A Dynamic Growth Model of Wind Power Optimal Investment Paths

2012 ◽  
Vol 608-609 ◽  
pp. 713-718
Author(s):  
Wen Hui Zhao ◽  
Hui Wang ◽  
Jing Yan Ge
Keyword(s):  
Wind Energy ◽  
Wind Power ◽  
Growth Model ◽  
Oil And Gas ◽  
Ghg Emissions ◽  
Optimal Investment ◽  
Study Region ◽  
Dynamic Growth ◽  
Energy Emissions ◽  
Growth Energy

The current worldwide energy consumption is largely dominated by non-renewable energies such as coal, oil and gas. For well-known reasons, this concept should be changed to a more sustainable one based on renewable. Wind power, the most developed and commercialized renewable energy technology, has considerable potential. The relationship between economic growth, energy exhaustion and green house gas (GHG) emissions becomes the major recent years. Considering economic development, demand for energy, emissions abatement and wind energy substitution rate, a dynamic growth model with substitution of wind energy is presented. Based on the model, it describes how the activity of substitution impacts other elements in the economic system in the future. China is the selected study region and the optimal systemic project of wind power industry has been obtained by using the theory of cybernetics.

Wind energy potential assessment for KPT with a comparison of different methods of determining Weibull parameters

2020 ◽  
Vol 14 (1) ◽  
pp. 59-84 ◽  
Author(s):  
Zahid Hussain Hulio ◽  
Wei Jiang
Keyword(s):  
Maximum Likelihood ◽  
Wind Energy ◽  
Wind Power ◽  
Wind Shear ◽  
Oil And Gas ◽  
Social Implications ◽  
Site Specific ◽  
Content Type ◽  
Weibull Parameters ◽  
Air Density

Purpose The purpose of this paper is to investigate wind power potential of site using wind speed, wind direction and other meteorological data including temperature and air density collected over a period of one year. Design/methodology/approach The site-specific air density, wind shear, wind power density, annual energy yield and capacity factors have been calculated at 30 and 10 m above the ground level (AGL). The Weibull parameters have been calculated using empirical, maximum likelihood, modified maximum likelihood, energy pattern and graphical methods to determine the other dependent parameters. The accuracies of these methods are determined using correlation coefficient (R²) and root mean square error (RMSE) values. Findings The site-specific wind shear coefficient was found to be 0.18. The annual mean wind speeds were found to be 5.174 and 4.670 m/s at 30 and 10 m heights, respectively, with corresponding standard deviations of 2.085 and 2.059. The mean wind power densities were found to be 59.50 and 46.75 W/m² at 30 and 10 m heights, respectively. According to the economic assessment, the wind turbine A is capable of producing wind energy at the lowest value of US$ 0.034/kWh. Practical implications This assessment provides the sustainable solution of energy which minimizes the dependence on continuous supply of oil and gas to run the conventional power plants that is a major cause of increasing load shedding in the significant industrial and thickly populated city of Pakistan. Also, this will minimize the quarrel between the local power producer and oil and gas supplier during the peak season. Social implications This wind resource assessment has some important social implications including decreasing the environmental issues, enhancing the uninterrupted supply of electricity and decreasing cost of energy per kWh for the masses of Karachi. Originality/value The results are showing that the location can be used for installing the wind energy power plant at the lower cost per kWh compared to other energy sources. The wind energy is termed as sustainable solution at the lowest cost.

scholarly journals Alternative to Oil and Gas: Review of Economic Benefits and Potential of Wind Power in Pakistan

2020 ◽  
Vol 2020 ◽  
pp. 1-16
Author(s):  
Xinting Hu ◽  
Muhammad Imran ◽  
Mengyun Wu ◽  
Hee Cheol Moon ◽  
Xiaochen Liu
Keyword(s):  
Energy Source ◽  
Power Generation ◽  
Wind Energy ◽  
Wind Power ◽  
Oil And Gas ◽  
Thermal Power ◽  
Economic Benefits ◽  
Management Tool ◽  
Power Sources ◽  
Economic Criteria

