Relevant bibliographies by topics / Modern wind turbine

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Modern wind turbine'

Author: Grafiati
Published: 4 June 2021
Last updated: 2 February 2022

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Journal articles on the topic "Modern wind turbine"

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Dunlop, John. "Modern Wind Power Plant in Minnesota." Journal of Solar Energy Engineering 123, no. 3 (December 1, 2000): 179. http://dx.doi.org/10.1115/1.1374207.

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Wind on Minnesota’s southwestern prairie supplies electricity to Minneapolis and St. Paul. At the time this 143-wind turbine, 107 MW project was brought on line in 1998, it was the largest in the U.S. It was superceded by a project in Iowa that began operating in June of 1999. The turbine blades are 50 meters in diameter and mounted on towers 50 meters high. Each 750 kW turbine generates enough electricity for 260 homes. The 143 turbines are expected to produce about 300 GWhr of electricity per year. Minnesota has led the nation in new wind power installations over the past decade, followed closely by Iowa. California still has the largest installed capacity of any state due to the installation of numerous projects in the early 1980s.
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Xin, Hai Sheng, Hai Jun Yue, and Qiao Li Han. "Study on Noise Characteristics of Concentrated Wind Energy Turbine." Advanced Materials Research 512-515 (May 2012): 778–81. http://dx.doi.org/10.4028/www.scientific.net/amr.512-515.778.

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Different types of wind turbine generate different noises in normal condition. A comparison of noises from local spot by means of modern acoustic measurement is carried out between 300W concentrated wind energy turbine and ordinary wind energy turbine, and conclusion is that the noises from the concentrated wind energy turbine are lower than that from the ordinary one. Besides, the main noises are from turbine blades and increase with the wind speed on both turbines.
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Oudah, Ali, Izzeldin I. Mohd, and A. Hameed. "Modern Control Techniques in Wind Turbine." International Journal of Hybrid Information Technology 7, no. 4 (July 31, 2014): 101–22. http://dx.doi.org/10.14257/ijhit.2014.7.4.10.

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Margaris, Ioannis D., Anca D. Hansen, Poul Sørensen, and Nikolaos D. Hatziargyriou. "Illustration of Modern Wind Turbine Ancillary Services." Energies 3, no. 6 (June 21, 2010): 1290–302. http://dx.doi.org/10.3390/en3061290.

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Balat, M. "A Review of Modern Wind Turbine Technology." Energy Sources, Part A: Recovery, Utilization, and Environmental Effects 31, no. 17 (October 9, 2009): 1561–72. http://dx.doi.org/10.1080/15567030802094045.

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Sunder Selwyn, T., and R. Kesavan. "Reliability Analysis of Sub Assemblies for Wind Turbine at High Uncertain Wind." Advanced Materials Research 433-440 (January 2012): 1121–25. http://dx.doi.org/10.4028/www.scientific.net/amr.433-440.1121.

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The wind energy plays a vital role in the world renewable energy scenario. The modern wind turbine system has a complex and repairable components due to sophistication and centralized control. The failure characteristics of the onshore wind turbines depend on the terrain conditions. In the main mountain pass and hill area, there is a heavy uncertainty in the wind that is due to the frequent change in the direction of wind and the change in the velocity. It causes a rapid failure in the individual sub assemblies. There is a substantial need for improving the reliability in the stages of design, manufacturing, operation and maintenance. Normally the infant mortality failures are more in the onshore wind turbine and the failure rate is constant during normal operating period. It is a surprise that the failure rate has rapidly increased during normal operating period of the wind turbines placed exactly in the mountain pass and hilly area due to the high uncertainty in the wind. This paper deals with reliability analysis of major components of wind turbine system and its sub system such as rotor system, gear box, brake system, generator, hydraulic system and yaw system. This paper also investigates the reliability of wind turbines and its sub assemblies placed at Aramboly pass in India by using Weibull software as reliability tool for a grid connected 250 kW wind turbine. This analysis yields some surprising results about some sub assembly like yaw system, brake system and generator which are most unreliable.
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Papi, Francesco, Lorenzo Cappugi, Simone Salvadori, Mauro Carnevale, and Alessandro Bianchini. "Uncertainty Quantification of the Effects of Blade Damage on the Actual Energy Production of Modern Wind Turbines." Energies 13, no. 15 (July 23, 2020): 3785. http://dx.doi.org/10.3390/en13153785.

