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Offshore Electricity Infrastructure in Europe - European Wind Energy ...

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Methodology – Simulation <strong>in</strong>puts and Models<br />

The <strong>Offshore</strong>Grid results are based on detailed generation<br />

modell<strong>in</strong>g, market and grid power flow modell<strong>in</strong>g<br />

and <strong>in</strong>frastructure cost modell<strong>in</strong>g. Each of the modell<strong>in</strong>g<br />

tasks is already a significant challenge <strong>in</strong> its own<br />

right and there is no <strong>in</strong>tegrated model that could solve<br />

the envisaged optimisation goal to determ<strong>in</strong>e an optimal<br />

offshore grid. The consortium therefore set up a<br />

stepwise methodology <strong>in</strong> which different models are<br />

comb<strong>in</strong>ed <strong>in</strong> an iterative approach. All <strong>in</strong> all, four major<br />

models were developed and applied: the w<strong>in</strong>d series<br />

power model, the power market and power flow model,<br />

the <strong>in</strong>frastructure cost model and the case-<strong>in</strong>dependent<br />

model.<br />

The w<strong>in</strong>d series power model created w<strong>in</strong>d power time<br />

series that fed <strong>in</strong>to the power market and power flow<br />

model. This model was then comb<strong>in</strong>ed with the <strong>in</strong>frastructure<br />

cost model <strong>in</strong> order to obta<strong>in</strong> results on case<br />

studies, to determ<strong>in</strong>e which offshore configuration<br />

was the most suitable. Output from these two models<br />

was also used <strong>in</strong> the case-<strong>in</strong>dependent model, which<br />

creates general overall conclusions that can be applied<br />

to most offshore scenarios. This design loop is<br />

illustrated <strong>in</strong> Figure 3.1.<br />

The follow<strong>in</strong>g sections briefly describe the key features<br />

of each model. Annex C expla<strong>in</strong>s them <strong>in</strong> more detail.<br />

3.1 W<strong>in</strong>d power series model<br />

On- and offshore w<strong>in</strong>d power have a predom<strong>in</strong>ant impact<br />

on the optimal grid design of an offshore grid.<br />

It was therefore decided to apply a specialised w<strong>in</strong>d<br />

power model (meso-scale numerical weather prediction<br />

model) to generate high-resolution w<strong>in</strong>d power<br />

time series for every offshore w<strong>in</strong>d farm and every<br />

onshore w<strong>in</strong>d region identified <strong>in</strong> the developed scenarios<br />

[25]. This was performed by first modell<strong>in</strong>g the<br />

w<strong>in</strong>d <strong>in</strong> the desired region, which was done through<br />

FIGURE 3.1: SchEMATIc EXPlANATION OF ThE INTERAcTION bETWEEN ThE MOdElS IN OFFShOREGRId<br />

<strong>Infrastructure</strong><br />

cost model<br />

data collection and scenario development<br />

Power market and<br />

power flow model<br />

• Cost benefit results for different offshore grid build<strong>in</strong>g blocks<br />

• Fundamental design guidel<strong>in</strong>es<br />

• Cost efficient overall grid design<br />

W<strong>in</strong>d series<br />

power model<br />

case-<strong>in</strong>dependent<br />

model<br />

28 <strong>Offshore</strong>Grid – F<strong>in</strong>al Report

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