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Auction Studies Wind Onshore France
In France, tenders for wind onshore regulate access to feed-in support scheme which is based on a CfD system. In cooperation with our partner WattaBase, enervis offers detailed modelling of these wind onshore auctions to support market players in defining their optimal bids. For this purpose, we draw on detailed data on the bidding potential for the auctions from WattaBase as well as our comprehensive economic auction model. The enervis auction model is based on two decisive variables:
- Quantity: how much bid potential is available and will participate in the tender?
- Bid price: what bid prices can be achieved in the corresponding bid situation and where is the expected marginal price in the auction?
An extensive data set with wind turbines that can participate in the tender, which is regularly updated, forms the backbone of our auction modelling. In addition to this detailed capacity data, high-resolution yield data (wind speeds) and cost assumptions benchmarked in the market flow into an economic efficiency calculation, which is carried out for a large number of turbine type combinations. From this input data, an optimal bid price can be determined for each project in a Monte Carlo simulation. Calculated bids are lined up in a bid price curve, which can also be used to determine the probability of an award.
RESULTING PRODUCTS
- Short-term auction study for the upcoming auction round in France
- Detailed look at the quantity structure and modelled bid prices for the upcoming auction round.
- Assessment of the volume potential from plants that are eligible to participate
- Discussion of scenarios and uncertainties
- Scope: around 60 pages
We would be pleased to make you an individual offer on this topic. Please click on the button “Your inquiry” and enter your contact details. After receipt of your inquiry you will receive a confirmation of receipt by e-mail, which you can use to check the correctness of your information. As a rule, we will send you a binding offer within one working day.
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