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Wind turbine blade deterioration issues have come to the attention of researchers and manufacturers due to the relevant impact they can have on the actual annual energy production (AEP). Research has shown how after prolonged exposure to hail, rain, insects or other abrasive particles, the outer surface of wind turbine blades deteriorates. This leads to increased surface roughness and material loss. The trailing edge (TE) of the blade is also often damaged during assembly and transportation according to industry veterans. This study aims at investigating the loss of AEP and efficiency of modern multi-MW wind turbines due to such issues using uncertainty quantification. Such an approach is justified by the stochastic and widely different environmental conditions in which wind turbines are installed. These cause uncertainties regarding the blade’s conditions. To this end, the test case selected for the study is the DTU 10 MW reference wind turbine (RWT), a modern reference turbine with a rated power of 10 MW. Blade damage is modelled through shape modification of the turbine’s airfoils. This is done with a purposely developed numerical tool. Lift and drag coefficients for the damaged airfoils are calculated using computational fluid dynamics. The resulting lift and drag coefficients are used in an aero-servo-elastic model of the wind turbine using NREL’s code OpenFAST. An arbitrary polynomial chaos expansion method is used to estimate the probability distributions of AEP and power output of the model when blade damage is present. Average AEP losses of around 1% are predicted mainly due to leading-edge blade damage. Results show that the proposed method is able to account for the uncertainties and to give more meaningful information with respect to the simulation of a single test case.
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Castellani, Francesco, Luigi Garibaldi, Alessandro Paolo Daga, Davide Astolfi, and Francesco Natili. "Diagnosis of Faulty Wind Turbine Bearings Using Tower Vibration Measurements." Energies 13, no. 6 (March 20, 2020): 1474. http://dx.doi.org/10.3390/en13061474.

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Condition monitoring of gear-based mechanical systems in non-stationary operation conditions is in general very challenging. This issue is particularly important for wind energy technology because most of the modern wind turbines are geared and gearbox damages account for at least the 20% of their unavailability time. In this work, a new method for the diagnosis of drive-train bearings damages is proposed: the general idea is that vibrations are measured at the tower instead of at the gearbox. This implies that measurements can be performed without impacting the wind turbine operation. The test case considered in this work is a wind farm owned by the Renvico company, featuring six wind turbines with 2 MW of rated power each. A measurement campaign has been conducted in winter 2019 and vibration measurements have been acquired at five wind turbines in the farm. The rationale for this choice is that, when the measurements have been acquired, three wind turbines were healthy, one wind turbine had recently recovered from a planetary bearing fault, and one wind turbine was undergoing a high speed shaft bearing fault. The healthy wind turbines are selected as references and the damaged and recovered are selected as targets: vibration measurements are processed through a multivariate Novelty Detection algorithm in the feature space, with the objective of distinguishing the target wind turbines with respect to the reference ones. The application of this algorithm is justified by univariate statistical tests on the selected time-domain features and by a visual inspection of the data set via Principal Component Analysis. Finally, a novelty index based on the Mahalanobis distance is used to detect the anomalous conditions at the damaged wind turbine. The main result of the study is that the statistical novelty of the damaged wind turbine data set arises clearly, and this supports that the proposed measurement and processing methods are promising for wind turbine condition monitoring.
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Kim, Hyungyu, Kwansu Kim, Carlo Bottasso, Filippo Campagnolo, and Insu Paek. "Wind Turbine Wake Characterization for Improvement of the Ainslie Eddy Viscosity Wake Model." Energies 11, no. 10 (October 19, 2018): 2823. http://dx.doi.org/10.3390/en11102823.

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This paper presents a modified version of the Ainslie eddy viscosity wake model and its accuracy by comparing it with selected exiting wake models and wind tunnel test results. The wind tunnel test was performed using a 1.9 m rotor diameter wind turbine model operating at a tip speed ratio similar to that of modern megawatt wind turbines. The control algorithms for blade pitch and generator torque used for below and above rated wind speed regions similar to those for multi-MW wind turbines were applied to the scaled wind turbine model. In order to characterize the influence of the wind turbine operating conditions on the wake, the wind turbine model was tested in both below and above rated wind speed regions at which the thrust coefficients of the rotor varied. The correction of the Ainslie eddy viscosity wake model was made by modifying the empirical equation of the original model using the wind tunnel test results with the Nelder-Mead simplex method for function minimization. The wake prediction accuracy of the modified wake model in terms of wind speed deficit was found to be improved by up to 6% compared to that of the original model. Comparisons with other existing wake models are also made in detail.
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Dickler, Sebastian, Thorben Wintermeyer-Kallen, János Zierath, Reik Bockhahn, Dirk Machost, Thomas Konrad, and Dirk Abel. "Full-scale field test of a model predictive control system for a 3 MW wind turbine." Forschung im Ingenieurwesen 85, no. 2 (April 9, 2021): 313–23. http://dx.doi.org/10.1007/s10010-021-00467-w.

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AbstractModel predictive control (MPC) is a strong candidate for modern wind turbine control. While the design of model predictive wind turbine controllers in simulations has been extensively investigated in academic studies, the application of these controllers to real wind turbines reveals open research challenges. In this work, we focus on the validation of a linear time-variant MPC system for a 3 MW wind turbine in a full-scale field test. First, the study proves the MPC’s capability to control the real wind turbine in the partial load region. Compared to the turbine’s baseline PID controller, the MPC system offers similar results for the electrical power output and for the occurring mechanical loads. Second, the study validates a previously proposed, simulation-based rapid control prototyping process for a systematic MPC development. The systematic development process allows to completely design and parameterize the MPC system in a simulative environment independent of the real wind turbine. Through the rapid control prototyping process, the MPC commissioning in the wind turbine’s programmable logic controller can be realized within a few hours without any modifications required in the field. Thus, this study establishes the proof of concept for a linear time-variant MPC system for a 3 MW wind turbine in a full-scale field test and bridges the gap between the control design and field testing of MPC systems for wind turbines in the multi-megawatt range.
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Dissertations / Theses on the topic "Modern wind turbine"

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Chromec, Tomáš. "Aerodynamický návrh větrné turbíny pro zvolenou lokalitu." Master's thesis, Vysoké učení technické v Brně. Fakulta strojního inženýrství, 2014. http://www.nusl.cz/ntk/nusl-231651.

