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

Perez-Moreno, S. Sanchez; Zaaijer, M. B.; Bottasso, C. L.; Dykes, K.; Merz, K. O.; Rethore, P-E; Zahle, F.

doi:10.1088/1742-6596/753/6/062011

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

Journal Article · Mon Oct 03 00:00:00 EDT 2016 · Journal of Physics. Conference Series

DOI:https://doi.org/10.1088/1742-6596/753/6/062011· OSTI ID:1377798

Perez-Moreno, S. Sanchez ^[1]; Zaaijer, M. B. ^[1]; Bottasso, C. L. ^[2]; Dykes, K. ^[3]; Merz, K. O. ^[4]; Rethore, P-E ^[5]; Zahle, F. ^[5]

TU Delft, Delft (The Netherlands)
TUM, Garching bei Munchen (Germany)
National Renewable Energy Lab. (NREL), Golden, CO (United States)
SINTEF Energy Research, Trondheim (Norway)
DTU Wind Energy, Roskilde (Denmark)

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.

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Research Organization:: National Renewable Energy Laboratory (NREL), Golden, CO (United States)

Sponsoring Organization:: USDOE Office of Energy Efficiency and Renewable Energy (EERE)

Grant/Contract Number:: AC36-08GO28308

OSTI ID:: 1377798

Report Number(s):: NREL/JA-5000-70006

Journal Information:: Journal of Physics. Conference Series, Vol. 753; ISSN 1742-6588

Publisher:: IOP PublishingCopyright Statement

Country of Publication:: United States

Language:: English

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Cited by: 4 works

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Optimal relationship between power and design-driving loads for wind turbine rotors using 1-D models Loenbaek, Kenneth; Bak, Christian; Madsen, Jens I. Wind Energy Science, Vol. 5, Issue 1 https://doi.org/10.5194/wes-5-155-2020	journal	January 2020

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