Journal of Applied Meteorology and Climatology 52, no. 1 (January 2013): 47–63. http://dx.doi.org/10.1175/jamc-d-12-016.1.

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AbstractThis paper describes a new computationally efficient and statistically robust sampling method for generating dynamically downscaled climatologies. It is based on a Monte Carlo method coupled with stratified sampling. A small yet representative set of “case days” is selected with guidance from a large-scale reanalysis. When downscaled, the sample closely approximates the long-term meteorological record at a location, in terms of the probability density function. The method is demonstrated for the creation of wind maps to help determine the suitability of potential sites for wind energy farms. Turbine hub-height measurements at five U.S. and European tall tower sites are used as a proxy for regional climate model (RCM) downscaled winds to validate the technique. The tower-measured winds provide an independent test of the technique, since RCM-based downscaled winds exhibit an inherent dependence upon the large-scale reanalysis fields from which the case days are sampled; these same reanalysis fields would provide the boundary conditions to the RCM. The new sampling method is compared with the current approach widely used within the wind energy industry for creating wind resource maps, which is to randomly select 365 case days for downscaling, with each day in the calendar year being represented. The new method provides a more accurate and repeatable estimate of the long-term record of winds at each tower location. Additionally, the new method can closely approximate the accuracy of the current (365 day) industry approach using only a 180-day sample, which may render climate downscaling more tractable for those with limited computing resources.

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Medykovskyi, Mykola, and Roman Melnyk. "Modeling the energy-dynamic modes of a wind farm with a battery energy storage system (BESS)." Computational Problems of Electrical Engineering 11, no. 1 (April 25, 2021): 20–27. http://dx.doi.org/10.23939/jcpee2021.01.020.

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The article presents the resultsof mathematical modeling of the energy-dynamic processes of a wind farm which includes a battery energy storage system (BESS). The dependence between load capacity and energy generation capabilities of the active set of a wind power plant taking into account the energy capacity of BESS has been determined. A mathematical model of the BESS has been developed. The elaborated model is compared with two other models: a black box module and a model based on equivalent circuit model. The application of the developed model provides an opportunity to optimize the energy capacity of BESS for the specified parameters and modes of operation of the wind power plant. Using the obtained results expands the possibilities of the adequate management of energy-dynamic modes of energy systems with renewable energy sources, provides mitigation of transition processes in conditions of insufficient or excessive wind speeds and consumer loads.

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Higgins, Stéphanie, and Ted Stathopoulos. "Application of artificial intelligence to urban wind energy." Building and Environment 197 (June 2021): 107848. http://dx.doi.org/10.1016/j.buildenv.2021.107848.

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Danesh Shakib, A., and G. Balzer. "Optimization of Battery Application for Wind Energy Storage." Renewable Energy and Power Quality Journal 1, no. 08 (April 2010): 186–90. http://dx.doi.org/10.24084/repqj08.278.

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Huang, Jin. "Research on Exploration and Application of Wind Energy." IOP Conference Series: Earth and Environmental Science 619 (December 22, 2020): 012001. http://dx.doi.org/10.1088/1755-1315/619/1/012001.

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TAKABAYASHI, Mikio, Masaharu IMAKI, and Shumpei KAMEYAMA. "Laser Remote Sensing Technique for 3D Wind Profile; Application for Wind Energy." Journal of The Institute of Electrical Engineers of Japan 140, no. 4 (April 1, 2020): 229–32. http://dx.doi.org/10.1541/ieejjournal.140.229.

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21

Mabrouk, Imen Bel, Abdelkhalak El Hami, Lassâad Walha, Bacem Zghal, and Mohamed Haddar. "Dynamic vibrations in wind energy systems: Application to vertical axis wind turbine." Mechanical Systems and Signal Processing 85 (February 2017): 396–414. http://dx.doi.org/10.1016/j.ymssp.2016.08.034.

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Liu, Li Yang, Jun Ji Wu, and Shao Liang Meng. "The Application of Wind Speed Numerical Simulation in Wind Power Generation." Applied Mechanics and Materials 380-384 (August 2013): 3370–73. http://dx.doi.org/10.4028/www.scientific.net/amm.380-384.3370.

