WIND RESOURCE ASSESSMENT OF THE SOLOVETSKY ARCHIPELAGO AND SELECTION OF OPTIMAL WIND TURBINE

2018 ◽  
Vol 2 (83) ◽  
Author(s):  
A.I. Kangash ◽  
A.S. Kostenevich ◽  
P.A. Maryandyshev ◽  
V.K. Lyubov
Keyword(s):  
Wind Turbine ◽  
Resource Assessment ◽  
Wind Resource Assessment ◽  
Wind Resource ◽  
Selection Of

Distributed wind resource assessment: Comparing measured annual energy production with predictions from computational fluid dynamics

2019 ◽  
Vol 43 (6) ◽  
pp. 657-672
Author(s):  
Devon L Martindale ◽  
Thomas L Acker
Keyword(s):  
Fluid Dynamics ◽  
Computational Fluid Dynamics ◽  
Wind Turbine ◽  
Energy Production ◽  
Resource Assessment ◽  
Energy Output ◽  
Wind Resource Assessment ◽  
Production Values ◽  
The Us ◽  
Wind Resource

The US Department of Energy’s Distributed Wind Resource Assessment Workshop identified predicting the annual energy production of a kilowatt-sized wind turbine as a key challenge. This article presents the methods and results for predicting the annual energy production of two 2.1 kW Skystream 3.7 wind turbines using computational fluid dynamics, in this case Meteodyn WT. When compared with actual production data, annual energy production values were uniformly underpredicted, with errors ranging from 1% to in excess of 30%, depending on the solver settings and boundary conditions. The most accurate of the simulations with errors consistently less than 10% were achieved when using recommended solver settings of neutral atmospheric stability, and roughness values derived from the US National Land Cover Database. The software was used to create an annual energy production map for the modeling domain, which could be a valuable tool in estimating the energy output and economic value of a proposed wind turbine.

scholarly journals Wind Turbine Wake Effects on Wind Resource Assessments – a Case Study

2020 ◽  
Vol 186 ◽  
pp. 03003
Author(s):  
Jia Yi Jin ◽  
Rizwan Ghani ◽  
Muhammad S. Virk
Keyword(s):  
Numerical Simulations ◽  
Wind Turbine ◽  
Detailed Comparison ◽  
Resource Assessment ◽  
Wind Resource Assessment ◽  
Wind Park ◽  
Wind Resource ◽  
Turbine Wake ◽  
Wind Turbine Wake

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.

scholarly journals Wind Turbine Ice Detection Using AEP Loss Method – A Case Study

2021 ◽  
Author(s):  
Jia Yi Jin ◽  
Timo Karlsson ◽  
Muhammad S. Virk
Keyword(s):  
Wind Turbine ◽  
Arctic Region ◽  
Resource Assessment ◽  
Cfd Simulations ◽  
Good Tool ◽  
Wind Resource Assessment ◽  
Wind Park ◽  
Ice Detection ◽  
Wind Resource

Abstract. Ice detection of wind turbine and estimating the resultant production losses is challenging, but very important, as wind energy project decisions in cold regions are based on these estimated results. This paper describes the comparison of a statistical (T19IceLossMethod) and numerical (Computational Fluid Dynamics, CFD) case study of wind resource assessment and estimation of resultant Annual Energy Production (AEP) due to ice of a wind park in ice prone cold region. Three years Supervisory Control and Data Acquisition (SCADA) data from a wind park located in arctic region is used for this study. Statistical analysis shows that the relative power loss due to icing related stops is the main issue for this wind park. To better understand the wind flow physics and estimation of the wind turbine wake losses, Larsen wake model is used for the CFD simulations, where results show that it is important to use the wake loss model for CFD simulations of wind resource assessment and AEP estimation of a wind park. 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 a good tool.

Wind Resource Assessment in Cold Regions - A Numerical Case Study

2018 ◽  
Vol 875 ◽  
pp. 94-99
Author(s):  
Jia Yi Jin ◽  
Pavlo Sokolov ◽  
Muhammad S. Virk
Keyword(s):  
Numerical Simulations ◽  
Wind Turbine ◽  
Energy Production ◽  
Resource Assessment ◽  
Wake Flow ◽  
Wind Resource Assessment ◽  
Flow Effects ◽  
Wind Resource ◽  
Turbine Wake ◽  
Wind Turbine Wake

This paper describes a case study of wind resource assessment in cold climate region. One-year SCADA data from a wind park has been used to make a comparison with the Computational Fluid Dynamics (CFD) based numerical simulations of wind resource assessment and Annual Energy Production (AEP). To better understand the wind turbine wake flow effects on the energy production, ‘Jessen wake model ‘is used for the numerical simulations. Results show wind resource maps at different elevations, where wind turbine wake flow effects the wind turbine performance and resultant power production. CFD simulations provided a good insight of the flow behavior across each wind turbine, which helped to better understand the wind turbine wake flow effects on wind turbine performance and annual energy production. A good agreement is found between numerical simulations and field SCADA data analysis in this study.

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