Energinet Launches Offshore Wind Assessment Tender for North Sea Energy Island

The Danish transmission system operator (TSO) Energinet has opened a tender for a consultancy service to do a wind site assessment regarding metocean conditions for the North Sea Energy Island.

Under this tender, the consultant will assess the normal and extreme metocean conditions within the site that will form part of the larger site conditions assessment and will serve as a basis for the design of the artificial island, located in the Danish North Sea.

The assessment is expected to begin in the first quarter of 2023 (mid-January 2023).

The full suite of tender documents, including tender conditions, scope of services, and contract draft will be issued to the prequalified applicants upon prequalification.

Applications for the tender can be sent until 5 December.

The North Sea Energy Island will be an artificial island constructed 80 kilometres from the shore of the peninsula Jutland.

The political agreement on the construction of an energy hub in the Danish North Sea was reached in February 2021, with an aim of installing 200 wind turbines with a combined capacity of 3 GW in the first phase of the project (by 2033) and expanding this to 10 GW in the second phase (by 2040).

As reported in the Premium section on Offshore Energy, these offshore wind capacities are planned to be increased, with the Danish Energy Agency (DEA) also considering the possibility of the North Sea Energy Island being capable of having 40 GW of installed offshore wind by 2040.

The tender for the construction and operation of the Danish North Sea Energy Island is expected to be launched in Spring 2023, as a new political agreement was reached on the tender rules.

This Summer, the Danish Energy Agency (DEA) announced it had pushed back the start date for the tender to build the North Sea Energy Island by up to twelve months, expecting it to be launched in September 2023, as the Agency saw a need for further tender preparatory work in order to reap Denmark’s offshore wind resources in an optimal way.

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