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This master‘s thesis focuses on wind turbines. The first part describes the basic attributes of wind energy and wind turbines and is accompanied by a many images. The next section is a statistical processing of measured meteorological data from measuring stations of the Czech Hydrometeorological Institute. These data are then used for calculations of the blades of wind turbines. The calculations are carried by two different methods. The first method is called the blade element momentum theory, the second method is the theory of blade cascade. Using these methods are obtained by two different blades. The last section compares the two blades in terms of geometric and performance.
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Alnajjar, Mohammed [Verfasser]. "Control of Electrical Power Generation and Conversion on Aircraft and in Modern Wind Turbine / Mohammed Alnajjar." Aachen : Shaker, 2016. http://d-nb.info/1122545525/34.

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Corrêa, Leonardo Candido. "Emulação dos regimes permante e transitório das turbinas de eixo horizontal incluindo o modelo estático da turbina magnus." Universidade Federal de Santa Maria, 2014. http://repositorio.ufsm.br/handle/1/8552.

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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior
The lodgment of wind sites is in a visible growing demand not only in Brazil, but all over the world. The wind energy, even though consolidated, still hosts many scientific researches and industrial development in several areas such as control, power converter topologies and stability of grid connected wind turbines (WT). Due to the remarkable development of this technology in the market and the wind seasonality characteristics, it is difficult to study this power source in its operation field. Thus, a controlled environment for testing is desirable. This dissertation presents a topology of horizontal axis wind turbines (HAWT) emulator using a DC motor to provide an electrical generator the same torque that it would if it was driven by a typical WT. In addition to the static model, represented by the pitch angle and power coefficient, a dynamic model of HAWT is proposed in order to improve the representation of real turbines in the field, which allows characterizing the effect of wind shear, towering shadowing and turbine yaw. Furthermore, it permits emulating large inertia machines through smaller engines, by changing the torque imposed on the generator. The appealing motivation in this thesis is that the Magnus turbine emulation includes a relative new type of wind machine that possesses rotating cylinders instead of the traditional propeller blades in traditional HAWT. It is shown how these cylinders increase the available torque, then producing useful power even at lower wind speeds. Simulated and experimental results to evaluate the performance of the wind turbine emulator are presented. Both turbines are analyzed with and without MPPT. Finally the conclusions of this work are presented as well as new proposals for future works.
A instalação de parques eólicos tem se expandido não só no mundo, mas também no Brasil. A energia eólica, apesar de ser já bastante consolidada, ainda é palco para muitos trabalhos científicos e pesquisas na indústria nas áreas de controle, topologias de conversores de potência e estabilidade na conexão de aerogeradores com a rede. Devido a este fato junto com a sazonalidade do vento, torna-se difícil estudar esse tipo de fonte em seu âmbito de operação, sendo assim desejável um ambiente controlado para testes. Esta dissertação apresenta uma topologia para emulação de turbinas de eixo horizontal (HAWT) utilizando um motor de corrente contínua para acionar geradores com o mesmo torque que haveria caso estivessem acoplados a uma turbina real. Para melhor verossimilhança com as turbinas em campo, além do modelo estático composto pelo ângulo de passo das pás e o coeficiente de potência, propõe-se um modelo dinâmico para representar o efeito cortante do vento, o sombreamento da torre e o direcionamento da turbina em relação ao vento. Além do mais, o modelo proposto permite também a emulação de máquinas de grande inércia usando motores de menor porte, pela simples alteração do torque imposto ao gerador. O diferencial nesta dissertação consiste na possibilidade de emulação da turbina Magnus, que é um aerogerador que possui cilindros girantes no lugar das tradicionais pás presentes nas HAWT, que aumentam o torque disponível. Com isto, pode-se mostrar como a turbina Magnus pode gerar maior potência em baixas velocidades vento. São apresentados então os resultados simulados e experimentais avaliando o comportamento completo do emulador de turbinas eólicas. Ambas as turbinas são analisadas com e sem MPPT. Finalmente, são mostradas as conclusões do trabalho e as propostas para futuros trabalhos.
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Fernando, Mahamarakkalage Saman Udaya Kumar. "On the performance and wake aerodynamics of the Savonius wind turbine." Thesis, University of British Columbia, 1987. http://hdl.handle.net/2429/27299.