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With the massive development and application of wind energy, wind power is having an increasing proportion in power grid. The changes of the wind speed in a wind farm will lead to fluctuations in the power output which would affect the stable operation of the power grid. Therefore the research of the characteristics of wind speed has become a hot topic in the field of wind energy. In the paper, the wind speed at the wind farm was simulated in a combination of wind speeds by which wind speed was decomposed of four components including basic wind, gust wind, stochastic wind and gradient wind which denote the regularity, the mutability, the gradual change and the randomness of a natural wind respectively. The model is able to reflect the characteristics of a real wind, easy for engineering simulation and can also estimate the wind energy of a wind farm through the wind speed and wake effect model. This paper has directive significance in the estimation of wind resource and the layout of wind turbines in wind farms.

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Kebede, Asegid Belay, Getachew Biru Worku, and Abreham Tibeb Maru. "A Novel Train Roof-Top Wind Energy Conversion System." International Journal of Engineering Research in Africa 61 (July 25, 2022): 165–94. http://dx.doi.org/10.4028/p-ha82nm.

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Cities all around the globe are ramping up efforts to transform their infrastructure in order to achieve a carbon-neutral and sustainable future, resulting in fast electrification of transportation networks. The need for power in this industry is rising, notably in light rail transit. Application of train rooftops wind energy conversion has the potential to power light rail transits with renewable energy. This research paper presents a way to generate electrical energy by utilizing strong wind pressure from light rail trains that channels the induced wind towards the turbine. The current invention's main aim is to establish a method and system for producing energy utilizing winds that can be conveniently available in the operation of trains. Here the wind energy is independent of the variations in the direction and speeds in which seasonal winds move, which do not have the appropriate wind force or force at all times or places for operating the wind turbines. Vertical axis wind turbines are selected due to their advantage for the application under consideration. SOLIDWORKS and MATLAB simulation software were used for the design of the Train Roof-Tops Wind Energy Conversion System (TRT-WECS). The former was used to perform computational fluid dynamics (CFD) on the both normal train as well as the train having a turbine installed on the top, and a comparison has been made in terms of various parameters that affect the performance of the newly designed TRT-WECS. A mathematical model comprising mechanical and electric components has been developed by using MATLAB. Finally, the study found out that this special TRT-WECS design installed in each train provides an annual energy output of 4.9 MWh.

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Kumar, Vivek V., and Dilip A. Shah. "Application of Tubercles in Wind Turbine Blades: A Review." Applied Mechanics and Materials 867 (July 2017): 254–60. http://dx.doi.org/10.4028/www.scientific.net/amm.867.254.

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Due to the rapid depletion of conventional energy resources like fossil fuels and their harmful effects on the environment, there is an urgent need to seek alternative and sustainable energy sources. Wind energy is considered as one of the efficient source of energy which can be converted to useful form of energy like electrical energy. Though the field of wind engineering has developed in the recent era there is still scope for improvement in the effective utilization of energy. Energy efficiency in wind turbine is largely determined by the aerodynamics of the turbine blades and the characteristics of the turbulent fluid flow. The objective of this paper is to have a review on the improvement of Horizontal Axis Wind Turbine (HAWT) blade design by incorporating biomimetics into blades. Biomimetics is the field of science in which we adapt designs from nature to solve modern problems. The morphology of the wing-like flipper of the humpback whale (Megaptera novaeangliae) has potential for aerodynamic applications. Instead of straight leading edges like that of conventional hydrofoils, the humpback whale flipper has a number of sinusoidal rounded bumps, called tubercles arranged periodically along the leading edge. The presence of tubercles modifies the flow over the blade surface, creating vortices between the tubercles. These vortices interact with the flow over the tubercle and accelerate that flow, helping to maintain a partially attached boundary layer. This aerodynamic effect can delay stall to higher angles of attack, increase lift and reduce drag compared to the post-stall condition of conventional airfoils. The modified airfoil is characterized by a superior lift/drag ratio (L/D ratio) due to greater boundary layer attachment from vortices energizing the boundary layer.

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Sahin, Ahmet Duran, and Zekai Sen. "Wind Energy Directional Spatial Correlation Functions and Application for Prediction." Wind Engineering 24, no. 3 (May 2000): 223–31. http://dx.doi.org/10.1260/0309524001495576.

