scholarly journals Technical and economic analysis of the efficiency of a low-power wind-driven plant in the climatic conditions of the center of the European part of Russia

2020 ◽  
Vol 1 (3) ◽  
pp. 83-87
Author(s):  
A.A. Jinov ◽  
◽  
D.V. Shevelev ◽  
N.E. Metlitsky ◽  
◽  
...  

Nowadays, the world is actively developing alternative energy based on solar energy and wind energy. The reason for this is the obvious signs of global warming, probably caused by the emissions of greenhouse gases - products of combustion of fossil fuels. The production of electrical energy at solar and wind power plants, unlike traditional thermal power plants, does not lead to the emission of greenhouse gases into the atmosphere. This article examines the potential of wind power plants in the central zone of the European part of Russia, using the example of the Kaluga region. The open climatic data METAR of the meteorological station of the Kaluga International Aerodrome named after Konstantin E. Tsiolkovsky (KLF) was used when writing the paper. Authors used data on the average wind speed for three-hour intervals over one year. An analysis of the wind speed was carried out and a graph of the probability of observing one or another wind speed was built. The graph showed that the average wind speed in the Kaluga region is about 2 ... 4 m / s. The calculation of the generation of electrical energy by a serial low-power wind generator was made, the coefficient of utilization of the installed capacity of the ICUM = 7% was determined. It has been established that the Kaluga region has a low wind energy potential. It is possible to obtain electricity from wind in the Kaluga Region, but calculations shown that the payback period for such power plants under these conditions, even without taking into account the costs of installation, auxiliary equipment and maintenance of the wind generator, is about 30 years. As a result of the study, it was concluded that there is no economic feasibility of operating low-power wind power plants in the central zone of the European part of Russia.

2014 ◽  
Vol 651-653 ◽  
pp. 1117-1122
Author(s):  
Zheng Ning Fu ◽  
Hong Wen Xie

Wind speed forecasting plays a significant role to the operation of wind power plants and power systems. An accurate forecasting on wind power can effectively relieve or avoid the negative impact of wind power plants on power systems and enhance the competition of wind power plants in electric power market. Based on a fuzzy neural network (FNN), a method of wind speed forecasting is presented in this paper. By mining historical data as the learning stylebook, the fuzzy neural network (FNN) forecasts the wind speed. The simulation results show that this method can improve the accuracy of wind speed forecasting effectively.


2002 ◽  
Vol 124 (4) ◽  
pp. 427-431 ◽  
Author(s):  
Yih-huei Wan ◽  
Demy Bucaneg,

To evaluate short-term wind power fluctuations and their impact on electric power systems, the National Renewable Energy Laboratory, in cooperation with Enron Wind, has started a project to record output power from several large commercial wind power plants at the 1-Hertz rate. This paper presents statistical properties of the data collected so far and discusses the results of data analysis. From the available data, we can already conclude that despite the stochastic nature of wind power fluctuations, the magnitudes and rates of wind power changes caused by wind speed variations are seldom extreme, nor are they totally random. Their values are bounded in narrow ranges. Power output data also show significant spatial variations within a large wind power plant. The data also offer encouraging evidence that accurate wind power forecasting is feasible. To the utility system, large wind power plants are not really random burdens. The narrow range of power level step changes provides a lot of information with which system operators can make short-term predictions of wind power. Large swings of wind power do occur, but those infrequent large changes (caused by wind speed changes) are always related to well-defined weather events, most of which can be accurately predicted in advance.


Author(s):  
Amanda Ribeiro de Andrade ◽  
Victor Felipe Moura Bezerra Melo ◽  
Daisy Beserra Lucena ◽  
Raphael Abrahão

2020 ◽  
Vol 12 (15) ◽  
pp. 6017
Author(s):  
Yasemin Ayaz Atalan ◽  
Mete Tayanç ◽  
Kamil Erkan ◽  
Abdulkadir Atalan

This study aims to develop an optimization model for obtaining the maximum benefit from wind power plants (WPPs) to help with reducing external dependence in terms of energy. In this sense, design of experiment and optimization methods are comprehensively combined in the wind energy field for the first time. Existing data from installed WPPs operating in Turkey for the years of 2017 and 2018 are analyzed. Both the individual and interactive effects of controllable factors, namely turbine power (MW), hub height (m) and rotor diameter (m), and uncontrollable factor as wind speed (m/s) on WPPs are investigated with the help of Box-Behnken design. Nonlinear optimization models are utilized to estimate optimum values for each decision variable in order to maximize the amount of energy to be produced for the future. Based on the developed nonlinear optimization models, the optimum results with high desirability value (0.9587) for the inputs of turbine power, hub height, rotor diameter and wind speed are calculated as 3.0670 MW, 108.8424 m, 106.7597 m, and 6.1684 m/s, respectively. The maximum energy output with these input values is computed as 9.952 million kWh per unit turbine, annually. The results of this study can be used as a guideline in the design of new WPPs to produce the maximum amount of energy contributing to supply escalating energy needs by more sustainable and clean ways for the future.


Author(s):  
Co Xuan Hoang ◽  
Linh Thi Hai Dang ◽  
Da Van Ta ◽  
Cuong Manh Dinh ◽  
Chinh Van Kim ◽  
...  

The construction of grid-connected wind power plants has increased sharply in Vietnam due to the rapid rise of energy demands. Previous studies of wind energy have shown that the wind potential of Vietnam compared to other countries of Southeast Asia and examined wind speed levels of each region of Vietnam. In this study, the annual electricity production (AEP), which is an important factor of project's cost and benefit calculation, was calculated for 13 study areas. A correlation equation between AEP and the average wind speed at 60m above ground level was also developed to estimate AEP where there exists only data of the annual average wind speed. Moreover, other resources of the development of grid-connected wind power were discussed in this research such as the Vietnamese supporting mechanism, international co-operation, turbine technology development, etc. The article then predicts the trend, and proposes some recommendations of developing grid-connected wind farms in Vietnam.


Author(s):  
Jayachandra N. Sakamuri ◽  
Kaushik Das ◽  
Mufit Altin ◽  
Nicolaos A. Cutululis ◽  
Anca D. Hansen ◽  
...  

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