Gotowe bibliografie tematyczne / Maximum energy capture

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Gotowa bibliografia na temat „Maximum energy capture”

Autor: Grafiati
Data publikacji: 3 czerwca 2025
Data aktualizacji: 31 lipca 2025

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Artykuły w czasopismach na temat "Maximum energy capture"

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Kusiak, Andrew, and Zhe Song. "Design of wind farm layout for maximum wind energy capture." Renewable Energy 35, no. 3 (2010): 685–94. http://dx.doi.org/10.1016/j.renene.2009.08.019.

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Liu, Ying Ming, En Yong Yi, Xiao Dong Wang, and Hong Fang Xie. "Research on Capture the Maximum Wind Energy Base on Fuzzy PID Controller." Applied Mechanics and Materials 268-270 (December 2012): 1422–25. http://dx.doi.org/10.4028/www.scientific.net/amm.268-270.1422.

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Abstract:This paper studies the control strategy of doubly-fed wind turbine to capture the maximum wind energy.The maximum wind energy capture is a more important part of the wind generation. Due to random fluctuations of the wind speed, to track the maximum power of wind turbine,we need to constantly adjust the speed of the generator, so that the generation run in the optimal tip speed ratio in different wind conditions,in order to achieve maximum power tracking. In this paper, the stator output indirect control the generator speed to achieve maximum wind energy capture,and decoupling control
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El-Khazendar, M. A., and M. M. Ahmed. "A generating wind scheme for maximum energy capture and minimum cost." Renewable Energy 5, no. 1-4 (1994): 709–11. http://dx.doi.org/10.1016/0960-1481(94)90456-1.

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Song, Hai Hui, and De Tian. "Research on Maximum Wind Energy Capturing of DFIG." Advanced Materials Research 605-607 (December 2012): 1360–63. http://dx.doi.org/10.4028/www.scientific.net/amr.605-607.1360.

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The doubly fed induction generator(DFIG) has been widely used in wind power generation system. It can alters speed of the rotor according to change of the wind speed, then contains the maximum tip speed ratio, in order to capture the maximum power from the wind energy. And the output frequency will not chang with the speed of generator. This paper studys the maximum wind energy capturing of DFIG. The theory analysis and simulation results based on MATLAB/Simulink demonstrate this control strategy is convenient and efficient.
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Wu, Shiquan, Lei Huang, Jianlong Yang, et al. "Research on Fourier Coefficient-Based Energy Capture for Direct-Drive Wave Energy Generation System Based on Position Sensorless Disturbance Suppression." Journal of Marine Science and Engineering 12, no. 8 (2024): 1358. http://dx.doi.org/10.3390/jmse12081358.

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In order to improve the energy capture efficiency of direct-drive wave power generation (DDWEG) systems and enhance the robustness of the reference power tracking control, a Fourier coefficient-based energy capture (FCBEC) and a position sensorless disturbance suppression (PSDS) control strategy are proposed. For energy capture, FCBEC is proposed to construct the objective function by maximizing the average power over a period of time and expanding the variables in the Fourier basis when the maximum power is captured, which is used as the basis for obtaining the reference trajectory. To addres
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Song, Hai Hui, and De Tian. "Simulation on Maximum Wind Energy Capturing of DFIG." Applied Mechanics and Materials 260-261 (December 2012): 87–90. http://dx.doi.org/10.4028/www.scientific.net/amm.260-261.87.

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The doubly fed induction generator(DFIG) has been widely used in wind power generation system. It can alters speed of the rotor according to change of the wind speed, then contains the maximum tip speed ratio, in order to capture the maximum power from the wind energy. And the output frequency of the generator keeps constant ,so we call it VSCF. This paper studys simulation on maximum wind energy capturing of DFIG. The theory analysis and simulation results based on MATLAB/Simulink demonstrate this control strategy is convenient and efficient.
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Li, H., K. L. Shi, and P. G. McLaren. "Neural-Network-Based Sensorless Maximum Wind Energy Capture With Compensated Power Coefficient." IEEE Transactions on Industry Applications 41, no. 6 (2005): 1548–56. http://dx.doi.org/10.1109/tia.2005.858282.

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Tian, De, Hai Hui Song, and Wei Long Wang. "Modeling and Real-Time Simulation on Doubly Fed Induction Wind Generator." Applied Mechanics and Materials 423-426 (September 2013): 2123–26. http://dx.doi.org/10.4028/www.scientific.net/amm.423-426.2123.