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In planning, design, operation and maintenance of wind farms, the spatial variations in wind velocity become significant. Although there are many wind energy studies at a single location, spatial assessment evaluation methods are scanty. Wind velocity maps may provide a common basis for regional assessment and interpretations, but they do not yield means of regional prediction. Hence, the main purpose of this paper is to propose some new concepts and methods that are useful prior to regional wind energy potential calculations. Among these are Directional Point Cumulative Semivariogram (DPCSV) concepts, which provide information concerning local spatial wind velocity and/or elevation changes. It is possible to obtain the radius of wind velocity influence around each station, along desired directions, based on the DPCSV concept. The implementation of the proposed methodology is presented for some wind velocity measurement stations in Turkey. For the application, the sample DPCSVs are first obtained from the available data, and then converted to Local Spatial Dependence Functions (LSDF). These functions are the basic ingredients for the regional wind velocity estimations. The reliability of the methodology is measured through the cross validation procedure and it is observed that the procedure is valid with less than 20% error.

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Guenoupkati, Agbassou, Adekunlé Akim Salami, Yao Bokovi, Piléki Xavier Koussetou, and Seydou Ouedraogo. "Estimating mixture hybrid Weibull distribution parameters for wind energy application using Bayesian approach." International Journal of Renewable Energy Development 12, no. 5 (July 30, 2023): 902–12. http://dx.doi.org/10.14710/ijred.2023.54452.

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The Weibull distribution function is essential for planning and designing wind-farm implementation projects and wind-resource assessments. However, the Weibull distribution is limited for those areas with high frequencies of calm winds. One solution is to use the hybrid Weibull distribution. In fact, when the wind speed data present heterogeneous structures, it makes sense to group them into classes that describe the different wind regimes. However, the single use of the Weibull distribution presents fitting errors that should be minimized. In this context, mixture distributions represent an appropriate alternative for modelling wind-speed data. This approach was used to combine the distributions associated with different wind-speed classes by weighting the contribution of each of them. This study proposes an approach based on mixtures of Weibull distributions for modelling wind-speed data in the West Africa region. The study focused on mixture Weibull (WW-BAY) and mixture hybrid Weibull (WWH-BAY) distributions using Bayes' theorem to characterize the wind speed distribution over twelve years of recorded data at the Abuja, Accra, Cotonou, Lome, and Tambacounda sites in West Africa. The parameters of the models were computed using the expectation-maximization (E-M) algorithm. The parameters of the models were estimated using the expectation-maximization (E-M) algorithm. The initial values were provided by the Levenberg-Marquardt algorithm. The results obtained from the proposed models were compared with those from the classical Weibull distribution whose parameters are estimated by some numerical method such as the energy pattern factor, maximum likelihood, and the empirical Justus methods based on statistical criteria. It is found that the WWH-BAY model gives the best prediction of power density at the Cotonou and Lome sites, with relative percentage error values of 0.00351 and 0.01084. The energy pattern factor method presents the lowest errors at the Abuja site with a relative percentage error value of -0.54752, Accra with -0.55774, and WW-BAY performs well for the Tambacounda site with 0.19232. It is recommended that these models are useful for wind energy applications in the West African region.

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Sonune, Gaurav G., Chandani S. Bisen, Chhagendranath K. Nagmote, Akshay K. Dhongade, and Akshay B. Kathwate. "Fabrication of Vertical Axis Wind Turbine and Application." International Journal for Research in Applied Science and Engineering Technology 10, no. 4 (April 30, 2022): 127–29. http://dx.doi.org/10.22214/ijraset.2022.41206.

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Abstract: Wind energy is one of the renewable energy sources and the trend is positive and increasing year by year. This technology is applied widely in several regions in the world and already has maturity in technology, good infrastructure, and relative cost competitiveness. The application of structural health monitoring (SHM) is crucial especially to evaluate the performance of wind turbines in real-time assessment. One of the main advantages of this type of wind turbine is the fact that is the only one that was accepted by the environmental agencies because the special shape of the rotor doesn’t kill birds that fly in the area where these turbines are mounted. Keywords: Wind turbine, Green Energy, Energy Management, respect for the Environment, Vertical Axis Wind Turbine

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Pontes, Luana, Tatiane Costa, Amanda Souza, Nicolau Dantas, Andrea Vasconcelos, Guilherme Rissi, Roberto Dias, Mohamed A. Mohamed, Pierluigi Siano, and Manoel Marinho. "Operational Data Analysis of a Battery Energy Storage System to Support Wind Energy Generation." Energies 16, no. 3 (February 2, 2023): 1468. http://dx.doi.org/10.3390/en16031468.

