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Design limits and solutions for very large wind turbines

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Results<br />

Subtask A: Reference <strong>wind</strong> turbine <strong>and</strong> cost model<br />

As reference <strong>wind</strong> turbine an NREL 5 MW model - was<br />

used (see [1]) <strong>and</strong> improved. An overall framework <strong>for</strong><br />

an optimal design of <strong>wind</strong> <strong>turbines</strong> was <strong>for</strong>mulated,<br />

taking up-scaling <strong>and</strong> cost modelling into account [2]<br />

<strong>and</strong> [3]. The approach is based on a life-cycle analysis<br />

including all the expected costs <strong>and</strong> benefi ts throughout<br />

the lifetime of the <strong>wind</strong> turbine (<strong>wind</strong> farm).<br />

The cost model was developed <strong>for</strong> <strong>wind</strong> turbine upscaling<br />

up to 20 MW. These <strong>wind</strong> <strong>turbines</strong> are expected<br />

to have a rotor diameter of approximately 250m<br />

<strong>and</strong> a hub height of 153m. A theoretical framework <strong>for</strong><br />

a risk-based optimal design of <strong>large</strong> <strong>wind</strong> <strong>turbines</strong> was<br />

<strong>for</strong>mulated. Three types of <strong>for</strong>mulation were made: 1)<br />

a risk / reliability-based <strong>for</strong>mulation, 2) a deterministic,<br />

code-based <strong>for</strong>mulation <strong>and</strong> 3) a crude deterministic<br />

<strong>for</strong>mulation. These <strong>for</strong>mulations are described in<br />

[2] <strong>and</strong> [3].<br />

In the third <strong>for</strong>mulation (crude, deterministic), generic<br />

cost models are given as a function of the design<br />

parameters using basic up-scaling laws adjusted <strong>for</strong><br />

technology improvement effects. There, the optimal<br />

design is the one which minimises the levelised<br />

production costs. The main design parameters are: the<br />

rotor diameter, the hub height, the tip speed <strong>and</strong> where<br />

the <strong>wind</strong> <strong>turbines</strong> are placed in relation to one another<br />

in <strong>wind</strong> farms. In a more detailed approach, the crosssectional<br />

dimensions (such as the geometry of the<br />

blade or the tower), the O&M strategy, or more refi ned<br />

input parameters can be included. External design<br />

parameters are fi xed regarding the size of the <strong>wind</strong> farm<br />

(in terms of MW capacity <strong>and</strong> / or the geographical area<br />

covered by the <strong>wind</strong> farm), the <strong>wind</strong> climate including<br />

the terrain (mean <strong>wind</strong> speed <strong>and</strong> turbulence), wave <strong>and</strong><br />

current climate (offshore), water depth, soil conditions<br />

<strong>and</strong> distance from l<strong>and</strong> (or nearest harbour).<br />

The cost model is based on a life-cycle approach<br />

including all capitalised costs. The main up-scaling<br />

parameter is typically the rotor diameter. The cost<br />

model is basically <strong>for</strong>mulated as function of this<br />

design parameter using an up-scaling factor with an<br />

up-scaling exponent (typically 3) <strong>and</strong> a time-dependent<br />

technology improvement factor.<br />

Subtask B: Integral design approach methodology<br />

UpWind addresses the full life-cycle of the <strong>large</strong>-scale<br />

<strong>wind</strong> <strong>turbines</strong> of the future, including the technical <strong>and</strong><br />

commercial aspects. However, non-technical disciplines<br />

do not use any kind of model that is compatible with<br />

the technical disciplines. There is a strong need <strong>for</strong><br />

new design paradigms that are able to account <strong>for</strong> both<br />

technical <strong>and</strong> non-technical disciplines within the same<br />

framework so that manufacturing, transport, installation<br />

<strong>and</strong> O&M procedures become design parameters<br />

rather than constraints. A new design approach was<br />

proposed in UpWind. This approach is based on the<br />

principles of systems engineering <strong>and</strong> features elements<br />

of Multi-disciplinary <strong>Design</strong> Optimisation (MDO),<br />

Knowledge Based Engineering (KBE) <strong>and</strong> Mono-disciplinary<br />

Computational Analysis Methods (MCAM).<br />

The approach requires knowledge on the design processes<br />

of the <strong>wind</strong> turbine <strong>and</strong> their subsystems to be<br />

captured <strong>and</strong> written down. The <strong>wind</strong> turbine technologies<br />

currently applied are in this approach, as well as<br />

those being studied <strong>and</strong> developed within the UpWind<br />

project. The captured knowledge is analysed <strong>and</strong> translated<br />

into knowledge applications through KBE. These<br />

applications address the following areas of the design:<br />

<strong>Design</strong> <strong>limits</strong> <strong>and</strong> <strong>solutions</strong> <strong>for</strong> <strong>very</strong> <strong>large</strong> <strong>wind</strong> <strong>turbines</strong><br />

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