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Статті в журналах з теми "Renewable energy sources – Ontario – Mathematical models"
Alnahdi, Amani, Ali Elkamel, Munawar A. Shaik, Saad A. Al-Sobhi, and Fatih S. Erenay. "Optimal Production Planning and Pollution Control in Petroleum Refineries Using Mathematical Programming and Dispersion Models." Sustainability 11, no. 14 (July 10, 2019): 3771. http://dx.doi.org/10.3390/su11143771.
Повний текст джерелаMarchenko, Oleg V., and Sergei V. Solomin. "Efficiency Assessment of Renewable Energy Sources." E3S Web of Conferences 114 (2019): 05001. http://dx.doi.org/10.1051/e3sconf/201911405001.
Повний текст джерелаIssa, H. I., H. J. Mohammed, L. M. Abdali, A. G. Al Bairmani, and M. Ghachim. "Mathematical Modeling and Controller for PV System by Using MPPT Algorithm." Bulletin of Kalashnikov ISTU 24, no. 1 (April 6, 2021): 96. http://dx.doi.org/10.22213/2413-1172-2021-1-96-101.
Повний текст джерелаPavić, Ivan, Tomislav Capuder, and Igor Kuzle. "Generation scheduling in power systems with high penetration of renewable energy." Journal of Energy - Energija 66, no. 1-4 (June 23, 2022): 150–64. http://dx.doi.org/10.37798/2017661-4102.
Повний текст джерелаKuznietsov, Mykola, Olha Lysenko, and Oleksandr Melnyk. "OPTIMAL REGULATION OF LOCAL ENERGY SYSTEM WITH RENEWABLE ENERGY SOURCES." Bulletin of the National Technical University "KhPI". Series: Energy: Reliability and Energy Efficiency, no. 1 (2) (July 2, 2021): 52–61. http://dx.doi.org/10.20998/2224-0349.2021.01.08.
Повний текст джерелаChernozomov, Y. S. "Polarization Models of Radiation in a Solar Energy Concentrator System." Èlektronnoe modelirovanie 43, no. 5 (October 4, 2021): 93–107. http://dx.doi.org/10.15407/emodel.43.05.093.
Повний текст джерелаSudharshan, Konduru, C. Naveen, Pradeep Vishnuram, Damodhara Venkata Siva Krishna Rao Krishna Rao Kasagani, and Benedetto Nastasi. "Systematic Review on Impact of Different Irradiance Forecasting Techniques for Solar Energy Prediction." Energies 15, no. 17 (August 28, 2022): 6267. http://dx.doi.org/10.3390/en15176267.
Повний текст джерелаHandam, Ahmed, and Takialddin Al Smadi. "Multivariate analysis of efficiency of energy complexes based on renewable energy sources in the system power supply of autonomous consumer." International Journal of ADVANCED AND APPLIED SCIENCES 9, no. 5 (May 2022): 109–18. http://dx.doi.org/10.21833/ijaas.2022.05.014.
Повний текст джерелаDuan, Jon, G. Cornelis van van Kooten, and A. T. M. Hasibul Islam. "Calibration of Grid Models for Analyzing Energy Policies." Energies 16, no. 3 (January 23, 2023): 1234. http://dx.doi.org/10.3390/en16031234.
Повний текст джерелаYashin, Anton, Andrey Bodylev, Regina Khazieva, and Marat Khakimyanov. "LABORATORY FACILITY FOR STUDYING THE APPLICATION OF RENEWABLE ENERGY SOURCES." Electrical and data processing facilities and systems 18, no. 2 (2022): 82–97. http://dx.doi.org/10.17122/1999-5458-2022-18-2-82-97.
Повний текст джерелаДисертації з теми "Renewable energy sources – Ontario – Mathematical models"
Noudjiep, Djiepkop Giresse Franck. "Feeder reconfiguration scheme with integration of renewable energy sources using a Particle Swarm Optimisation method." Thesis, Cape Peninsula University of Technology, 2018. http://hdl.handle.net/20.500.11838/2712.