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The objective of the thesis is to establish methodology for development of a wind turbine, simple in design and easy to maintain, for possible application in developing countries. To that end the Savonius configuration is analyzed in detail both experimentally and analytically to lay a sound foundation for its performance evaluation. Following a brief review of relevant significant contributions in the field (Chapter I), an extensive wind tunnel test-program using scale models is described which assesses the relative influence of system parameters such as blade geometry, gap-size, overlap, aspect ratio, Reynolds number, blockage, etc., on the rotor output. The parametric study leads to an optimum configuration with an increase in efficiency by around 100% compared to the reported efficiency of ≈ 12 — 15%. Of particular interest is the blockage correction procedure which is vital for application of the wind tunnel results to a prototype design, and facilitates comparison of data obtained by investigators using different models and test facilities. With the design and performance results in hand, Chapters III — VI focus attention on analytical approaches to complement the test procedure. Using the concept of a central vortex, substantiated by a flow visualization study, Chapter III develops a semi-empirical approach to predict the rotor performance using measured stationary blade pressure data. The objective here is to provide a simple yet reliable design tool which can replace dynamical testing with a significant saving in time, effort, and cost. The simple approach promises to be quite effective in predicting the rotor performance, even in the presence of blockage, and should prove useful at least in the preliminary design stages. Chapter IV describes in detail a relatively more sophisticated and rigorous Boundary Element Approach using the Discrete Vortex Model. The method attempts to represent the complex unsteady flow field with separating shear layers in a realistic fashion consistent with the available computational tools. Important steps in the numerical analysis of this challenging problem are discussed at some length in Chapter V and a performance evaluation algorithm established. Of considerable importance is the effect of computational parameters such as number of elements representing the rotor blade, time-step size, location of the nascent vortices, etc., on the accuracy of results and the associated cost. Results obtained using the Discrete Vortex Model are presented and discussed in Chapter VI, for both stationary as well as rotating Savonius configurations. A detailed parametric study provides fundamental information concerning the starting and dynamic torque time histories, power coefficient, evolution of the wake, Strouhal number, etc. A comparison with the flow visualization and wind tunnel test data (Chapter II) shows remarkable correlation suggesting considerable promise for the approach. The thesis ends with concluding remarks and a few suggestions concerning possible future research in the area.
Applied Science, Faculty of
Mechanical Engineering, Department of
Graduate
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Bi, Ran. "Interpretation to wind turbine generator faults and an improved condition monitoring technique based on normal behaviour models for wind turbine generator systems." Thesis, Glasgow Caledonian University, 2016. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.700993.

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Renström, Joakim. "Modelling of ice throws from wind turbines." Thesis, Uppsala universitet, Luft-, vatten och landskapslära, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-251292.

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As the wind energy sector expands into areas with colder climate, the problem with ice throw will increase. Due to a rotor diameter of more than 120 meters for a typical modern turbine with an effect of 3.3 MW, the separated ice fragment will get a high initial velocity, and therefore, they will also be thrown a long distance. Ice throw might therefore be a large safety risk for the people, who are staying in surrounding areas to wind turbines. A ballistic ice throw model has been developed to be able to investigate how far the ice fragments can be thrown from a wind turbine. The work was divided into two parts, one sensitivity analysis and one real case study. In the sensitivity analysis, the influence of eight important parameters was investigated. The results from this part show that changes in the parameters initial radius and angle position, and mass and shape of the ice fragments have a significant influence on the throwing distance both lateral and downwind. The wind speed has only a significant influence on the downwind throwing distance, but this is quite large. A maximum throwing distance of 239 meters downwind the wind turbine was achieved with U=20 m/s, r=55 m and θ=45°. While including the lift force, a maximum downwind distance of 350 meter was achieved. However, the uncertainties about the shape of the ice fragment make these results quite uncertain. In the real case study, ice throws were simulated by letting the ice throw model run with modeled meteorological data for a wind farm in northern Sweden. The wind farm consists of 60 wind turbines, and the probability for that an ice fragment will land in a square of 1*1m was calculated around each turbine. To be able to calculate this probability, a Monte Carlo analysis was necessary in which a large number of ice fragments were separated. The result shows a large correlation between the landing positions of the ice fragments and the wind direction. Due to the fact that the wind farm is located in a complex terrain, the shape and density of the probability field vary among different parts of the farm. Especially in the southern part of the wind farm, the probability field will have the highest density and largest extension to the northeast of the turbines due to a prevailing wind direction during ice throw events from southwest.
När vindkraftssektorn expanderar till områden med ett kallare klimat, kommer problemet med nedisade vindkraftverk och iskast att öka. Moderna vindkraftverk kan ha en typisk effekt på 3.3 MW och en rotordiameter på över 120 meter, vilket resulterar i att de ivägkastade isbitarna skulle kunna få en initialhastighet på 90 m/s. Det skulle även resultera i att isbitarna kastas iväg en lång sträcka från kraftverket, vilket i kombination med den höga initialhastigheten skulle kunna bli en stor säkerhetsrisk för de personer som vistas i områdena närmast runt vindkraftverken. En ballisisk iskastmodel utvecklades för att beräkna hur långt från vinkraftverket isbitarna kan kastas. Arbetet delades upp i två delar, en känslighetsanalys och en verklig fallstudie. I känslighetsanalysen undersöktes åtta viktiga parametrars inflytande på iskastet. Resultatet från den visar på att ändringar i parametrarna isbitens massa och form samt seperations positionen på bladet och bladets vinkel hade störst inverkan på kastlängden. En maximal kastlängd nedströms vindkraftverket på 239 meter erhölls för U=20m/s, θ=45° och r=55m. När lyftkraften inkluderades ökade kastlängden nedströms till 350 meter, dock är osäkerheten i isbitarnas form stor, vilket gör dessa resultat osäkra. I den verkliga fallstudien simulerades iskast genom att iskastmodellen kördes med modellerad meteorologisk data från en vindkraftspark i norra Svergie. Vinkraftsparken innehöll 60 turbiner och sannolikheten för att en isbit ska landa i en ruta på 1*1m beräknades runt varje turbin. För att kunna beräkna sannolikheten användes en Monte Carlo analys där ett stort antal isbitar skickades iväg. Resultatet visade på att korrelationen var stor mellan sannolikheten för att en isbit ska landa i en ruta på 1 m² och vindriktningen. Eftersom vindkraftsparken var belägen i ett område med en komplex terräng varierade formen och intensiteten på sannolikhetsområdena mellan olika delar av parken. Speciellt i parkens södra del är sannolikhetsområdet för vindkraftsverken mer utbrett i nordostlig riktning på grund av att sydvästliga vindar är vanligast då iskast förekommer.
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Kazlova, Ala, and Bettina Ullmann. "When Wind Goes Vertical: : Can a start-up company make use of its born global potential to revolutionize the wind turbine industry?" Thesis, Linnéuniversitetet, Ekonomihögskolan, ELNU, 2010. http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-6605.

