Long-term research challenges in wind energy  – a research agenda by the European Academy of  Wind Energy

Kuik, G.A.M. van; Peinke, Joachim; Nijssen, R.P.L.; Lekou, D.J.; Mann, Jakob; Sørensen, Jens Nørkær; Ferreira, Carlos; Wingerden, Jan‐Willem van; Schlipf, David; Gebraad, Pieter; Polinder, H.; Abrahamsen, Asger Bech; Bussel, G.J.W. Van; Sørensen, John Dalsgaard; Tavner, Peter; Bottasso, C.L.; Muskulus, Michael; Matha, Denis; Lindeboom, H.J.; Degraer, S.; Krämer, Oliver; Lehnhoff, Sebastian; Sonnenschein, Michael; Sørensen, Poul Ejnar; Künneke, Rolf W.; Morthorst, P.E.; Skytte, Klaus

doi:10.5194/wes-1-1-2016

Cited by 191 publications

(97 citation statements)

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“…The increased computational power and developments in both numerical techniques and implementation of the flow physics have enabled the use of computational fluid dynamics (CFD) and mesoscale models at a larger scale, which calls for validation with new field experiments. The need for new and higher quality field datasets, recognized in various windenergy-related forums (e.g., EWEA, 2005EWEA, , 2008Shaw et al, 2009;van Kuik et al, 2016), is driven by the increasing size of the modern wind turbines often located in complex orographies.…”

Section: Introductionmentioning

confidence: 99%

Perdigão 2015: methodology for atmospheric multi-Doppler lidar experiments

et al. 2017

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Abstract. The long-range and short-range WindScanner systems (LRWS and SRWS), multi-Doppler lidar instruments, when combined together can map the turbulent flow around a wind turbine and at the same time measure mean flow conditions over an entire region such as a wind farm. As the WindScanner technology is novel, performing field campaigns with the WindScanner systems requires a methodology that will maximize the benefits of conducting WindScannerbased experiments. Such a methodology, made up of 10 steps, is presented and discussed through its application in a pilot experiment that took place in a complex and forested site in Portugal, where for the first time the two WindScanner systems operated simultaneously. Overall, this resulted in a detailed site selection criteria, a well-thought-out experiment layout, novel flow mapping methods and high-quality flow observations, all of which are presented in this paper.

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Section: Introductionmentioning

confidence: 99%

Perdigão 2015: methodology for atmospheric multi-Doppler lidar experiments

et al. 2017

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“…According to current studies, there is an increasing market share of jackets (Smith et al, 2015). Combined with higher complexity involving many design degrees of freedom, the jacket structure is therefore a meaningful object of structural optimization approaches, which benefits massively from innovative design methods and tools (van Kuik et al, 2016). 25 rived gradients.…”

Section: Introductionmentioning

confidence: 99%

A comparison study on jacket substructures for offshore wind turbines based on optimization

Häfele¹,

Gebhardt²,

Rolfes³

2018

Preprint

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Abstract. The structural optimization problem of jacket substructures for offshore wind turbines is commonly considered as a pure tube dimensioning problem with given topology, minimizing the entire mass of the structure. However, this approach goes along with the assumption that the given topology is fixed in any case. The present work contributes to the improvement of the state of the art by utilizing more detailed models for geometry, costs, and structural design code checks. They are assembled in an optimization scheme, in order to consider the jacket optimization problem from a different point of view 5 that is closer to practical applications. The objective function is replaced by a sum term comprising several cost terms. To address the issue of high demand of numerical capacity, a machine learning approach based on Gaussian process regression is applied to reduce numerical cost and enhance the number of considered design load cases. The proposed approach is meant to provide decision guidance in the first phase of wind farm planning. A numerical example for a NREL 5 MW turbine under FINO3 environmental conditions is computed by two effective optimization methods (sequential quadratic programming and 10 an interior-point method), allowing for the estimation of characteristic design variables of a jacket substructure. In order to resolve the mixed-integer problem formulation, multiple subproblems with fixed integer design variables are solved. The approach shows reasonable and promising results, useful both for further research and technical applications.

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“…Studying of turbulent wakes for wind turbines and interactions of wakes with Atmospheric Boundary Layer (ABL) is an urgent task due to the need of assessment of deficit of velocity in wakes for wind turbines as a part of the wind farm installation [1][2][3][4]. Recently intensive researches by means of an experiments [5][6][7][8] and numerical modeling [9][10][11][12][13][14]: Large Eddy Simulation (LES), vortex and analytical models for the purpose of assessment of average and statistical characteristics for turbulence for obtaining the maximum power are conducted.…”

Section: Introductionmentioning

confidence: 99%

Multifractal Analysis of a Wake for a Single Wind Turbine

Strijhak¹,

Redondo²,

Tellez³

2017

Topical Problems of Fluid Mechanics 2017

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Wind energy is an important component of renewable energy sources. Studying of turbulent wakes for wind turbines and interactions with Atmospheric Boundary Layer is an urgent problem. The theory of chaos and fractal geometry with some research in fluid dynamics will change profoundly the scope of complex scale to scale transport in theory of turbulence, in particular when body forces, such as stratification and rotation are important. For this reason, we present some preliminary ideas and some results of the analysis of the structure function and multi-fractal behaviour of the evolution of turbulence in the wake of a single wind turbine through the scaling analysis using the program ImaCalc. The analysis of fractal dimension was performed on the results of a numerical simulation consisting on a Large-Eddy Simulation and Lagrangian Dynamic Smagorinsky Mode (LDSM)l for the wind turbine wakes in the Atmospheric Boundary Layer by OpenFoam software. The role of intermittency in wind turbine technology in the stratified Atmosphere is also discussed.

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Long-term research challenges in wind energy – a research agenda by the European Academy of Wind Energy

Cited by 191 publications

References 0 publications

Perdigão 2015: methodology for atmospheric multi-Doppler lidar experiments

Perdigão 2015: methodology for atmospheric multi-Doppler lidar experiments

A comparison study on jacket substructures for offshore wind turbines based on optimization

Multifractal Analysis of a Wake for a Single Wind Turbine

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