Various techniques have been used by researchers to detect and estimate the associated parameters of atmospheric ice accretion on structures like wind turbine blades in cold regions. Most of these techniques did not perform well in harsh weather conditions. This paper describes a passive thermal Infrared based technique to detect ice on wind turbine blades. To validate the concept and perform this lab based study, a comprehensive lab setup at cold room chamber of Narvik University College was designed, that consists of a very long wavelength thermal infrared camera (λ = 17 μm), frequency controlled low speed ice generator, data acquisition system, associated electronics and computational resources. Thermal infrared images of scaled wind turbine model in cold environment were processed using image processing techniques to study the temperature and emissivity distribution along wind turbine blade, which provided more accurate results as compared to the point sensors, where extensive computation and material degradation under freezing temperatures is a constant problem.
This paper describes a case study of wind resource assessment and wind park design at Solovetsky Islands, which are located in the Arctic region of northern Russia. The Solovetsky historical and cultural complex has been included in the list of UNESCO's World Heritage Sites. 18 year's data of wind climatology from the NASA Langley Research Center (LaRC) is used for wind resource assessment at Solovetsky Islands for two different wind park locations. Computational Fluid Dynamics (CFD) based numerical simulations are carried out for wind resource assessment and for the estimation of the resultant Annual Energy Production (AEP) for both locations. To better understand wind flow physics and effects of wind turbine wake effects, three different wake models are used for the numerical simulations. Analyses of seasonal weather effects on energy production show that wind power production at Solovetsky Islands is higher during winter period as compared to summer period, mainly due to higher wind speeds and air density at cold winter conditions. A preliminary case study about wind park layout optimization has also been carried out, where results show an increase in AEP with the optimization of wind park layout.
This paper describes a case study of wind turbine wake loss effects on wind resource assessment in cold region. One year wind park SCADA data is used. Computational Fluid Dynamics (CFD) based numerical simulations are carried out for wind resource assessment and estimation of resultant Annual Energy Production (AEP). Numerical results are compared with the field SCADA data, where a good agreement is found. To better understand the wind flow physics and effects of wind turbine turbulence wake loss effects, three different wake loss models are used for the numerical simulations, where results with wake model is found in best agreement with the AEP estimation from field SCADA data. A detailed comparison of all wind turbines is also presented with the gross AEP. A preliminary case study about wind park layout optimization has also been carried out which shows that AEP can be improved by optimizing the wind park layout and CFD simulations can be used as a tool in this regards.
This paper aims to analyse the current situation of the energy system of the remote island territory of Solovetsky Archipelago. The Solovetsky historical and cultural complex was included in the list of UNESCO World Heritage Sites. Diesel fuel, which is used on the archipelago is expensive and pollutes the environment. By using Computational Fluid Dynamics (CFD) based numerical method, this study aims to determine the wind energy potential of the territory, which will cover part of the energy consumption. For the best use of wind potential, several variants of the location of the wind park were analyzed in this study. Thus, using wind energy, as an alternative source, the amount of emissions of harmful substances will be reduced, which is a priority for the Arctic region.
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