Pakistan is one of those countries that are heavily dependent on hydrocarbon fuel for energy production. This results in severe CO2 emissions that lead to climate change. Although renewable energy resources such as wind are available in abundance, they have not been fully utilized and so energy crises in Pakistan increase every year. This study focuses on using wind energy as an alternative to thermal power sources as the main source of power generation in Pakistan. This research also helps in designing a project management tool to prioritize sources of power generation, including both renewables and nonrenewables, while also considering projects’ technical, environmental, social and economic criteria. An Analytical Hierarchy Process has been used to analyze the four main criteria and 12 subcriteria. The analysis revealed that wind energy is the best source among all options for power generation source, followed by solar. Oil, gas, and coal, the other three alternatives, were well below in a comparative analysis. Gas achieves overall better performance if only economic criteria are considered, but due to shortfalls in availability and diminishing reserves, this source is also not feasible. Relying on wind power as the only energy source will not be technically possible, but it can become a leading energy source inside Pakistan. This will reduce the burden on thermal energy sources and make the country more energy-secure, rather than relying heavily on imported oil and gas, as it currently does. Wind power generation capacity in Pakistan is increasing, so that the cumulative capacity is around 2118 MW installed and commissioned by the end of 2018.

scholarly journals Long-Term Assessment of Onshore and Offshore Wind Energy Potentials of Qatar

Energies ◽  
2021 ◽  
Vol 14 (4) ◽  
pp. 1178
Author(s):  
Valliyil Mohammed Aboobacker ◽  
Puthuveetil Razak Shanas ◽  
Subramanian Veerasingam ◽  
Ebrahim M. A. S. Al-Ansari ◽  
Fadhil N. Sadooni ◽  
...  
Keyword(s):  
Renewable Energy ◽  
Wind Energy ◽  
Wind Power ◽  
Oil And Gas ◽  
Southern Oscillation ◽  
Renewable Energy Sources ◽  
Energy Resource ◽  
Offshore Wind ◽  
Energy Potential ◽  
Annual Variability

Exploitation of conventional energy resources has caused a deliberate increase in the emitted carbon in the atmosphere, which catalyzes global warming trends. This is a matter of concern, especially in Qatar, where fossil fuels (oil and gas) are largely relied upon for power production. The dependency on such resources could be gradually reduced by utilizing clean and renewable energy. Resource characterization is an important step to evaluate the potentiality of available renewable energy sources. Wind energy is one among them, which has not been assessed reliably so far in Qatar. We analyzed the wind energy potential along the onshore and offshore areas of Qatar using 40 years (1979–2018) of hourly wind data extracted from the ECMWF Reanalysis v5 (ERA5) database. Monthly, seasonal, annual, and decadal mean wind power densities have been derived. Reliability tests have been carried out at select onshore and offshore locations. Trends and inter-annual variability have been assessed. The study reveals that the available wind resources are generally moderate but consistent with no intense trends during the 40 year period. An inter-annual variability in wind power has been identified, which has secured links with the El Niño–Southern Oscillation (ENSO).

Power Electronics for Grid Integration of Wind Power Generation System

2016 ◽  
Vol 9 ◽  
pp. 10 ◽  
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.

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

Energies ◽  
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.

scholarly journals Evaluation of offshore wind power in the China sea

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.

Design of a Magnetic Wall-Climbing Car

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..

scholarly journals A Condensed Introduction to the Doubly Fed Induction Generator Wind Energy Conversion Systems

2017 ◽  
Vol 2017 ◽  
pp. 1-18 ◽  
Author(s):  
Julius Mwaniki ◽  
Hui Lin ◽  
Zhiyong Dai
Keyword(s):  
Wind Energy ◽  
Energy Conversion ◽  
Wind Power ◽  
Market Share ◽  
Induction Generator ◽  
Doubly Fed Induction Generator ◽  
Wind Energy Conversion ◽  
Wind Energy Conversion Systems ◽  
Energy Conversion Systems ◽  
Doubly Fed

The increase in wind power penetration, at 456 GW as of June 2016, has resulted in more stringent grid codes which specify that the wind energy conversion systems (WECS) must remain connected to the system during and after a grid fault and, furthermore, must offer grid support by providing reactive currents. The doubly fed induction generator (DFIG) WECS is a well-proven technology, having been in use in wind power generation for many years and having a large world market share due to its many merits. Newer technologies such as the direct drive gearless permanent magnet synchronous generator have come up to challenge its market share, but the large number of installed machines ensures that it remains of interest in the wind industry. This paper presents a concise introduction of the DFIG WECS covering its construction, operation, merits, demerits, modelling, control types, levels and strategies, faults and their proposed solutions, and, finally, simulation. Qualities for the optimal control strategy are then proposed. The paper is intended to cover major issues related to the DFIG WECS that are a must for an overview of the system and hence serve as an introduction especially for new entrants into this area of study.

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