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The doubly fed induction generator (DFIG) can alter speed of the rotor according to change of the wind speed, then contains the maximum tip speed ratio, in order to capture the maximum power from the wind energy. This paper studys the maximum wind energy capturing of DFIG. The fuzzy controller here is used to control the doubly fed induction wind generator in order to improve the robust of the system. We established a fuzzy control rule according to the maximum power capturing. The fuzzy controller captures the maximum power with generator power output error and generator rotor speed error to
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Lan, Ying, and Jiayu Huang. "Maximum power tracking of wave energy generation system based on improved sparrow search algorithm." Journal of Physics: Conference Series 2993, no. 1 (2025): 012011. https://doi.org/10.1088/1742-6596/2993/1/012011.

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Abstract The sparrow search algorithm (SSA) has emerged as a promising swarm intelligence optimization technique, particularly in the context of maximum power point tracking (MPPT) for wave energy generation systems. It has demonstrated significant potential in optimizing power capture efficiency. Building on this foundation, this paper introduces an enhanced variant of the SSA, termed the Firefly Search Perturbation-based Sparrow Search Algorithm (FSSA). By integrating firefly search perturbation, the proposed FSSA aims to further improve the optimization capabilities of the original SSA. Sim
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Ge, Wei, Shui Ji, Yeqing Jin, Shijie He, Hailong Chen, and Hengxu Liu. "Optimization of Buoy Shape for Wave Energy Converter Based on Particle Swarm Algorithm." Applied Sciences 14, no. 5 (2024): 1889. http://dx.doi.org/10.3390/app14051889.

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In order to improve the wave energy capture rate of the buoy of a wave energy generation device, this paper proposes a multi-degree of freedom method to optimize the shape of the buoy with maximum wave energy capture. Firstly, a multi-degree of freedom wave energy converter was designed, and the buoy shape was defined using a B-spline curve to generate the shape vector; then, a numerical model of the multi-degree of freedom wave energy converter was established and numerical calculations were carried out using AQWA/WEC-Sim software; on this basis, the particle swarm optimization algorithm was
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Rozprawy doktorskie na temat "Maximum energy capture"

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Tsai, Jiun-Jwu, and 蔡珺竹. "Study of Wind Turbine Yaw Control Algorithm Based on Maximum Energy-Captured Evaluation From the Short-Term Wind Power Forecasting." Thesis, 2013. http://ndltd.ncl.edu.tw/handle/65214426340838630157.

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碩士<br>國立交通大學<br>機械工程系所<br>102<br>Based on 2MW large-scale wind turbine platform, this research proposed feed-forward back-propagation neural network (NN) algorithm to predict short-term wind direction and wind speed for calculating the wind energy's variation. The estimation results of maximum power capture as well as the analysis of nacelle veering energy consumption are integrated with the response time of wind turbine yaw operation to derive wind energy gains and losses in order to make the appropriate wind turbine yaw control by predicting short-term wind data and finding out the best yaw
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Ou, Yong-Teng, and 區永騰. "The study of Using LabVIEW to Implement Real-Time Remote Monitoring Maxium Wind Energy Capture Control System of Wind Turbine." Thesis, 2012. http://ndltd.ncl.edu.tw/handle/89986174550750909920.

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碩士<br>國立臺灣海洋大學<br>機械與機電工程學系<br>100<br>Because of the large-scale wind turbine capacity increased dramatically, the demand of efficiency and windward technique relative increased. The wind turbine has nonlinear wind farm, it is difficult to design a mathematic model and set parameters. In this paper, we used two wind speed sensors to real-time monitoring the wind speed and direction of wind turbine. Combined the DataSocket of LabVIEW and USB-4711, the acquired signals transfered to LabVIEW and drive AC servo motor to desirable position. The position control system of AC servo motor, not only ma
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Części książek na temat "Maximum energy capture"

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Jama, Mohammed, Addy Wahyudie, Ali Assi, and Hassan Noura. "Function-Based Model Predictive Control Approach for Maximum Power Capture of Heaving Wave Energy Converters." In ICREGA’14 - Renewable Energy: Generation and Applications. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-05708-8_24.

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Tifroute, Mohamed, and Hassane Bouzahir. "Optimization of Design of Wind Farm Layout for Maximum Wind Energy Capture: A New Constructive Approach." In Innovations in Smart Cities and Applications. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-74500-8_91.

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Mezhov, Alexander, Bright Asante, and Wolfram Schmidt. "Increasing the Incorporation of CO2-Sequestering Materials in Concrete." In Lecture Notes in Civil Engineering. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-69626-8_4.