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The insertion of renewable sources to diversify the energy matrix is one of the alternatives for the energy transition. In this sense, Brazil is one of the largest producers of renewable energy in the world, mainly in wind generation. However, the impact of integrating intermittent sources into the system depends on their penetration level, causing problems in the electrical network. To evaluate this scenario, the present article aims to investigate the power quality problems generated by wind turbines in connection with the electrical system and how battery energy storage systems (BESS) solve or mitigate these disturbances in the network. Knowing the impacts of high generation power variability, the focus of the work is the application of power smoothing. However, results are presented for five applications (factor correction, voltage control, power factor smoothing, frequency control and time shift) that can be carried out at the studied wind farm. This article presents a real BESS, which has a capacity of 1 MW/1.29 MWh, connected in parallel to a group of wind turbines that provides a power of approximately 50.4 MW located in Brazil. In addition to presenting the system simulation in HOMER Pro software, this study validates the effectiveness of this BESS by presenting real operation data for each application.

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Kong, Chun Yan, Shao Feng Wu, Ying Sun, and Ke Jun Li. "Vanadium Redox Battery System and Its Energy Storage Application in Wind Farm." Advanced Materials Research 282-283 (July 2011): 112–15. http://dx.doi.org/10.4028/www.scientific.net/amr.282-283.112.

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The energe storage system with combination of large-scale grid-connected wind farms will be the developing trend of renewable energy in future. The flow battery has becoming the most potential advanced chemical energy storage technology among the storage method. This paper is mainly introducing about the work principle, characteristics and structure of the VRB system. Futhermore, the control mechanism of the power quality and stability used in wind farm connected to power grid by battery energy storage is illustrated in the end of paper.

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Abdulai, Nurideen, Leslie Donkor, and Dennis Asare. "Application of GIS and Remote Sensing in Determining Trends in Wind Energy Potential and Its Uses for Designing Development Strategies in Ghana." Applied Research Journal of Environmental Engineering 3, no. 3 (December 31, 2020): 1–10. http://dx.doi.org/10.47721/arjee202003021.

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This paper is purported to determine the wind energy potential of Ghana for 2010 and 2018 using GIS and RS technologies and how the result could be used to develop a country strategy that benefits the ordinary Ghanaian. In doing this, two different wind potential maps of Ghana were generated for 2010 and 2018 using data from Ghana meteorological Unit and Windfinder respectively. Moreover, the Inverse Distance Weighted interpolation of winds peed was used to generate the maps at different hub heights for 2010 and 2018. The results indicate that, the 2010 wind map showed wind speed is highest (8m/s) in the southernmost part of Ghana (i.e. Coastal part of Greater Accra and Volta Regions) at 10m high while the wind map of 2018 showed that wind speed is highest (9m/s) in the Upper East Region of Ghana at 10m high. As wind energy is untapped in Ghana, we advised that Government should further explore the results for the Upper East Region in ascertaining that it was not influenced by Trade winds and apply to different sectors of the economy through appropriate institutional regulations. The wind energy in Northern Ghana should be dedicated to mechanized agriculture, augmenting electricity tariffs for the poor in those areas and extending electricity to rural communities that do not have access to the national grid under the rural electrification project. Meanwhile, the wind energy generated from the southern part of Ghana should be dedicated mostly to commercial and industrial activities. Keywords: Wind Energy Potential, mechanized agriculture, industrial application, GIS, RS

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Behabtu, Henok Ayele, Maarten Messagie, Thierry Coosemans, Maitane Berecibar, Kinde Anlay Fante, Abraham Alem Kebede, and Joeri Van Mierlo. "A Review of Energy Storage Technologies’ Application Potentials in Renewable Energy Sources Grid Integration." Sustainability 12, no. 24 (December 15, 2020): 10511. http://dx.doi.org/10.3390/su122410511.

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Renewable energy sources (RESs) such as wind and solar are frequently hit by fluctuations due to, for example, insufficient wind or sunshine. Energy storage technologies (ESTs) mitigate the problem by storing excess energy generated and then making it accessible on demand. While there are various EST studies, the literature remains isolated and dated. The comparison of the characteristics of ESTs and their potential applications is also short. This paper fills this gap. Using selected criteria, it identifies key ESTs and provides an updated review of the literature on ESTs and their application potential to the renewable energy sector. The critical review shows a high potential application for Li-ion batteries and most fit to mitigate the fluctuation of RESs in utility grid integration sector. However, for Li-ion batteries to be fully adopted in the RESs utility grid integration, their cost needs to be reduced.