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The 21st century would be a nightmare for Don Quijote: thousands of windmills are installed all over the globe and the number will increase tremendously over the next years. If climate change was an issue in the early 17th century, Don Quijote might have specialized in fighting nuclear or fossil fuel power plants. The change in power production is clearly pronounced, and it inspires the market to respond immediately. Numerous wind turbine manufacturers emerge, developing one technological innovation after another. The trend clearly goes in one direction: horizontal axis wind turbines in all possible variations. However, there are a few companies that do not follow the mainstream – they swim against the current and introduce new concepts, with the potential to set new standards in the industry. Nevertheless, the question whether these companies can establish operations and survive in an industry dominated by large multinational corporations arises. If these companies want to become recognized, they need to compete on an international scale from the outset – they become born globals. This master’s thesis investigates the preconditions under which an innovative start-up company can become born global in the wind turbine industry. For that, distinctive resources and capabilities of such companies, as well as key success factors for the industry are defined. Furthermore, enhancing or restricting parameters lying within company’s environment – in particular, within its networks – are discovered. These findings are based on and supported by the case study of an innovative vertical axis wind turbine manufacturer. In addition, the influence of this company’s university spin-off origin is investigated.
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Werngren, Simon. "Comparison of different machine learning models for wind turbine power predictions." Thesis, Uppsala universitet, Avdelningen för systemteknik, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-362332.

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The goal of this project is to compare different machine learning algorithms ability to predict wind power output 48 hours in advance from earlier power data and meteorological wind speed predictions. Three different models were tested, two autoregressive integrated moving average (ARIMA) models one with exogenous regressors one without and one simple LSTM neural net model. It was found that the ARIMA model with exogenous regressors was the most accurate while also beingrelatively easy to interpret and at 1h 45min 32s had a comparatively short training time. The LSTM was less accurate, harder to interpretand took 14h 3min 5s to train. However the LSTM only took 32.7s to create predictions once the model was trained compared to the 33min13.7s it took for the ARIMA model with exogenous regressors to deploy.Because of this fast deployment time the LSTM might be preferable in certain situations. The ARIMA model without exogenous regressors was significantly less accurate than the other two without significantly improving on the other ARIMA model in any way
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Bolin, Karl. "Wind Turbine Noise and Natural Sounds : Masking, Propagation and Modeling." Doctoral thesis, KTH, MWL Marcus Wallenberg Laboratoriet, 2009. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-10434.

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Wind turbines are an environmentally friendly and sustainable power source. Unfortunately, the noise impact can cause deteriorated living conditions for nearby residents. The audibility of wind turbine sound is influenced by ambient sound. This thesis deals with some aspects of noise from wind turbines. Ambient sounds influence the audibility of wind turbine noise. Models for assessing two commonly occurring natural ambient sounds namely vegetation sound and sound from breaking waves are presented in paper A and B. A sound propagation algorithm has been compared to long range measurementsof sound propagation in paper C. Psycho-acoustic tests evaluating the threshold and partial loudness of wind turbine noise when mixed with natural ambient sounds have been performed. These are accounted for in paper D. The main scientific contributions are the following.Paper A: A semi-empiric prediction model for vegetation sound is proposed. This model uses up-to-date simulations of wind profiles and turbulent wind fields to estimate sound from vegetation. The fluctuations due to turbulence are satisfactory estimated by the model. Predictions of vegetation sound also show good agreement to measured spectra. Paper B: A set of measurements of air-borne sound from breaking waves are reported. From these measurements a prediction method of sound from breaking waves is proposed. Third octave spectra from breaking waves are shown to depend on breaker type. Satisfactory agreement between predictions and measurements has been achieved. Paper C: Long range sound propagation over a sea surface was investigated. Measurements of sound transmission were coordinated with local meteorological measurements. A sound propagation algorithm has been compared to the measured sound transmission. Satisfactory agreement between measurements and predictions were achieved when turbulence were taken into consideration in the computations. Paper D: The paper investigates the interaction between wind turbine noise and natural ambient noise. Two loudness models overestimate the masking from two psychoacoustic tests. The wind turbine noise is completely concealed when the ambient sound level (A-weighed) is around 10 dB higher than the wind turbine noise level. Wind turbine noise and ambient noise were presented simultaneously at the same A-weighed sound level. The subjects then perceived the loudness of the wind turbine noise as 5 dB lower than if heard alone. Keywords: Wind turbine noise, masking, ambient noise, long range sound propagation
QC 20100705
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Carpenter, Laura E. "The Design and Experimental Investigation of Novel Double-blade Wind Turbine Models Inspired by Houck's Concept." Wright State University / OhioLINK, 2016. http://rave.ohiolink.edu/etdc/view?acc_num=wright1482494647404864.