Повний текст джерелаA smart grid is an intelligent power delivery system integrating traditional and advanced control, monitoring, and protection systems for enhanced reliability, improved efficiency, and quality of supply. To achieve a smart grid, technical challenges such as voltage instability; power loss; and unscheduled power interruptions should be mitigated. Therefore, future smart grids will require intelligent solutions at transmission and distribution levels, and optimal placement & sizing of grid components for optimal steady state and dynamic operation of the power systems. At distribution levels, feeder reconfiguration and Distributed Generation (DG) can be used to improve the distribution network performance. Feeder reconfiguration consists of readjusting the topology of the primary distribution network by remote control of the tie and sectionalizing switches under normal and abnormal conditions. Its main applications include service restoration after a power outage, load balancing by relieving overloads from some feeders to adjacent feeders, and power loss minimisation for better efficiency. On the other hand, the DG placement problem entails finding the optimal location and size of the DG for integration in a distribution network to boost the network performance. This research aims to develop Particle Swarm Optimization (PSO) algorithms to solve the distribution network feeder reconfiguration and DG placement & sizing problems. Initially, the feeder reconfiguration problem is treated as a single-objective optimisation problem (real power loss minimisation) and then converted into a multi-objective optimisation problem (real power loss minimisation and load balancing). Similarly, the DG placement problem is treated as a single-objective problem (real power loss minimisation) and then converted into a multi-objective optimisation problem (real power loss minimisation, voltage deviation minimisation, Voltage stability Index maximisation). The developed PSO algorithms are implemented and tested for the 16-bus, the 33-bus, and the 69-bus IEEE distribution systems. Additionally, a parallel computing method is developed to study the operation of a distribution network with a feeder reconfiguration scheme under dynamic loading conditions.
Yee, Victoria E. "Predicting the renewable energy portfolio for the southern half of the United States through 2050 by matching energy sources to regional needs." Scholarly Commons, 2012. https://scholarlycommons.pacific.edu/uop_etds/808.
Повний текст джерелаParsa, Maryam. "Optimum Decision Policy for Gradual Replacement of Conventional Power Sources by Clean Power Sources." Thèse, Université d'Ottawa / University of Ottawa, 2013. http://hdl.handle.net/10393/24015.
Повний текст джерелаStaschus, Konstantin. "Renewable energy in electric utility capacity planning: a decomposition approach with application to a Mexican utility." Diss., Virginia Polytechnic Institute and State University, 1985. http://hdl.handle.net/10919/53898.
Повний текст джерелаPh. D.
Vaezi, Masoud. "Modeling and control of hydraulic wind power transfer systems." Thesis, 2014. http://hdl.handle.net/1805/6172.
Повний текст джерелаHydraulic wind power transfer systems deliver the captured energy by the blades to the generators differently. In the conventional systems this task is carried out by a gearbox or an intermediate medium. New generation of wind power systems transfer the captured energy by means of high-pressure hydraulic fluids. A hydraulic pump is connected to the blades shaft at a high distance from the ground, in nacelle, to pressurize a hydraulic flow down to ground level equipment through hoses. Multiple wind turbines can also pressurize a flow sending to a single hose toward the generator. The pressurized flow carries a large amount of energy which will be transferred to the mechanical energy by a hydraulic motor. Finally, a generator is connected to the hydraulic motor to generate electrical power. This hydraulic system runs under two main disturbances, wind speed fluctuations and load variations. Intermittent nature of the wind applies a fluctuating torque on the hydraulic pump shaft. Also, variations of the consumed electrical power by the grid cause a considerable load disturbance on the system. This thesis studies the hydraulic wind power transfer systems. To get a better understanding, a mathematical model of the system is developed and studied utilizing the governing equations for every single hydraulic component in the system. The mathematical model embodies nonlinearities which are inherited from the hydraulic components such as check valves, proportional valves, pressure relief valves, etc. An experimental prototype of the hydraulic wind power transfer systems is designed and implemented to study the dynamic behavior and operation of the system. The provided nonlinear mathematical model is then validated by experimental result from the prototype. Moreover, this thesis develops a control system for the hydraulic wind power transfer systems. To maintain a fixed frequency electrical voltage by the system, the generator should remain at a constant rotational speed. The fluctuating wind speed from the upstream, and the load variations from the downstream apply considerable disturbances on the system. A controller is designed and implemented to regulate the flow in the proportional valve and as a consequence the generator maintains its constant speed compensating for load and wind turbine disturbances. The control system is applied to the mathematical model as well as the experimental prototype by utilizing MATLAB/Simulink and dSPACE 1104 fast prototyping hardware and the results are compared.
Pusha, Ayana T. "Multiple turbine wind power transfer system loss and efficiency analysis." 2013. http://hdl.handle.net/1805/3800.
