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Title: A Validation and Code-to-Code Verification of FAST for a Megawatt-Scale Wind Turbine with Aeroelastically Tailored Blades

Abstract

This paper presents validation and code-to-code verification of the latest version of the U.S. Department of Energy, National Renewable Energy Laboratory wind turbine aeroelastic engineering simulation tool, FAST v8. A set of 1,141 test cases, for which experimental data from a Siemens 2.3 MW machine have been made available and were in accordance with the International Electrotechnical Commission 61400-13 guidelines, were identified. These conditions were simulated using FAST as well as the Siemens in-house aeroelastic code, BHawC. This paper presents a detailed analysis comparing results from FAST with those from BHawC as well as experimental measurements, using statistics including the means and the standard deviations along with the power spectral densities of select turbine parameters and loads. Results indicate a good agreement among the predictions using FAST, BHawC, and experimental measurements. Here, these agreements are discussed in detail in this paper, along with some comments regarding the differences seen in these comparisons relative to the inherent uncertainties in such a model-based analysis.

Authors:
 [1];  [2];  [3];  [2];  [2];  [1]
  1. National Renewable Energy Lab. (NREL), Golden, CO (United States); Siemens Wind Power, Inc., Boulder, CO (United States)
  2. National Renewable Energy Lab. (NREL), Golden, CO (United States)
  3. Siemens Wind Power, Inc., Boulder, CO (United States)
Publication Date:
Research Org.:
National Renewable Energy Lab. (NREL), Golden, CO (United States)
Sponsoring Org.:
USDOE Office of Energy Efficiency and Renewable Energy (EERE), Wind and Water Technologies Office (EE-4W)
OSTI Identifier:
1389738
Report Number(s):
NREL/JA-5000-68025
Journal ID: ISSN 2366-7621
Grant/Contract Number:
AC36-08GO28308
Resource Type:
Journal Article: Accepted Manuscript
Journal Name:
Wind Energy Science Discussions
Additional Journal Information:
Journal Volume: 2; Journal ID: ISSN 2366-7621
Publisher:
European Academy of Wind Energy - Copernicus
Country of Publication:
United States
Language:
English
Subject:
17 WIND ENERGY; code verification; wind turbine; wind energy; FAST; simulation; analysis

Citation Formats

Guntur, Srinivas, Jonkman, Jason, Sievers, Ryan, Sprague, Michael A., Schreck, Scott, and Wang, Qi. A Validation and Code-to-Code Verification of FAST for a Megawatt-Scale Wind Turbine with Aeroelastically Tailored Blades. United States: N. p., 2017. Web. doi:10.5194/wes-2016-42.
Guntur, Srinivas, Jonkman, Jason, Sievers, Ryan, Sprague, Michael A., Schreck, Scott, & Wang, Qi. A Validation and Code-to-Code Verification of FAST for a Megawatt-Scale Wind Turbine with Aeroelastically Tailored Blades. United States. doi:10.5194/wes-2016-42.
Guntur, Srinivas, Jonkman, Jason, Sievers, Ryan, Sprague, Michael A., Schreck, Scott, and Wang, Qi. Tue . "A Validation and Code-to-Code Verification of FAST for a Megawatt-Scale Wind Turbine with Aeroelastically Tailored Blades". United States. doi:10.5194/wes-2016-42. https://www.osti.gov/servlets/purl/1389738.
@article{osti_1389738,
title = {A Validation and Code-to-Code Verification of FAST for a Megawatt-Scale Wind Turbine with Aeroelastically Tailored Blades},
author = {Guntur, Srinivas and Jonkman, Jason and Sievers, Ryan and Sprague, Michael A. and Schreck, Scott and Wang, Qi},
abstractNote = {This paper presents validation and code-to-code verification of the latest version of the U.S. Department of Energy, National Renewable Energy Laboratory wind turbine aeroelastic engineering simulation tool, FAST v8. A set of 1,141 test cases, for which experimental data from a Siemens 2.3 MW machine have been made available and were in accordance with the International Electrotechnical Commission 61400-13 guidelines, were identified. These conditions were simulated using FAST as well as the Siemens in-house aeroelastic code, BHawC. This paper presents a detailed analysis comparing results from FAST with those from BHawC as well as experimental measurements, using statistics including the means and the standard deviations along with the power spectral densities of select turbine parameters and loads. Results indicate a good agreement among the predictions using FAST, BHawC, and experimental measurements. Here, these agreements are discussed in detail in this paper, along with some comments regarding the differences seen in these comparisons relative to the inherent uncertainties in such a model-based analysis.},
doi = {10.5194/wes-2016-42},
journal = {Wind Energy Science Discussions},
number = ,
volume = 2,
place = {United States},
year = {Tue Aug 29 00:00:00 EDT 2017},
month = {Tue Aug 29 00:00:00 EDT 2017}
}

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