Larger MW-class floater designs without upscaling? A direct optimization approach

Research output: Contribution to conferencePaper

Abstract

The trend towards larger offshore wind turbines (WTs) implies the need for bigger support structures. These are commonly derived from existing structures through upscaling and subsequent optimization. To reduce the number of design steps, this work proposes a direct optimization approach, by which means a support structure for a larger WT is obtained through an automated optimization procedure based on a smaller existing system. Due to the suitability of floating platforms for large MWclass WTs, this study is based on the OC3 spar-buoy designed for the NREL 5 MW WT. Using a Python-Modelica framework, developed at Fraunhofer IWES, the spar-buoy geometry is adjusted through iterative optimization steps to finally support a 7.5 MW WT. The optimization procedure focuses on the global system performance in a design-relevant load case. This study shows that larger support structures, appropriate to meet the objective of the hydrodynamic system behavior, can be obtained through automated optimization of existing designs without the intermediate step of upscaling.

Conference

ConferenceASME 2019 38th International Conference on Ocean, Offshore and Arctic Engineering, OMAE 2019
CountryUnited Kingdom
CityGlasgow
Period9/06/1914/06/19

Fingerprint

Wind turbines
Offshore wind turbines
Hydrodynamics
Geometry

Keywords

  • upscaling
  • automated design optimization
  • floating platforms
  • offshore wind turbines

Cite this

Leimeister, M., Kolios, A., Collu, M., & Thomas, P. (2019). Larger MW-class floater designs without upscaling? A direct optimization approach. Paper presented at ASME 2019 38th International Conference on Ocean, Offshore and Arctic Engineering, OMAE 2019, Glasgow, United Kingdom.
Leimeister, Mareike ; Kolios, Athanasios ; Collu, Maurizio ; Thomas, Philipp. / Larger MW-class floater designs without upscaling? A direct optimization approach. Paper presented at ASME 2019 38th International Conference on Ocean, Offshore and Arctic Engineering, OMAE 2019, Glasgow, United Kingdom.11 p.
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abstract = "The trend towards larger offshore wind turbines (WTs) implies the need for bigger support structures. These are commonly derived from existing structures through upscaling and subsequent optimization. To reduce the number of design steps, this work proposes a direct optimization approach, by which means a support structure for a larger WT is obtained through an automated optimization procedure based on a smaller existing system. Due to the suitability of floating platforms for large MWclass WTs, this study is based on the OC3 spar-buoy designed for the NREL 5 MW WT. Using a Python-Modelica framework, developed at Fraunhofer IWES, the spar-buoy geometry is adjusted through iterative optimization steps to finally support a 7.5 MW WT. The optimization procedure focuses on the global system performance in a design-relevant load case. This study shows that larger support structures, appropriate to meet the objective of the hydrodynamic system behavior, can be obtained through automated optimization of existing designs without the intermediate step of upscaling.",
keywords = "upscaling, automated design optimization, floating platforms, offshore wind turbines",
author = "Mareike Leimeister and Athanasios Kolios and Maurizio Collu and Philipp Thomas",
year = "2019",
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note = "ASME 2019 38th International Conference on Ocean, Offshore and Arctic Engineering, OMAE 2019 ; Conference date: 09-06-2019 Through 14-06-2019",

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Leimeister, M, Kolios, A, Collu, M & Thomas, P 2019, 'Larger MW-class floater designs without upscaling? A direct optimization approach' Paper presented at ASME 2019 38th International Conference on Ocean, Offshore and Arctic Engineering, OMAE 2019, Glasgow, United Kingdom, 9/06/19 - 14/06/19, .

Larger MW-class floater designs without upscaling? A direct optimization approach. / Leimeister, Mareike; Kolios, Athanasios; Collu, Maurizio; Thomas, Philipp.

2019. Paper presented at ASME 2019 38th International Conference on Ocean, Offshore and Arctic Engineering, OMAE 2019, Glasgow, United Kingdom.

Research output: Contribution to conferencePaper

TY - CONF

T1 - Larger MW-class floater designs without upscaling? A direct optimization approach

AU - Leimeister, Mareike

AU - Kolios, Athanasios

AU - Collu, Maurizio

AU - Thomas, Philipp

PY - 2019/6/9

Y1 - 2019/6/9

N2 - The trend towards larger offshore wind turbines (WTs) implies the need for bigger support structures. These are commonly derived from existing structures through upscaling and subsequent optimization. To reduce the number of design steps, this work proposes a direct optimization approach, by which means a support structure for a larger WT is obtained through an automated optimization procedure based on a smaller existing system. Due to the suitability of floating platforms for large MWclass WTs, this study is based on the OC3 spar-buoy designed for the NREL 5 MW WT. Using a Python-Modelica framework, developed at Fraunhofer IWES, the spar-buoy geometry is adjusted through iterative optimization steps to finally support a 7.5 MW WT. The optimization procedure focuses on the global system performance in a design-relevant load case. This study shows that larger support structures, appropriate to meet the objective of the hydrodynamic system behavior, can be obtained through automated optimization of existing designs without the intermediate step of upscaling.

AB - The trend towards larger offshore wind turbines (WTs) implies the need for bigger support structures. These are commonly derived from existing structures through upscaling and subsequent optimization. To reduce the number of design steps, this work proposes a direct optimization approach, by which means a support structure for a larger WT is obtained through an automated optimization procedure based on a smaller existing system. Due to the suitability of floating platforms for large MWclass WTs, this study is based on the OC3 spar-buoy designed for the NREL 5 MW WT. Using a Python-Modelica framework, developed at Fraunhofer IWES, the spar-buoy geometry is adjusted through iterative optimization steps to finally support a 7.5 MW WT. The optimization procedure focuses on the global system performance in a design-relevant load case. This study shows that larger support structures, appropriate to meet the objective of the hydrodynamic system behavior, can be obtained through automated optimization of existing designs without the intermediate step of upscaling.

KW - upscaling

KW - automated design optimization

KW - floating platforms

KW - offshore wind turbines

M3 - Paper

ER -

Leimeister M, Kolios A, Collu M, Thomas P. Larger MW-class floater designs without upscaling? A direct optimization approach. 2019. Paper presented at ASME 2019 38th International Conference on Ocean, Offshore and Arctic Engineering, OMAE 2019, Glasgow, United Kingdom.