Повний текст джерелаA gearless hydraulic wind energy transfer system utilizes the hydraulic power transmission principles to integrate the energy of multiple wind turbines in a central power generation location. The gearless wind power transfer technology may replace the current energy harvesting system to reduce the cost of operation and increase the reliability of wind power generation. It also allows for the integration of multiple wind turbines to one central generation unit, unlike the traditional wind power generation with dedicated generator and gearbox. A Hydraulic Transmission (HT) can transmit high power and can operate over a wide range of torque-to-speed ratios, allowing efficient transmission of intermittent wind power. The torque to speed ratios illustrates the relationship between the torque and speed of a motor (or pump) from the moment of start to when full-load torque is reached at the manufacturer recommended rated speed. In this thesis, a gearless hydraulic wind energy harvesting and transfer system is mathematically modeled and verified by experimental results. The mathematical model is therefore required to consider the system dynamics and be used in control system development. Mathematical modeling also provided a method to determine the losses of the system as well as overall efficiency. The energy is harvested by a low speed-high torque wind turbine connected to a high fixed-displacement hydraulic pump, which is connected to hydraulic motors. Through mathematical modeling of the system, an enhanced understanding of the HTS through analysis was gained that lead to a highly efficient hydraulic energy transmission system. It was determined which factors significantly influenced the system operation and its efficiency more. It was also established how the overall system operated in a multiple wind turbine configuration. The quality of transferred power from the wind turbine to the generator is important to maintaining the systems power balance, frequency droop control in grid-connected applications, and to ensure that the maximum output power is obtained. A hydraulic transmission system can transfer large amounts of power and has more flexibility than a mechanical and electrical system. However high-pressure hydraulic systems have shown low efficiency in wind power transfer when interfaced with a single turbine to a ground-level generator. HT’s generally have acceptable efficiency at full load and drop efficiency as the loading changes, typically having a peak around 60%. The efficiency of a HT is dependent on several parameters including volumetric flow rate, rotational speed and torque at the pump shaft, and the pressure difference across the inlet and outlet of the hydraulic pump and motor. It has been demonstrated that using a central generation unit for a group of wind turbines and transferring the power of each turbine through hydraulic system increases the efficiency of the overall system versus one turbine to one central generation unit. The efficiency enhancement depends on the rotational speed of the hydraulic pumps. Therefore, it is proven that the multiple-turbine hydraulic power transfer system reaches higher efficiencies at lower rotational speeds. This suggests that the gearbox can be eliminated from the wind powertrains if multiple turbines are connected to the central generation unit. Computer simulations and experimental results are provided to quantify the efficiency enhancements obtained by adding the second wind turbine hydraulic pump to the system.
Sajadian, Sally. "Energy conversion unit with optimized waveform generation." Thesis, 2014. http://hdl.handle.net/1805/6109.
Повний текст джерелаThe substantial increase demand for electrical energy requires high efficient apparatus dealing with energy conversion. Several technologies have been suggested to implement power supplies with higher efficiency, such as multilevel and interleaved converters. This thesis proposes an energy conversion unit with an optimized number of output voltage levels per number of switches nL=nS. The proposed five-level four-switch per phase converter has nL=nS=5/4 which is by far the best relationship among the converters presented in technical literature. A comprehensive literature review on existing five-level converter topologies is done to compare the proposed topology with conventional multilevel converters. The most important characteristics of the proposed configuration are: (i) reduced number of semiconductor devices, while keeping a high number of levels at the output converter side, (ii) only one DC source without any need to balance capacitor voltages, (iii) high efficiency, (iv) there is no dead-time requirement for the converters operation, (v) leg isolation procedure with lower stress for the DC-link capacitor. Single-phase and three-phase version of the proposed converter is presented in this thesis. Details regarding the operation of the configuration and modulation strategy are presented, as well as the comparison between the proposed converter and the conventional ones. Simulated results are presented to validate the theoretical expectations. In addition a fault tolerant converter based on proposed topology for micro-grid systems is presented. A hybrid pulse-width-modulation for the pre-fault operation and transition from the pre-fault to post-fault operation will be discussed. Selected steady-state and transient results are demonstrated to validate the theoretical modeling.
Книги з теми "Renewable energy sources – Ontario – Mathematical models"
ZInthraprawit, Dūangc̆hai Z. Development of analytic methodologies to incorporate renewable energy in domestic energy and economic planning. Honolulu, Hawaii, USA: APEC Secretariat, 1999.
Знайти повний текст джерелаHanada, Shin'ichi. Saisei kanō enerugī fukyū seisaku no keizai hyōka. Tōkyō: Mitsubishi Keizai Kenkyūjo, 2012.
Знайти повний текст джерелаA, Farret Felix, ed. Modeling and analysis with induction generators. Boca Raton: CRC Press, Taylor & Francis Group, 2015.
Знайти повний текст джерелаInnovative Modellierung und Optimierung von Energiesystemen. Berlin: Lit, 2009.
Знайти повний текст джерелаVasant, Pandian. Sustaining power resources through energy optimization and engineering. Edited by Voropaĭ, N. I. (Nikolaĭ Ivanovich), editor. Hershey PA: Engineering Science Reference, 2016.
Знайти повний текст джерелаMetcalf, Gilbert E. Federal tax policy towards energy. Cambridge, Mass: National Bureau of Economic Research, 2006.
Знайти повний текст джерелаKaiser, Mark J. Offshore wind energy cost modeling: Installation and decommissioning. London: Springer, 2012.
Знайти повний текст джерелаModeling and control of sustainable power systems: Towards smarter and greener electric grids. Berlin: Springer, 2012.
