scholarly journals Ice Accretion Prediction on Wind Turbines and Consequent Power Losses

2016 ◽  
Vol 753 ◽  
pp. 022022 ◽  
Author(s):  
Ozcan Yirtici ◽  
Ismail H. Tuncer ◽  
Serkan Ozgen
Keyword(s):  
Wind Turbines ◽  
Ice Accretion ◽  
Power Losses

scholarly journals Wind turbine icing characteristics and icing-induced power losses to utility-scale wind turbines

2021 ◽  
Vol 118 (42) ◽  
pp. e2111461118
Author(s):  
Linyue Gao ◽  
Hui Hu
Keyword(s):  
Wind Turbines ◽  
Power Output ◽  
Turbine Blades ◽  
Digital Camera ◽  
Unmanned Aircraft ◽  
Ice Accretion ◽  
Power Losses ◽  
Field Campaign ◽  
Output Losses ◽  
Utility Scale

A field campaign was carried out to investigate ice accretion features on large turbine blades (50 m in length) and to assess power output losses of utility-scale wind turbines induced by ice accretion. After a 30-h icing incident, a high-resolution digital camera carried by an unmanned aircraft system was used to capture photographs of iced turbine blades. Based on the obtained pictures of the frozen blades, the ice layer thickness accreted along the blades’ leading edges was determined quantitatively. While ice was found to accumulate over whole blade spans, outboard blades had more ice structures, with ice layers reaching up to 0.3 m thick toward the blade tips. With the turbine operating data provided by the turbines’ supervisory control and data acquisition systems, icing-induced power output losses were investigated systematically. Despite the high wind, frozen turbines were discovered to rotate substantially slower and even shut down from time to time, resulting in up to 80% of icing-induced turbine power losses during the icing event. The research presented here is a comprehensive field campaign to characterize ice accretion features on full-scaled turbine blades and systematically analyze detrimental impacts of ice accumulation on the power generation of utility-scale wind turbines. The research findings are very useful in bridging the gaps between fundamental icing physics research carried out in highly idealized laboratory settings and the realistic icing phenomena observed on utility-scale wind turbines operating in harsh natural icing conditions.

scholarly journals ВІЗУАЛЬНА МАТЕМАТИЧНА МОДЕЛЬ ЕЛЕКТРОМЕХАНІЧНОЇ СИСТЕМИ ВІТРОЕНЕРГЕТИЧНОЇ УСТАНОВКИ З АЕРОДИНАМІЧНИМ МУЛЬТИПЛІКУВАННЯМ

2018 ◽  
Vol 124 (4) ◽  
pp. 45-55
Author(s):  
Д. Г. Алексієвський ◽  
К. В. Манаєв ◽  
О. О. Панкова ◽  
А. В. Таранець ◽  
С. Л. Шмалій
Keyword(s):  
Mathematical Model ◽  
Wind Turbine ◽  
Wind Power ◽  
Wind Turbines ◽  
Electromechanical System ◽  
Mechanical Power ◽  
Power Losses ◽  
Mean Values ◽  
Local Mean ◽  
Distribution Of Power

Building a visual mathematical model of the electromechanical wind power system with aerodynamic multiplication. In the process of constructing a visual mathematical model of the electromechanical system of wind turbines with aerodynamic multiplication, a mathematical apparatus for describing the system in local mean values of variables was used. Verification of the mathematical model was carried out in the MATLAB Simulink program. A visual mathematical model of the electromechanical system of wind turbines with aerodynamic multiplication is developed, which includes mechanical power losses on the shaft of the primary wind turbine. The visual mathematical model of the electromechanical system of wind power plant with aerodynamic multiplication taking into account the mechanical power losses on the shaft of the primary wind turbine with uneven distribution of power flows between the three secondary aeromechanical subsystems was proposed for the first time.