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Books on the topic "Modern wind turbine"

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Klein, William E. Model 0A wind turbine generator FMEA. [Washington, D.C: National Aeronautics and Space Administration, 1989.

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Muyeen, S. M. Stability augmentation of a grid-connected wind farm. London: Springer, 2009.

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Muyeen, S. M. Stability augmentation of a grid-connected wind farm. London: Springer, 2009.

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Doubly fed induction machine: Modeling and control for wind energy generation applications. Hoboken, NJ: IEEE Press, 2011.

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R, Lalli Vincent, United States. National Aeronautics and Space Administration., and United States. Dept. of Energy. Wind/Ocean Technologies Division., eds. Model 0A wind turbine generator FMEA. [Washington, D.C: National Aeronautics and Space Administration, 1989.

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Chen, Zhe, and Frede Blaabjerg. Power Electronics for Modern Wind Turbines (Synthesis Lectures on Power Electronics). Morgan & Claypool Publishers, 2006.

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Lubosny, Zbigniew. Wind Turbine Operation in Electric Power Systems: Advanced Modeling. Springer Berlin Heidelberg, 2010.

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Wind Turbine Operation in Electric Power Systems: Advanced Modeling (Power Systems). Springer, 2003.

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Hartin, John R. Evaluation of horizontal axis wind turbine blade loads using unsteady aerodynamics. 1989.

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Sharif-Razi, Ali-Reza. Discrete-time blade pitch control for wind turbine torque regulation with digitally simulated random turbulence excitation. 1986.

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Book chapters on the topic "Modern wind turbine"

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Zhao, Haoran, and Qiuwei Wu. "Clustering-based Wind Turbine Generator Model Linearization." In Modeling and Modern Control of Wind Power, 117–32. Chichester, UK: John Wiley & Sons, Ltd, 2017. http://dx.doi.org/10.1002/9781119236382.ch6.

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Chi, Yongning, Chao Liu, Xinshou Tian, Lei Shi, and Haiyan Tang. "Modeling of Full-scale Converter Wind Turbine Generator." In Modeling and Modern Control of Wind Power, 85–115. Chichester, UK: John Wiley & Sons, Ltd, 2017. http://dx.doi.org/10.1002/9781119236382.ch5.

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Kanaby, Gary. "Manufacturing Challenges for the Modern Wind Turbine Rotor." In Experimental Mechanics on Emerging Energy Systems and Materials, Volume 5, 129–47. New York, NY: Springer New York, 2011. http://dx.doi.org/10.1007/978-1-4419-9798-2_17.

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Poljak, D., and D. Čavka. "Electromagnetic Compatibility Aspects of Wind Turbine Analysis and Design." In Properties and Characterization of Modern Materials, 345–69. Singapore: Springer Singapore, 2016. http://dx.doi.org/10.1007/978-981-10-1602-8_29.

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Baloh, Robert W., and Robert E. Bartholomew. "Modern-Day Acoustical Scares: From ‘The Hum’ to ‘Wind Turbine Syndrome’." In Havana Syndrome, 107–27. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-40746-9_7.

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Slew, K. Lee, M. Miller, A. Fereidooni, P. Tawagi, G. El-Hage, M. Hou, and E. Matida. "A Dual-Rotor Horizontal Axis Wind Turbine In-House Code (DR_HAWT)." In Mathematical and Computational Approaches in Advancing Modern Science and Engineering, 493–503. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-30379-6_45.

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Kinne, Marko, Ronald Schneider, and Sebastian Thöns. "Reconstructing Stress Resultants in Wind Turbine Towers Based on Strain Measurements." In Lecture Notes in Mechanical Engineering, 224–35. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-77256-7_18.

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AbstractSupport structures of offshore wind turbines are subject to cyclic stresses generated by different time-variant random loadings such as wind, waves, and currents in combination with the excitation by the rotor. In the design phase, the cyclic demand on wind turbine support structure is calculated and forecasted with semi or fully probabilistic engineering models. In some cases, additional cyclic stresses may be induced by construction deviations, unbalanced rotor masses and structural dynamic phenomena such as, for example, the Sommerfeld effect. Both, the significant uncertainties in the design and a validation of absence of unforeseen adverse dynamic phenomena necessitate the employment of measurement systems on the support structures. The quality of the measurements of the cyclic demand on the support structures depends on (a) the precision of the measurement system consisting of sensors, amplifier and data normalization and (b) algorithms for analyzing and converting data to structural health information. This paper presents the probabilistic modelling and analysis of uncertainties in strain measurements performed for the purposes of reconstructing stress resultants in wind turbine towers. It is shown how the uncertainties in the strain measurements affect the uncertainty in the individual components of the reconstructed forces and moments. The analysis identifies the components of the vector of stress resultants that can be reconstructed with sufficient precision.
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Ngouani, M. M. Siewe, Yong Kang Chen, R. Day, and O. David-West. "Low-Speed Aerodynamic Analysis Using Four Different Turbulent Models of Solver of a Wind Turbine Shroud." In Springer Proceedings in Energy, 149–54. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-63916-7_19.

