Q Vision – Floating Wind Auction Italy FER 2 – Projected Projects & Economics

Full Project Data of Potential FER 2 Bidders

Get ahead of the Curve:

Have a full list of the potential bidders and their projects  |  See who the main players are  |  Learn the assumed technology preferences of the projects  |  Compare projects on an-apples-to-apples basis  |  See where their economics differ  |  Find​ the potential bid-winners 

Italy’s FER 2 Floating Wind Auction is set to award 3.8GW of Floating Wind Projects between 2024 and 2028. Close to 100 projects have been announced, amongst those already obtaining permits and/or EIA, yielding a handful that overruns the available Auction volume. With price-competitiveness as the next prime bidder selection criterium, we’ll be watching to see who the front runners could be. 

The auction price-cap is €185 and bidders​ are aiming to bring CapEx down to within the €4.0-4.5M/MW range, probably reason why we’ve seen some interesting changes in technology selection among the most probable bidders, including entrants of non-European suppliers.

We ran the traps on the full bidding projects list, revealing project metrics & modelled* economics, and tier-one supply chain, where possible based on assumed preferred technology. The Q Vision model is unique in that it calculates all costs at a generic level, allowing apples-to-apples comparisons between projects and technology, and also by project segments (floater, mooring, installation etc).

FER 2 Auction Package 

• May til auction: full projects metrics and economics data sheet (MSF excel)
• Post-auction: data sheet with all reported winners and full available data
• Get the above package at USD 1,150
• Optional: PBI Auction module with full data and chart reporting ability (USD 750 extra)

Go here for more information.

* The Q Vision model is based on statistical metrics and in combination with the methodology applied, returns close to realistic outcomes that are benchmarked against reported project metrics. In decades of Floating Offshore Energy development the use of modelled data in the early stages of a project not seldomly led to successful early-on selection of technology and processes, supply chain etc.

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