Coastal zone wind energy. Part III: a procedure to determine the wind power potential of the coastal zone

Introduction. One of the most popular alternative sources is wind energy. Offshore power stations are those which use kinetic energy of the wind and are built in shallow seas. Ukraine has access to the Black Sea and the Sea of Azov and has set the course to intensify the use of its own energy sources. It is therefore advisable to consider the development of offshore wind energy in its coastal zones. The purpose of this article is to analyze the energy potential of the coastal zone of the Sea of Azov to determine the prospects for offshore wind energy development. The main material. The economically feasible wind power of Ukraine is 16 GW but a significant percentage of its territory is not suitable for the installation of wind power plants, so it is advisable to use the seas area. In the coastal regions of Ukraine the average wind speed exceeds 5 m/s, which makes them effective in terms of using wind energy. Using GIS modeling, based on the data from the Global Atlas for Renewable Energy «IRENA», the spatial distribution of the average annual wind speed over the Sea of Azov at an altitude of 50, 100, 200 m has been analyzed. Due to the wind speed from 6 to 9 m/s, the Sea of Azov has significant wind energy potential. Wind speed rising from west to east has been detected. The concentration zone of maximum wind speed is the northern and north-eastern coast of the Sea of Azov. Accordingly, most electricity can be produced in Taganrog Bay, and the smallest amount– at the western coast of the sea. The data on the the generated power that could be extracted by a turbine installed in these areas at different altitudes has been calculated. At an altitude of 200 m, the figures are maximum and range from 9.4 to 30.3 GWh/year. In general, the wind indexes as well as the area of the zones suitable for the installation of wind farms increase with a height. In this case, it is economically advantageous to install large wind turbines with a tower height at 100 m. Conclusions and further research. The offshore wind energy in the coastal zone of the Sea of Azov can be developed, but it needs support at the state level. The prospect of this study is to analyze the limiting factors for this water area and to clarify the design areas of the industry.

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Power Electronics for Grid Integration of Wind Power Generation System

Journal of Communications Technology Electronics and Computer Science ◽

10.22385/jctecs.v9i0.129 ◽

2016 ◽

Vol 9 ◽

pp. 10 ◽

Cited By ~ 2

Author(s):

Michael S Okundamiya

Keyword(s):

Power Generation ◽

Wind Energy ◽

Power Electronics ◽

Wind Power ◽

Renewable Energy Sources ◽

Wind Power Generation ◽

Generation System ◽

Electricity Grid ◽

Power Generation System ◽

Promising Source

The rising demands for a sustainable energy system have stimulated global interests in renewable energy sources. Wind is the fastest growing and promising source of renewable power generation globally. The inclusion of wind power into the electric grid can severely impact the monetary cost, stability and quality of the grid network due to the erratic nature of wind. Power electronics technology can enable optimum performance of the wind power generation system, transferring suitable and applicable energy to the electricity grid. Power electronics can be used for smooth transfer of wind energy to electricity grid but the technology for wind turbines is influenced by the type of generator employed, the energy demand and the grid requirements. This paper investigates the constraints and standards of wind energy conversion technology and the enabling power electronic technology for integration to electricity grid.

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Evaluation of the potential of wind energy as a source of electricity generation: Case study - Vanatori Wind Power Plant

2020 7th International Conference on Energy Efficiency and Agricultural Engineering (EE&AE) ◽

10.1109/eeae49144.2020.9278983 ◽

2020 ◽

Author(s):

Oana Irimia ◽

Claudia Tomozei ◽

Mirela Panainte-Lehadus ◽

Maria Cristina Dinu

Keyword(s):

Power Plant ◽

Wind Energy ◽

Wind Power ◽

Electricity Generation ◽

Wind Power Plant

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Numerical Weather Prediction and Artificial Neural Network Coupling for Wind Energy Forecast

Energies ◽

10.3390/en14020338 ◽

2021 ◽

Vol 14 (2) ◽

pp. 338

Author(s):

Lorenzo Donadio ◽

Jiannong Fang ◽

Fernando Porté-Agel

Keyword(s):