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AbstractThis study presents the effect of four different turbulent models of solver on the aerodynamic analysis of a shroud at wind speed below 6 m/s. The converting shroud uses a combination of a cylindrical case and an inverted circular wing base which captures the wind from a 360° direction. The CFD models used are: the SST (Menter) k-ω model, the Reynolds Stress Transport (RST) model, the Improved Delay Detached Eddies Simulation model (IDDES) SST k-ω model and the Large Eddies Simulation Wall Adaptive model. It was found that all models have predicted a convergent surface pressure. The RST, the IDDES and the WALE LES are the only models which have well described regions of pressure gradient. They have all predicted a pressure difference between the planes (1–5) which shows a movement of the air from the lower plane 1 (inlet) to the higher plane 5 (outlet). The RST and IDDES have predicted better vorticities on the plane 1 (inlet). It was also found that the model RST, IDDES, and WALE LES have captured properly the area of turbulences across the internal region of the case. All models have predicted the point of flow separation. They have also revealed that the IDDES and the WALE LES can capture and model the wake eddies at different planes. Thus, they are the most appropriate for such simulation although demanding in computational power. The movement of air predicted by almost all models could be used to drive a turbine.
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Akhmatov, Vladislav. "Full-Scale Verification of Dynamic Wind Turbine Models." In Wind Power in Power Systems, 603–27. Chichester, UK: John Wiley & Sons, Ltd, 2005. http://dx.doi.org/10.1002/0470012684.ch27.

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Akhmatov, Vladislav. "Full-Scale Verification of Dynamic Wind Turbine Models." In Wind Power in Power Systems, 865–89. Chichester, UK: John Wiley & Sons, Ltd, 2012. http://dx.doi.org/10.1002/9781119941842.ch38.

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Conference papers on the topic "Modern wind turbine"

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Wright, Alan D., and Mark J. Balas. "Design of Modern Controls for the Controlled Advanced Research Turbine (CART)." In ASME 2003 Wind Energy Symposium. ASMEDC, 2003. http://dx.doi.org/10.1115/wind2003-1041.

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Control can improve the performance of wind turbines by enhancing energy capture and reducing dynamic loads. At the National Renewable Energy Laboratory, we are designing control algorithms for regulation of turbine speed and power using state-space control methods. In this paper, we describe the design of a control algorithm for regulation of rotor speed in full-load operation (region 3) for the Controlled Advanced Research Turbine (CART). This turbine is a two-bladed, teetering hub, upwind machine, adapted for testing a variety of control algorithms. We base our control design on simple linear models of a turbine, which contain rotor and generator rotation, drivetrain torsion, rotor flap, and tower fore-aft bending degrees of freedom. We account for wind-speed fluctuations using disturbance accommodating control (DAC). We show the capability of these control schemes to stabilize the modeled turbine modes via pole placement while using state estimation to reduce the required number of turbine measurements. We test these algorithms through simulation, incorporating them into two simulation codes and simulating the controlled system for various operating conditions. Finally, we report conclusions to this work and outline future studies.
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Zahle, Frederik, and Niels Sørensen. "Overset Grid Flow Simulation on a Modern Wind Turbine." In 26th AIAA Applied Aerodynamics Conference. Reston, Virigina: American Institute of Aeronautics and Astronautics, 2008. http://dx.doi.org/10.2514/6.2008-6727.

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Chen, Jincheng, Feng Wang, and Kim A. Stelson. "A Novel Digitalized Hydrostatic Drive Solution for Modern Wind Turbine." In ASME/BATH 2017 Symposium on Fluid Power and Motion Control. American Society of Mechanical Engineers, 2017. http://dx.doi.org/10.1115/fpmc2017-4352.

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Gearbox is a concern in modern wind turbines, increasing the maintenance cost and therefore the cost of energy (COE). A hydrostatic transmission (HST) improves the turbine drivetrain reliability by using slightly compressible mineral oil as the working medium rather than a rigid gearbox. An HST eliminates the power converter since it is a continuous variable transmission (CVT), making the turbine simpler and more cost effective. The turbine operates below the rated wind speed for a considerable time in a year, making the variable hydraulic motor run at partial displacement for the most common configuration of a hydrostatic wind turbine, a fixed displacement pump and a variable displacement motor. This results in low drivetrain efficiency. Moreover, large variable displacement motors for megawatt turbine are commercially unavailable. A digitalized hydrostatic drive for a modern wind turbine is proposed to improve the drivetrain efficiency at low wind speeds. The digital coding method for hydrostatic wind turbine is studied. A dynamic simulation model of the digitalized hydrostatic (dHST) wind turbine has been developed in Simulink. A widely used efficiency model for the hydrostatic pump and motors is used in the simulation to make the study practical. The proposed digitalized hydrostatic solution has been compared with a conventional hydrostatic solution. Simulation results show the benefits of digitalized hydrostatic transmission over conventional hydrostatic transmission in drivetrain efficiency, system complexity and cost.
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Andrzej, Jaderko, and Baran Janusz. "Laboratory setup with squirrel-cage motors for wind turbine emulation." In 2018 Applications of Electromagnetics in Modern Techniques and Medicine (PTZE). IEEE, 2018. http://dx.doi.org/10.1109/ptze.2018.8503145.