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Faccio, Maurizio, Mauro Gamberi, Marco Bortolini, and Mojtaba Nedaei. "Techno-economic design of wind farms: a multi-scenario cost-based application." Environmental Research, Engineering and Management 75, no. 4 (December 20, 2019): 6–17. http://dx.doi.org/10.5755/j01.erem.75.4.23006.

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Wind is a clean source of energy which is spread over wide globe regions. This natural source of energy encourages the planners and stakeholders establishing investments towards installation of wind farms. Wind energy experts are looking through efficient alternatives for the best utilization of the wind energy. Design of wind farms is a fundamental stage of wind energy projects. This study aims to address this issue by considering wind farm design to reduce the levelized cost of the generated wind energy. In the first part of the paper, an analysis of previous research works is carried out to find the latest advancements concerning the design of the wind farm layouts. In the next step, a real application, geo-located in Iran, investigates the effect of different layouts for the wind turbines. A cost approach based on the NPV and the LCOE is used. The results show the optimum positioning of the wind turbines within the site to minimize interferences among the blades maximizing the economic return on the investment.

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R, Sitharthan, Yuvaraj S, Sanjeevikumar Padmanabhan, Jens Bo Holm‐Nielsen, Sujith M, Rajesh M, Prabaharan N, and vengatesan K. "Piezoelectric energy harvester converting wind aerodynamic energy into electrical energy for microelectronic application." IET Renewable Power Generation 15, no. 9 (February 23, 2021): 1968–75. http://dx.doi.org/10.1049/rpg2.12119.

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Wang, Yunlong, Xin Zhang, Shaochuan Lin, Zhaoxin Qiang, Jinfeng Hao, and Yan Qiu. "Analysis on the Development of Wind-assisted Ship Propulsion Technology and Contribution to Emission Reduction." IOP Conference Series: Earth and Environmental Science 966, no. 1 (January 1, 2022): 012012. http://dx.doi.org/10.1088/1755-1315/966/1/012012.

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Abstract With the issue of peaking carbon dioxide emissions and carbon neutrality increasingly becoming the forefront of international public opinion, changes in the shipping industry are imminent and destined to cause long-term transformation across the entire industry chain, from ship design to maritime operations. Wind energy as a clean energy source has attracted the increasing attention of experts in the shipping field. This paper summarizes the application and development of wind-aided navigation technology for ships represented by rotors, towing kites, wing sails and soft sails, and analyses the constraints of wind-aided navigation technology. The contribution to emission reduction of typical wind-aided navigation methods such as rotors, towing kites, wing sails and soft sails is summarized. Finally, the development suggestions of wind-assisted ship propulsion (WASP) technology are summarized and proposed, which can provide reference for further research and application of this technology.

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Golecha, K., M. A. Kamoji, S. B. Kedare, and S. V. Prabhu. "Review on Savonius Rotor for Harnessing Wind Energy." Wind Engineering 36, no. 6 (December 2012): 605–45. http://dx.doi.org/10.1260/0309-524x.36.6.605.

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Wind machines convert kinetic energy of the wind into usable form of mechanical energy or electrical energy. The Savonius rotor is a vertical axis wind machine which is simple in design. High starting torque characteristics make it suitable for standalone power generation as well as water pumping applications. This paper reviews the literature on the performance characteristics of the Savonius rotor. Multi-bladed rotor, multistage rotor, shape of the blade, use of deflecting plate, guide vanes and nozzle augmentation are several ways to enhance the performance characteristics. This review would help an engineer in building an improved Savonius rotor for a given application.

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Li, Wei Feng, Su Hua Ma, and Xiao Dong Shen. "Application of Offshore Concrete Constructions for Ocean Renewable Energy Storage (ORES)." Applied Mechanics and Materials 521 (February 2014): 703–6. http://dx.doi.org/10.4028/www.scientific.net/amm.521.703.

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Storage of energy generated by offshore wind farms still addresses one of the vexing problems inherent in offshore renewable energy such as offshore wind or solar energy how to store excess energy. Researchers tried to apply concrete in the energy storage of offshore wind farm recently, including the OTEC artificial energy islands, the MITS Ocean Renewable Energy Storage (ORES) and Belgiums energy atoll, and the progresses were reviewed.

