Offshore Electricity Infrastructure in Europe - European Wind Energy ...
Offshore Electricity Infrastructure in Europe - European Wind Energy ...
Offshore Electricity Infrastructure in Europe - European Wind Energy ...
You also want an ePaper? Increase the reach of your titles
YUMPU automatically turns print PDFs into web optimized ePapers that Google loves.
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