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Golnary, Farshad, and Hamed Moradi. "Nonlinear pitch control of a large scale wind turbine by considering aerodynamic behavior of wind." In 2020 9th International Conference on Modern Circuits and Systems Technologies (MOCAST). IEEE, 2020. http://dx.doi.org/10.1109/mocast49295.2020.9200303.

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Reese, Lymon C., and Shin-Tower Wang. "Design of Foundations for a Wind Turbine Employing Modern Principles." In Symposium Honoring Dr. John H. Schmertmann for His Contributions to Civil Engineering at Research to Practice in Geotechnical Engineering Congress 2008. Reston, VA: American Society of Civil Engineers, 2008. http://dx.doi.org/10.1061/40962(325)10.

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Beniuga, Razvan, Oana Beniuga, and Dragos Machidon. "Assessment of DFIG wind turbine overvoltage protection system for grid stability." In 2019 8th International Conference on Modern Power Systems (MPS). IEEE, 2019. http://dx.doi.org/10.1109/mps.2019.8759781.

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Krzysztof, Wrobel, Tomczewski Krzysztof, Sliwinski Artur, and Tomczewski Andrzej. "The Impact of a Wind Turbine Characteristics on the Annual Energy Performance at Given Wind Speed Distribution." In 2018 Applications of Electromagnetics in Modern Techniques and Medicine (PTZE). IEEE, 2018. http://dx.doi.org/10.1109/ptze.2018.8503230.

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Lees, Paul, Leigh Zalusky, Ian Couchman, and Brian Joergensen. "Analysis of modern wind turbine dynamics with active aerodynamic Blown Wing Technology control system." In 2018 Applied Aerodynamics Conference. Reston, Virginia: American Institute of Aeronautics and Astronautics, 2018. http://dx.doi.org/10.2514/6.2018-3825.

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Sayenko, Yuriy, and Andrii Molchan. "Analysis of Wind Turbine Impacts on Power Quality Taking into Account the Variable Nature of Wind Flow." In 2019 IEEE International Conference on Modern Electrical and Energy Systems (MEES). IEEE, 2019. http://dx.doi.org/10.1109/mees.2019.8896487.

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Reports on the topic "Modern wind turbine"

1

Wright, A. D. Modern Control Design for Flexible Wind Turbines. Office of Scientific and Technical Information (OSTI), July 2004. http://dx.doi.org/10.2172/15011696.

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Van Buren, Kendra L., Mark G. Mollineaux, Francois M. Hemez, and Darby J. Luscher. Developing Simplified Models of Wind Turbine Blades. Office of Scientific and Technical Information (OSTI), October 2012. http://dx.doi.org/10.2172/1053548.

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Singh, Mohit, and Surya Santoso. Dynamic Models for Wind Turbines and Wind Power Plants. Office of Scientific and Technical Information (OSTI), October 2011. http://dx.doi.org/10.2172/1028524.

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Fingersh, L., M. Hand, and A. Laxson. Wind Turbine Design Cost and Scaling Model. Office of Scientific and Technical Information (OSTI), December 2006. http://dx.doi.org/10.2172/897434.

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Bortolotti, Pietro, Derek S. Berry, Robynne Murray, Evan Gaertner, Dale S. Jenne, Rick R. Damiani, Garrett E. Barter, and Katherine L. Dykes. A Detailed Wind Turbine Blade Cost Model. Office of Scientific and Technical Information (OSTI), June 2019. http://dx.doi.org/10.2172/1529217.

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Tangler, J., and G. Bir. Evaluation of RCAS Inflow Models for Wind Turbine Analysis. Office of Scientific and Technical Information (OSTI), February 2004. http://dx.doi.org/10.2172/15006904.

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Powell, D. C., and J. R. Connell. Model for simulating rotational data for wind turbine applications. Office of Scientific and Technical Information (OSTI), April 1986. http://dx.doi.org/10.2172/5509076.

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Resor, Brian. Definition of a 5MW/61.5m wind turbine blade reference model. Office of Scientific and Technical Information (OSTI), April 2013. http://dx.doi.org/10.2172/1095962.

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Robert Zavadil, Vadim Zheglov, Yuriy Kazachkov, Bo Gong, Juan Sanchez, and Jun Li. Documentation, User Support, and Verification of Wind Turbine and Plant Models. Office of Scientific and Technical Information (OSTI), September 2012. http://dx.doi.org/10.2172/1051403.

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DeLucia, Dominic. A Parametric Study on Power Variation for Model Wind Turbine Arrays. Portland State University Library, January 2000. http://dx.doi.org/10.15760/etd.1120.

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