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Title: A Systematic Approach to Offshore Wind Turbine Jacket Pre-Design and Optimization: Geometry, Cost, and Surrogate Structural Code Check Models

The main obstacles in preliminary design studies or optimization of jacket substructures for offshore wind turbines are high numerical expenses for structural code checks and simplistic cost assumptions. In order to create a basis for fast design evaluations, this article provides the following: firstly, a jacket model is proposed that covers topology and tube sizing with a limited set of design variables. Secondly, a cost model is proposed that goes beyond the simple and common mass-dependent approach. And thirdly, the issue of numerical efficiency is addressed by surrogate models both for fatigue and ultimate limit state code checks. In addition, this work shows an example utilizing all models. The outcome can be utilized for preliminary design studies and jacket optimization schemes and is suitable for scientific and industrial applications.
Authors:
ORCiD logo [1] ;  [2] ;  [2] ;  [1] ;  [1]
  1. Leibniz Univ. of Hannover (Germany). Inst. of Structural Analysis
  2. National Renewable Energy Lab. (NREL), Golden, CO (United States)
Publication Date:
Report Number(s):
NREL/JA-5000-71491
Journal ID: ISSN 2366-7621
Grant/Contract Number:
AC36-08GO28308
Type:
Accepted Manuscript
Journal Name:
Wind Energy Science Discussions
Additional Journal Information:
Journal Volume: 3; Journal ID: ISSN 2366-7621
Publisher:
European Academy of Wind Energy - Copernicus
Research Org:
National Renewable Energy Lab. (NREL), Golden, CO (United States)
Sponsoring Org:
USDOE Office of Energy Efficiency and Renewable Energy (EERE), Wind Energy Technologies Office (EE-4WE); Lower Saxony Ministry for Science and Culture (MWK); German Research Foundation (DFG)
Country of Publication:
United States
Language:
English
Subject:
17 WIND ENERGY; 42 ENGINEERING; offshore wind turbines; jacket model; optimization
OSTI Identifier:
1457661

Hafele, Jan, Damiani, Rick, King, Ryan, Gebhardt, Cristian G., and Rolfes, Raimund. A Systematic Approach to Offshore Wind Turbine Jacket Pre-Design and Optimization: Geometry, Cost, and Surrogate Structural Code Check Models. United States: N. p., Web. doi:10.5194/wes-2018-39.
Hafele, Jan, Damiani, Rick, King, Ryan, Gebhardt, Cristian G., & Rolfes, Raimund. A Systematic Approach to Offshore Wind Turbine Jacket Pre-Design and Optimization: Geometry, Cost, and Surrogate Structural Code Check Models. United States. doi:10.5194/wes-2018-39.
Hafele, Jan, Damiani, Rick, King, Ryan, Gebhardt, Cristian G., and Rolfes, Raimund. 2018. "A Systematic Approach to Offshore Wind Turbine Jacket Pre-Design and Optimization: Geometry, Cost, and Surrogate Structural Code Check Models". United States. doi:10.5194/wes-2018-39. https://www.osti.gov/servlets/purl/1457661.
@article{osti_1457661,
title = {A Systematic Approach to Offshore Wind Turbine Jacket Pre-Design and Optimization: Geometry, Cost, and Surrogate Structural Code Check Models},
author = {Hafele, Jan and Damiani, Rick and King, Ryan and Gebhardt, Cristian G. and Rolfes, Raimund},
abstractNote = {The main obstacles in preliminary design studies or optimization of jacket substructures for offshore wind turbines are high numerical expenses for structural code checks and simplistic cost assumptions. In order to create a basis for fast design evaluations, this article provides the following: firstly, a jacket model is proposed that covers topology and tube sizing with a limited set of design variables. Secondly, a cost model is proposed that goes beyond the simple and common mass-dependent approach. And thirdly, the issue of numerical efficiency is addressed by surrogate models both for fatigue and ultimate limit state code checks. In addition, this work shows an example utilizing all models. The outcome can be utilized for preliminary design studies and jacket optimization schemes and is suitable for scientific and industrial applications.},
doi = {10.5194/wes-2018-39},
journal = {Wind Energy Science Discussions},
number = ,
volume = 3,
place = {United States},
year = {2018},
month = {5}
}