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Manero, Jaume, Javier Béjar, and Ulises Cortés. "“Dust in the Wind...”, Deep Learning Application to Wind Energy Time Series Forecasting." Energies 12, no. 12 (June 21, 2019): 2385. http://dx.doi.org/10.3390/en12122385.

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To balance electricity production and demand, it is required to use different prediction techniques extensively. Renewable energy, due to its intermittency, increases the complexity and uncertainty of forecasting, and the resulting accuracy impacts all the different players acting around the electricity systems around the world like generators, distributors, retailers, or consumers. Wind forecasting can be done under two major approaches, using meteorological numerical prediction models or based on pure time series input. Deep learning is appearing as a new method that can be used for wind energy prediction. This work develops several deep learning architectures and shows their performance when applied to wind time series. The models have been tested with the most extensive wind dataset available, the National Renewable Laboratory Wind Toolkit, a dataset with 126,692 wind points in North America. The architectures designed are based on different approaches, Multi-Layer Perceptron Networks (MLP), Convolutional Networks (CNN), and Recurrent Networks (RNN). These deep learning architectures have been tested to obtain predictions in a 12-h ahead horizon, and the accuracy is measured with the coefficient of determination, the R² method. The application of the models to wind sites evenly distributed in the North America geography allows us to infer several conclusions on the relationships between methods, terrain, and forecasting complexity. The results show differences between the models and confirm the superior capabilities on the use of deep learning techniques for wind speed forecasting from wind time series data.

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马, 玲. "Research on Integrated Energy Application Access of Urban Building Wind and Wind Storage." Journal of Electrical Engineering 08, no. 04 (2020): 150–57. http://dx.doi.org/10.12677/jee.2020.84017.

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Quan, Pham, and Thananchai Leephakpreeda. "Assessment of wind energy potential for selecting wind turbines: An application to Thailand." Sustainable Energy Technologies and Assessments 11 (September 2015): 17–26. http://dx.doi.org/10.1016/j.seta.2015.05.002.

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Li, Gang, Juan Cui, Tingshan Liu, Yongqiu Zheng, Congcong Hao, Xiaojian Hao, and Chenyang Xue. "Triboelectric-Electromagnetic Hybrid Wind-Energy Harvester with a Low Startup Wind Speed in Urban Self-Powered Sensing." Micromachines 14, no. 2 (January 23, 2023): 298. http://dx.doi.org/10.3390/mi14020298.

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Wind energy as a renewable energy source is easily available and widely distributed in cities. However, current wind-energy harvesters are inadequate at capturing energy from low-speed winds in urban areas, thereby limiting their application in distributed self-powered sensor networks. A triboelectric–electromagnetic hybrid harvester with a low startup wind speed (LSWS-TEH) is proposed that also provides output power within a wide range of wind speeds. An engineering-implementable propeller design method is developed to reduce the startup wind speed of the harvester. A mechanical analysis of the aerodynamics of the rotating propeller is performed, and optimal propeller parameter settings are found that greatly improved its aerodynamic torque. By combining the high-voltage output of the triboelectric nanogenerator under low-speed winds with the high-power output of the electromagnetic generator under high-speed winds, the harvester can maintain direct current output over a wide wind-speed range after rectification. Experiments show that the harvester activates at wind speeds as low as 1.2 m/s, powers a sensor with multiple integrated components in 1.7 m/s wind speeds, and drives a Bluetooth temperature and humidity sensor in 2.7 m/s wind speeds. The proposed small, effective, inexpensive hybrid energy harvester provides a promising way for self-powered requirements in smart city settings.

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Sun, Hong Mei, Ming Gao, and Song Lin Nie. "The Application of Hydraulic System in Wind Turbine." Applied Mechanics and Materials 130-134 (October 2011): 630–32. http://dx.doi.org/10.4028/www.scientific.net/amm.130-134.630.

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As the global energy and environmental situation is serious, the wind energy as a clean, renewable energy，is got more and more world attention. Wind power technology is becoming the research focus of many countries. Hydraulic system with its high reliability and fast response characters is widely used in the rotor brake system, yaw brake system, pitch system.

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Ma, Ranqi, Zhongyi Wang, Kai Wang, Haoyang Zhao, Baoshen Jiang, Yize Liu, Hui Xing, and Lianzhong Huang. "Evaluation Method for Energy Saving of Sail-Assisted Ship Based on Wind Resource Analysis of Typical Route." Journal of Marine Science and Engineering 11, no. 4 (April 5, 2023): 789. http://dx.doi.org/10.3390/jmse11040789.