Знайти повний текст джерелаG, Wilson David, and SpringerLink (Online service), eds. Nonlinear Power Flow Control Design: Utilizing Exergy, Entropy, Static and Dynamic Stability, and Lyapunov Analysis. London: Springer-Verlag London Limited, 2011.
Знайти повний текст джерелаKatsutoshi, Komeya, Matsuo Yohtaro, Goto Takashi, Nihon Seramikkusu Kyōkai, and Nihon Gakujutsu Shinkōkai. Kōbutsu Shinkatsuyō Dai 124 Iinkai., eds. Innovation in ceramic science and engineering: Selected, peer reviewed papers from the 3rd International Symposium on Advanced Ceramics, Grand Copthorne Waterfront Hotel, December 11-15, 2006, Singapore. Stafa-Zurich, Switzerland: Trans Tech Publications, 2007.
Знайти повний текст джерелаЧастини книг з теми "Renewable energy sources – Ontario – Mathematical models"
Nurgaliev, Ildus Saetgalievich. "Solar Energy in Agro-Ecologic Micrometeorology Measurements." In Handbook of Research on Renewable Energy and Electric Resources for Sustainable Rural Development, 141–48. IGI Global, 2018. http://dx.doi.org/10.4018/978-1-5225-3867-7.ch006.
Повний текст джерелаBrahimi, Tayeb, and Ion Paraschivoiu. "Aerodynamic Analysis and Performance Prediction of VAWT and HAWT Using CARDAAV and Qblade Computer Codes." In Entropy and Exergy in Renewable Energy [Working Title]. IntechOpen, 2021. http://dx.doi.org/10.5772/intechopen.96343.
Повний текст джерелаMahto, Rakeshkumar, and Reshma John. "Modeling of Photovoltaic Module." In Solar Cells [Working Title]. IntechOpen, 2021. http://dx.doi.org/10.5772/intechopen.97082.
Повний текст джерелаТези доповідей конференцій з теми "Renewable energy sources – Ontario – Mathematical models"
Ortiz-Rivera, Eduardo I., Yazmin Torres-Feliciano, and Angelymar Sanchez Del Valle. "Mathematical Models of Renewable Energy Sources developed at UPRM useful for Microgrid Analysis." In 2021 IEEE 48th Photovoltaic Specialists Conference (PVSC). IEEE, 2021. http://dx.doi.org/10.1109/pvsc43889.2021.9518964.
Повний текст джерелаAntoniou, Antonios, Cesar Celis, and Arturo Berastain. "A Mathematical Model to Predict Alkaline Electrolyzer Performance Based on Basic Physical Principles and Previous Models Reported in Literature." In ASME 2021 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2021. http://dx.doi.org/10.1115/imece2021-68815.
Повний текст джерелаPatel, Shreyas M., Paul T. Freeman, and John R. Wagner. "An Electrical Microgrid: Integration of Solar Panels, Compressed Air Storage, and a Micro-Cap Gas Turbine." In ASME 2014 Dynamic Systems and Control Conference. American Society of Mechanical Engineers, 2014. http://dx.doi.org/10.1115/dscc2014-6058.
Повний текст джерелаS. Salles, Rafael, Gabriel C. S. Almeida, Leandro R. M. Silva, Carlos A. Duque, and Paulo F. Ribeiro. "Visualization of Quality PerformanceParameters Using Wavelet Scalograms Images for Power Systems." In Congresso Brasileiro de Automática - 2020. sbabra, 2020. http://dx.doi.org/10.48011/asba.v2i1.1497.
Повний текст джерелаCremanns, Kevin, Dirk Roos, Simon Hecker, Peter Dumstorff, Henning Almstedt, and Christian Musch. "Efficient Multi-Objective Optimization of Labyrinth Seal Leakage in Steam Turbines Based on Hybrid Surrogate Models." In ASME Turbo Expo 2016: Turbomachinery Technical Conference and Exposition. American Society of Mechanical Engineers, 2016. http://dx.doi.org/10.1115/gt2016-57457.
Повний текст джерелаAncona, M. A., M. Bianchi, L. Branchini, F. Catena, A. De Pascale, F. Melino, and A. Peretto. "Off-Design Performance Evaluation of a LNG Production Plant Coupled With Renewables." In ASME Turbo Expo 2019: Turbomachinery Technical Conference and Exposition. American Society of Mechanical Engineers, 2019. http://dx.doi.org/10.1115/gt2019-90495.
Повний текст джерелаCrosa, Giampaolo, Maurizio Lubiano, and Angela Trucco. "Modelling of PV-Powered Water Electrolysers." In ASME Turbo Expo 2006: Power for Land, Sea, and Air. ASMEDC, 2006. http://dx.doi.org/10.1115/gt2006-90906.
Повний текст джерела