Modelling and Prevention of Ice Accretion on Wind Turbines

2001 ◽  
Vol 25 (1) ◽  
pp. 3-21 ◽  
Author(s):  
Lasse Makkonen ◽  
Timo Laakso ◽  
Mauri Marjaniemi ◽  
Karen J. Finstad
Keyword(s):  
Wind Turbines ◽  
Ice Accretion

scholarly journals Optimal Irregular Wind Farm Design for Continuous Placement of Wind Turbines with a Two-Dimensional Jensen-Gaussian Wake Model

2018 ◽  
Vol 8 (12) ◽  
pp. 2660 ◽  
Author(s):  
Longyan Wang ◽  
Yunkai Zhou ◽  
Jian Xu
Keyword(s):  
Wind Turbine ◽  
Wind Turbines ◽  
Power Output ◽  
Wind Farm ◽  
Power Losses ◽  
Wake Effect ◽  
Coordinate Method ◽  
Wind Farm Design ◽  
Wake Model ◽  
Farm Design

Optimal design of wind turbine placement in a wind farm is one of the most effective tools to reduce wake power losses by alleviating the wake effect in the wind farm. In comparison to the discrete grid-based wind farm design method, the continuous coordinate method has the property of continuously varying the placement of wind turbines, and hence, is far more capable of obtaining the global optimum solutions. In this paper, the coordinate method was applied to optimize the layout of a real offshore wind farm for both simplified and realistic wind conditions. A new analytical wake model (Jensen-Gaussian model) taking into account the wake velocity variation in the radial direction was employed for the optimization study. The means of handling the irregular real wind farm boundary were proposed to guarantee that the optimized wind turbine positions are feasible within the wind farm boundary, and the discretization method was applied for the evaluation of wind farm power output under Weibull distribution. By investigating the wind farm layout optimization under different wind conditions, it showed that the total wind farm power output increased linearly with an increasing number of wind turbines. Under some particular wind conditions (e.g., constant wind speed and wind direction, and Weibull distribution), almost the same power losses were obtained under the wake effect of some adjacent wind turbine numbers. A common feature of the wind turbine placements regardless of the wind conditions was that they were distributed along the wind farm boundary as much as possible in order to alleviate the wake effect.

scholarly journals Sizing and Energy Management of Parking Lots of Electric Vehicles Based on Battery Storage with Wind Resources in Distribution Network

Energies ◽  
2021 ◽  
Vol 14 (20) ◽  
pp. 6755
Author(s):  
Saman Shahrokhi ◽  
Adel El-Shahat ◽  
Fatemeh Masoudinia ◽  
Foad H. Gandoman ◽  
Shady H. E. Abdel Aleem
Keyword(s):  
Objective Function ◽  
Energy Management ◽  
Wind Turbines ◽  
Distribution Network ◽  
Power Losses ◽  
Cost Index ◽  
Power Cost ◽  
Total Cost ◽  
Parking Lots ◽  
The Cost

In this paper, an optimal sizing and placement framework (OSPF) is performed for electric parking lots integrated with wind turbines in a 33-bus distribution network. The total objective function is defined as minimizing the total cost including the cost of grid power, cost of power losses, cost of charge and discharge of parking lots, cost of wind turbines as well as voltage deviations reduction. In the OSPF, optimization variables are selected as electric parking size and wind turbines, which have been determined optimally using an intelligent method named arithmetic optimization algorithm (AOA) inspired by arithmetic operators in mathematics. The load following strategy (LFS) is used for energy management in the OSPF. The OSPF is evaluated in three cases of the objective function such as minimizing the cost of power losses, minimizing the network voltage deviations, and minimizing the total objective function using the AOA. The capability of the AOA is compared with the well-known particle swarm optimization (PSO) and artificial bee colony (ABC) algorithms for solving the OSPF in the last case. The findings show that the power loss, voltage deviations, and power purchased from the grid are reduced considerably based on the OSPF using the AOA. The results show the lowest total cost of energy and also minimum network voltage deviation (third case) by the AOA in comparison with the PSO and ABC with a higher convergence rate, which confirms the better capability of the proposed method. The results of the first and second cases show the high cost of power purchased from the main grid as well as the high total cost. Therefore, the comparison of different cases confirms that considering the cost index along with losses and voltage deviations causes a compromise between different objectives, and thus the cost of purchasing power from the main network is significantly reduced. Moreover, the voltage profile of the network improves, and also the minimum voltage of the network is also enhanced using the OSPF via the AOA.

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