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Sail-assisted technology can reduce greenhouse-gas emissions by saving the energy consumption of ships with wind energy utilization. The distribution characteristics of marine wind resources are critical to the energy-saving effect of sail-assisted ships. However, due to the lack of effective energy-saving evaluation methods for improving the utilization rate of wind energy, a high potential for wind energy utilization still exists. A novel energy-saving evaluation method based on the wind energy resource analysis of typical ship routes is proposed in this paper. First, a three-degree-of-freedom motion model for sail-assisted ships considering the wing sail forces is constructed. Then, a wind resource acquisition and analysis method based on spatial–temporal interpolation is proposed. On this basis, the wind field probability matrix and wing sail force matrix are established. Ultimately, an energy-saving evaluation method for sail-assisted ships on typical routes is proposed by combining the sailing condition of ships. The case study results show that the energy-saving effect of a wing sail-assisted oil tanker that sailed on the China-to-Middle East route was more than 5.37% in 2021 and could reach 9.54% in a single voyage. It is of great significance to realize the popularization and application of sail-assisted technology, thus improving the greenization of the shipping industry.

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Nasiraghdam, Hossein, Morteza Nasiraghdam, and M. Mohammadi M. Mohammadi. "Multi Objective Optimization of Wind Energy Water Pumping System (Wewps) Using Nsgaii Approach for Industry Application." International Journal of Scientific Research 3, no. 8 (June 1, 2012): 85–88. http://dx.doi.org/10.15373/22778179/august2014/27.

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MUGURUZA VELILLA, IGNACIO, ENEKO MOLA SANZ, MARLON GALLO TORRES, AITZOL UGARTEMENDIA ITURRIZAR, GONZALO ABAD BIAIN, and DAVID CABEZUELO ROMERO. "EXPERIMENTAL COMPARATIVE STUDY BETWEEN MPPT, HYBRID P&O AND FUZZY CONTROL FOR A SMALL WIND TURBINE APPLICATION." DYNA ENERGIA Y SOSTENIBILIDAD 10, no. 1 (November 25, 2021): [12 P.]. http://dx.doi.org/10.6036/es10295.

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ABSTRACT This study focuses on a comparison between different maximum power extraction controls for a small wind turbine application. In this case, a vertical axis wind turbine (VAWT) coupled to a permanent magnet synchronous generator (PMSG) is used. The analysis is performed for variable winds, so that a real small wind turbine application is simulated. An experimental platform and a wind tunnel are used to recreate the different wind profiles. Diverse controls are compared, a "classical" MPPT, a hybrid Perturb & Observe control and a fuzzy control. Artificial intelligence allows the creation of control algorithms that are not bound by the mechanical parameters of the wind turbine, thus avoiding the need to characterize the wind turbine and define the maximum power curve. It is determined that, for almost constant wind profiles, the hybrid Perturb & Observe extracts more energy. However, for the same profile with greater variability, the fuzzy controller extracts more energy.

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Hidalgo Diaz, Victor Hugo, and Ning Chen. "Application of Vortex Process to Cleaner Energy Generation." Applied Mechanics and Materials 71-78 (July 2011): 2196–203. http://dx.doi.org/10.4028/www.scientific.net/amm.71-78.2196.

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The vortex process generated Mechanical energy; this is produced when heat is carried upward by convection in the atmosphere. Processes for controlling and concentrating where the mechanical energy is produced could be a method of harnessing solar energy and the wind movement, but this process it’s more efficient that Wind turbines that these can only produce electricity when the speed of the oncoming wind is within certain limits. The vortex process is compared with the solar chimney phenomenon which shares the same thermodynamic basis. The physical tube of the solar chimney is replaced with a vortex and the atmospheric boundary layer acts as the solar collector. The reasons for this paper its give another option in generation of cleaner energy and also innovating power generation industry. This template explains and demonstrates how to prepare your camera-ready paper for Trans Tech Publications. The best is to read these instructions and follow the outline of this text.

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Liu, Qi Hui, Xiao Ming Wang, and Zhi Yan Li. "The Application of Energy Storage System in Wind Power Integration." Advanced Materials Research 724-725 (August 2013): 630–34. http://dx.doi.org/10.4028/www.scientific.net/amr.724-725.630.