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AbstractThere are different ways to reduce the CO2 amounts emitted from concrete production, e.g., carbon capture during the cement production, application of low-clinker binders, or changing the structural design strategies to decrease the total consumption of overall materials. Another vital approach is to foster the application of locally available resources, which does not require a significant amount of energy for the production and transport, and which could be used as cementitious materials without compromising the properties of the concrete. Biochar, produced by pyrolysis, is a potenti
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Ahlawat, Priyanka, Mukul Goyal, Rishabh Sethi, and Nitish Gupta. "Fruit Fly Optimization-Based Adversarial Modeling for Securing Wireless Sensor Networks (WSN)." In Advances in Malware and Data-Driven Network Security. IGI Global, 2022. http://dx.doi.org/10.4018/978-1-7998-7789-9.ch012.

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Node capture attack is one of the crucial attacks in wireless sensor networks (WSN) that seizes the node physically and withdraws the confidential data from the node's memory. The chapter exploits the adversarial behavior during a node capture to build an attack model. The authors also propose a fruit fly optimization algorithm (FFOA) that is a multi-objective optimization algorithm that consists of a number of objectives for capturing a node in the network: maximum node contribution, maximum key contributions are some examples of the same. The aim is to demolish the maximum part of the networ
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Prasad, Dharmbir, Rudra Pratap Singh, ­. Tanuja, Ranadip Roy, and Md Irfan Khan. "Green Energy Harvesting for Supply Autonomy of a Tourist Town With Solar and Wind Energy Resources." In Emerging Materials, Technologies, and Solutions for Energy Harvesting. IGI Global, 2024. http://dx.doi.org/10.4018/979-8-3693-2003-7.ch012.

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The accelerating demand for clean and sustainable energy sources has led to increased interest in harnessing solar and wind energy. This study suggested an integrated energy harvesting system consisting of solar and wind resources in the tourist town Manali, Himachal Pradesh. The goal of this system is to make use of the ample amount of sunlight and wind resources available in this area. The solar modules are positioned in such a manner that they capture maximum sunlight across Manali's varying terrains. Simultaneously, wind turbines are located to leverage the region's wind turbine to ensure
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Bray-Ward, Patricia. "FISH probes and labeling techniques." In Fish. Oxford University PressOxford, 2002. http://dx.doi.org/10.1093/oso/9780199638833.003.0002.

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Abstract A Fluor is a chemical moiety that, in response to absorption of a photon of energy provided by a light source with a suitable emission wavelength, develops an excited electron singlet state. This creates a transient conformational change and partial dissipation of the excitation energy. This is followed by emission of a photon of lower energy and therefore longer wavelength. Toe difference in energy or wavelength of excitation and emission is called the Stokes shift. This is a critical element in fluorescence imaging since detection systems must exclude wavelengths of light from the e
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S., Socrates, K. K. Manivannan, A. Krishnakumari, M. Saravanan, M. Shanmugapriya, and M. D. Raj Kamal. "Enhancing Photovoltaic System Performance Using PSO for Maximum Power Point Tracking and DC-Bus Voltage Regulation in Grid-Connected PV Systems." In Advances in Systems Analysis, Software Engineering, and High Performance Computing. IGI Global, 2024. http://dx.doi.org/10.4018/979-8-3693-3314-3.ch017.

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This research presents an integrated approach to enhance the performance of grid-connected photovoltaic (PV) systems by combining sensor-based orientation with the practical swarm optimization (PSO) algorithm for maximum power point tracking (MPPT) and a proportional-integral (PI) controller for DC voltage regulation. Solar positioning and infrared sensors provide real-time data, guiding the dynamic movement of the solar panel. The PSO algorithm optimizes motor movements for efficient MPPT, ensuring the panel aligns with the optimal sun position throughout the day. Simultaneously, the PI contr
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Tran, Quoc Khanh, and Ngoc Thanh Tran. "Investigation and Prediction of Pullout Behavior of Twisted Fibers from Ultra High Strength Concrete." In Advances in Transdisciplinary Engineering. IOS Press, 2024. https://doi.org/10.3233/atde241013.

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This research demonstrates the pullout response of twisted steel fibers from various matrices. The high strength twisted steel fibers, characterized by three twists along their length and a high aspect ratio of 100, were embedded in two types of matrix: high strength concrete (HSC) matrix with a compressive strength of 81 MPa and ultra high strength concrete (UHSC) matrix with a compressive strength of 152 MPa. Moreover, a theoretical model was established to estimate the pullout response of twisted fibers. The experiment results revealed that twisted fibers embedded in the HSC matrix exhibite
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Jenks, Chris. "US Military Prosecutions during Non-International Armed Conflict." In Between Crime and War. Oxford University PressNew York, 2023. http://dx.doi.org/10.1093/oso/9780197638798.003.0018.