Machine Learning ◽

Wind Energy ◽

Wind Power ◽

Numerical Weather Prediction ◽

Wind Farm ◽

Weather Prediction ◽

Wind Power Forecasting ◽

Numerical Weather ◽

Artificial Neural ◽

Power Forecasting

In the past two decades, wind energy has been under fast development worldwide. The dramatic increase of wind power penetration in electricity production has posed a big challenge to grid integration due to the high uncertainty of wind power. Accurate real-time forecasts of wind farm power outputs can help to mitigate the problem. Among the various techniques developed for wind power forecasting, the hybridization of numerical weather prediction (NWP) and machine learning (ML) techniques such as artificial neural networks (ANNs) are attracting many researchers world-wide nowadays, because it has the potential to yield more accurate forecasts. In this paper, two hybrid NWP and ANN models for wind power forecasting over a highly complex terrain are proposed. The developed models have a fine temporal resolution and a sufficiently large prediction horizon (>6 h ahead). Model 1 directly forecasts the energy production of each wind turbine. Model 2 forecasts first the wind speed, then converts it to the power using a fitted power curve. Effects of various modeling options (selection of inputs, network structures, etc.) on the model performance are investigated. Performances of different models are evaluated based on four normalized error measures. Statistical results of model predictions are presented with discussions. Python was utilized for task automation and machine learning. The end result is a fully working library for wind power predictions and a set of tools for running the models in forecast mode. It is shown that the proposed models are able to yield accurate wind farm power forecasts at a site with high terrain and flow complexities. Especially, for Model 2, the normalized Mean Absolute Error and Root Mean Squared Error are obtained as 8.76% and 13.03%, respectively, lower than the errors reported by other models in the same category.

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Evaluation of offshore wind power in the China sea

Energy Exploration & Exploitation ◽

10.1177/0144598721992268 ◽

2021 ◽

pp. 014459872199226

Author(s):

Yu-chi Tian ◽

Lei kou ◽

Yun-dong Han ◽

Xiaodong Yang ◽

Ting-ting Hou ◽

...

Keyword(s):

Wind Energy ◽

Wind Power ◽

Energy Development ◽

Offshore Wind ◽

Human Beings ◽

Offshore Wind Power ◽

Business Operation ◽

Advantages And Disadvantages ◽

Wind Energy Development ◽

The Impact

With resource crisis and environmental crisis increasingly grim, many countries turn the focus to pollution-free and renewable wind energy resources, which are mainly used for offshore wind power generation, seawater desalination and heating, etc., on the premise that the characteristics of resources are fully grasped. In this study, the evaluation of offshore wind energy in offshore waters in China, as well as the advantages and disadvantages of existing studies were overviewed from four aspects: the spatial-temporal characteristics of wind energy, wind energy classification, the short-term forecast of wind energy and the long-term projection of wind energy, according to the research content and the future considerations about wind energy evaluation (evaluation of wind energy on islands and reefs, the impact of wind energy development on human health) were envisaged, in the hope of providing a scientific basis for the site selection and business operation ‘or military applications’ here (after business operation), etc. of wind energy development, ‘aritime navigation against environmental construction,’ here and also contributing to the sustainable development and health of human beings.

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Design of a Magnetic Wall-Climbing Car

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.526.211 ◽

2014 ◽

Vol 526 ◽

pp. 211-216

Author(s):

Qiong Ying Lv ◽

Yu Shi Mei ◽

Xi Jia Tao

Keyword(s):

Renewable Energy ◽

Wind Energy ◽

Wind Power ◽

Large Scale ◽

Magnetic Force ◽

Mechanical Analysis ◽

Heavy Duty ◽

Magnetic Wall ◽

Force Curves

As the trend of large-scale wind Power, People pay more attention to wind energy, which as a clean, renewable energy. Traditional unarmed climbing and crane lifting has been unable to meet the requirements of the equipment maintenance. Magnetic climb car can automatically crawl along the wall of the steel tower, the maintenance equipment and personnel can be sent to any height of the tower. The quality of the magnetic wall-climbing car is 550kg, which can carry 1.3 tons load. In this paper completed the magnetic wall-climbing car design and modeling, mechanical analysis in static and dynamic, obtained with the air gap and Magnetic Force curves. The application shows that the magnetic wall-climbing car meets the reliable adsorption, heavy-duty operation, simple operation etc..

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