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Briefly introduces the development trend of wind power and the various energy storage technologies in wind power system, include their principles, advantages, disadvantages and development prospects. Challenges for large-scale wind power integration are summarized. With regard to the problems in power quality, stability, economic, low voltage ride-through (LVRT) ability induced by the grid integration of wind power, the recent progress of solutions based on the energy storage technology is discussed, and the advantages and disadvantages of various schemes are analyzed. Based on the existing research achievements and the characteristics of the energy storage technology, some suggestions have been put forward on assure the stability of the electric power grid and power supply quality.

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Kovalnogov, Vladislav N., Ruslan V. Fedorov, Andrei V. Chukalin, Mariya I. Kornilova, Tamara V. Karpukhina, and Anton V. Petrov. "Application of Intelligent and Digital Technologies to the Tasks of Wind Energy." Energies 16, no. 1 (January 1, 2023): 481. http://dx.doi.org/10.3390/en16010481.

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The article considers the relevance and issues of wind turbine modeling, the principles of wind energy conversion (WEC) system operation, working areas and regulation. The influence of soft computing technologies on the different aspects of wind power systems, particularly in the fields of operation and maintenance, is considered. This article discusses the recent research, development and trends in soft computing techniques for wind-energy-conversion systems. For reliable analysis, the interaction of the wind-generator operation with the atmospheric boundary layer is considered. The authors give a detailed description of the approaches for the study and numerical modeling of the atmospheric boundary layer (ABL) in the vicinity of a wind farm. The study of the atmospheric boundary layer in the vicinity of the Ulyanovsk wind farm on the basis of cluster analysis of meteorological data is performed. Ten localizations of ABL homogeneous properties are identified. The subject of the study is the application of the results of cluster analysis to set linguistic variables in fuzzy inference algorithms as well as to adjust the initial conditions in the digital model of a wind generator. The results of cluster analysis made it possible to reasonably construct membership functions for the wind speed value in the fuzzy control algorithm to limit the output power of wind turbines. A simulation of the operation of a three-bladed horizontal type wind turbine for the conditions of one of the resulting clusters is performed, and the main regularities of the flow around the wind turbine are revealed. The results obtained are a valuable source for assessing the mutual influence of wind farms and the environment as well as wind farm site development.

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Yan, Jin, Zhi Tang, Naerduo Mei, Dapeng Zhang, Yinghao Zhong, and Yuxuan Sheng. "Research Progress on the Application of Triboelectric Nanogenerators for Wind Energy Collection." Micromachines 14, no. 8 (August 13, 2023): 1592. http://dx.doi.org/10.3390/mi14081592.

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The escalating global energy demand necessitates the exploration of renewable energy sources, with wind energy emerging as a crucial and widely available resource. With wind energy exhibiting a vast potential of approximately 1010 kw/a per year, about ten times that of global hydroelectric power generation, its efficient conversion and utilization hold the promise of mitigating the pressing energy crisis and replacing the dominant reliance on fossil fuels. In recent years, Triboelectric Nanogenerators (TENGs) have emerged as novel and efficient means of capturing wind energy. This paper provides a comprehensive summary of the fundamental principles governing four basic working modes of TENGs, elucidating the structures and operational mechanisms of various models employed in wind energy harvesting. Furthermore, it highlights the significance of two major TENG configurations, namely, the vertical touch-separation pattern structure and the independent layer pattern for wind energy collection, emphasizing their respective advantages. Furthermore, the study briefly discusses the current strengths of nano-friction power generation in wind energy harvesting while acknowledging the existing challenges pertaining to device design, durability, operation, and maintenance. The review concludes by presenting potential research directions and prospects for triboelectric nanogenerators generation in the realm of wind energy, offering valuable insights for researchers and scholars in the field.

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Olaofe, Zaccheus O. "Application of neural network to wind energy conversion systems." International Journal of Renewable Energy Technology 4, no. 3 (2013): 265. http://dx.doi.org/10.1504/ijret.2013.054758.

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Ghofrani, M., A. Arabali, M. Etezadi-Amoli, and M. S. Fadali. "Energy Storage Application for Performance Enhancement of Wind Integration." IEEE Transactions on Power Systems 28, no. 4 (November 2013): 4803–11. http://dx.doi.org/10.1109/tpwrs.2013.2274076.

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Journal articles on the topic 'WIND ENERGY APPLICATION'

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