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Title: Roadmap to the multidisciplinary design analysis and optimisation of wind energy systems

Abstract

Here, a research agenda is described to further encourage the application of Multidisciplinary Design Analysis and Optimisation (MDAO) methodologies to wind energy systems. As a group of researchers closely collaborating within the International Energy Agency (IEA) Wind Task 37 for Wind Energy Systems Engineering: Integrated Research, Design and Development, we have identified challenges that will be encountered by users building an MDAO framework. This roadmap comprises 17 research questions and activities recognised to belong to three research directions: model fidelity, system scope and workflow architecture. It is foreseen that sensible answers to all these questions will enable to more easily apply MDAO in the wind energy domain. Beyond the agenda, this work also promotes the use of systems engineering to design, analyse and optimise wind turbines and wind farms, to complement existing compartmentalised research and design paradigms.

Authors:
 [1];  [1];  [2];  [3];  [4];  [5];  [5]
+ Show Author Affiliations
  1. TU Delft, Delft (The Netherlands)
  2. TUM, Garching bei Munchen (Germany)
  3. National Renewable Energy Lab. (NREL), Golden, CO (United States)
  4. SINTEF Energy Research, Trondheim (Norway)
  5. DTU Wind Energy, Roskilde (Denmark)
Publication Date:
Research Org.:
National Renewable Energy Laboratory (NREL), Golden, CO (United States)
Sponsoring Org.:
USDOE Office of Energy Efficiency and Renewable Energy (EERE)
OSTI Identifier:
1377798
Report Number(s):
NREL/JA-5000-70006
Journal ID: ISSN 1742-6588
Grant/Contract Number:  
AC36-08GO28308
Resource Type:
Accepted Manuscript
Journal Name:
Journal of Physics. Conference Series
Additional Journal Information:
Journal Volume: 753; Journal ID: ISSN 1742-6588
Publisher:
IOP Publishing
Country of Publication:
United States
Language:
English
Subject:
17 WIND ENERGY; wind energy systems; Multidisciplinary Design Analysis and Optimisation; MDAO

Citation Formats

Perez-Moreno, S. Sanchez, Zaaijer, M. B., Bottasso, C. L., Dykes, K., Merz, K. O., Rethore, P-E, and Zahle, F. Roadmap to the multidisciplinary design analysis and optimisation of wind energy systems. United States: N. p., 2016. Web. doi:10.1088/1742-6596/753/6/062011.
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Perez-Moreno, S. Sanchez, Zaaijer, M. B., Bottasso, C. L., Dykes, K., Merz, K. O., Rethore, P-E, & Zahle, F. Roadmap to the multidisciplinary design analysis and optimisation of wind energy systems. United States. https://doi.org/10.1088/1742-6596/753/6/062011
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Perez-Moreno, S. Sanchez, Zaaijer, M. B., Bottasso, C. L., Dykes, K., Merz, K. O., Rethore, P-E, and Zahle, F. Mon . "Roadmap to the multidisciplinary design analysis and optimisation of wind energy systems". United States. https://doi.org/10.1088/1742-6596/753/6/062011. https://www.osti.gov/servlets/purl/1377798.
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@article{osti_1377798,
title = {Roadmap to the multidisciplinary design analysis and optimisation of wind energy systems},
author = {Perez-Moreno, S. Sanchez and Zaaijer, M. B. and Bottasso, C. L. and Dykes, K. and Merz, K. O. and Rethore, P-E and Zahle, F.},
abstractNote = {Here, a research agenda is described to further encourage the application of Multidisciplinary Design Analysis and Optimisation (MDAO) methodologies to wind energy systems. As a group of researchers closely collaborating within the International Energy Agency (IEA) Wind Task 37 for Wind Energy Systems Engineering: Integrated Research, Design and Development, we have identified challenges that will be encountered by users building an MDAO framework. This roadmap comprises 17 research questions and activities recognised to belong to three research directions: model fidelity, system scope and workflow architecture. It is foreseen that sensible answers to all these questions will enable to more easily apply MDAO in the wind energy domain. Beyond the agenda, this work also promotes the use of systems engineering to design, analyse and optimise wind turbines and wind farms, to complement existing compartmentalised research and design paradigms.},
doi = {10.1088/1742-6596/753/6/062011},
journal = {Journal of Physics. Conference Series},
number = ,
volume = 753,
place = {United States},
year = {Mon Oct 03 00:00:00 EDT 2016},
month = {Mon Oct 03 00:00:00 EDT 2016}
}
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Journal Article:
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Publisher's Version of Record
https://doi.org/10.1088/1742-6596/753/6/062011
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Works referenced in this record:

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    Works referencing / citing this record:

    Optimal relationship between power and design-driving loads for wind turbine rotors using 1-D models
    journal, January 2020

    • Loenbaek, Kenneth; Bak, Christian; Madsen, Jens I.
    • Wind Energy Science, Vol. 5, Issue 1
    • DOI: 10.5194/wes-5-155-2020

    Optimal relationship between power and design-driving loads for wind turbine rotors using 1-D models
    journal, January 2020

    • Loenbaek, Kenneth; Bak, Christian; Madsen, Jens I.
    • Wind Energy Science, Vol. 5, Issue 1
    • DOI: 10.5194/wes-5-155-2020
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