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Abstract Through the enactment of the Uniform Code of Military Justice (UCMJ) following World War II, the US codified a requirement that the military was required to prosecute captured enemy belligerents through a process identical in all but name to that used to prosecute its own service members. This equivalency requirement was conditioned on a presidential determination of practicability. Following the September 11 terrorist attacks, President George W. Bush determined the equivalency requirement was not practicable, thus diverging internal and external prosecutions. Internal prosecution re
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Streszczenia konferencji na temat "Maximum energy capture"

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Zhang, Jiyu, Lei Huang, Jianlong Yang, Shixiang Wang, and Xingwang Yang. "Maximum energy capture strategy for dual-port wave energy converters based on model predictive control." In 2025 IEEE Industry Applications Society Annual Meeting (IAS). IEEE, 2025. https://doi.org/10.1109/ias62731.2025.11061422.

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Xingjia Yao, Shu Liu, Xiaodong Wang, Hongliang Jiang, Faming Sui, and Zuoxia Xing. "Research on maximum wind energy capture control strategy." In 2010 International Conference on Optics, Photonics and Energy Engineering (OPEE 2010). IEEE, 2010. http://dx.doi.org/10.1109/opee.2010.5508114.

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Dang, D. Q., S. Wu, Y. Wang, and W. Cai. "Model Predictive Control for maximum power capture of variable speed wind turbines." In Energy Conference (IPEC 2010). IEEE, 2010. http://dx.doi.org/10.1109/ipecon.2010.5697119.

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Saravanakumar, R., and Debashisha Jena. "ISMC based variable speed wind turbine for maximum power capture." In 2014 International Conference on Control, Instrumentation, Energy and Communication (CIEC). IEEE, 2014. http://dx.doi.org/10.1109/ciec.2014.6959103.

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Shaltout, Mohamed L., Nanzhu Zhao, John F. Hall, and Dongmei Chen. "Wind Turbine Gearbox Control for Maximum Energy Capture and Prolonged Gear Life." In ASME 2012 5th Annual Dynamic Systems and Control Conference joint with the JSME 2012 11th Motion and Vibration Conference. ASME, 2012. http://dx.doi.org/10.1115/dscc2012-movic2012-8719.

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Wu, Shiquan, Lei Huang, Jianlong Yang, Shixiang Wang, and Zihao Mou. "Research on Maximum Wave Energy Capture Strategy Based on Resembling Model Prediction." In 2024 IEEE 10th International Power Electronics and Motion Control Conference (IPEMC2024-ECCE Asia). IEEE, 2024. http://dx.doi.org/10.1109/ipemc-ecceasia60879.2024.10567481.

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Perez-Blanco, H. "Optimization of Wind Energy Capture Using BET." In ASME 2011 Turbo Expo: Turbine Technical Conference and Exposition. ASMEDC, 2011. http://dx.doi.org/10.1115/gt2011-46302.

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The Blade Element Theory (BET) has been used to predict performance of wind turbines, and to optimize energy extraction from the wind. A literature search shows that the number of parameters that can be varied to attempt optimization within BET varies for different authors. However, a repeated assumption is that the BE should be operating at the incidence angle resulting in maximum lift to drag ratio. In the present work, the incidence angle is one of the parameters varied for optimization, along with five others: the two induction factors, the chord, and the flow and setting angles. The optim
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Zhang, Xianyong, Jie Shu, and Changhong Wu. "A Novel Maximum Wind Power Capture Strategy for the Doubly-Fed Induction Generator." In 2009 Asia-Pacific Power and Energy Engineering Conference. IEEE, 2009. http://dx.doi.org/10.1109/appeec.2009.4918097.

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Wang, Chengcheng, and Xiangjie Liu. "Sliding mode control for maximum wind energy capture of DFIG-based wind turbine." In 2015 27th Chinese Control and Decision Conference (CCDC). IEEE, 2015. http://dx.doi.org/10.1109/ccdc.2015.7162715.

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Devabhakthuni, Swathi, and Venkata Subba Reddy C. "Novel Control technique to capture maximum power in wind energy based on DFIG." In 2022 IEEE International Conference on Power Electronics, Drives and Energy Systems (PEDES). IEEE, 2022. http://dx.doi.org/10.1109/pedes56012.2022.10080637.

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