Gone with the Wind? Wind Farm-Induced Wakes and Regulatory Gaps

Finseraas, Eirik; Anchustegui, Ignacio Herrera; Cheynet, Etienne; Gebhardt, Cristian Guillermo; Reuder, Joachim

doi:10.2139/ssrn.4309458

Cited by 1 publication

(1 citation statement)

References 52 publications

(113 reference statements)

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“…This is based on the somewhat rough calculation that a wind farm of around 200 turbines will require a square of 15 × 15 km 2 , and we require at least 10 km between the farms to minimize the interactions between the wind farms. This seems reasonable compared to the minimum distances to the nearest wind farms for existing and planned offshore wind parks (see Figure 3 of Finserås et al (2024)). The two offshore areas opened for wind farm development in Norwegian waters, UN and SN2, have a planned operational limit of 5km between adjacent wind farms (Norwegian Water Resources and Energy Directorate, 2018).…”

Section: Algorithm 1 Algorithm Of Selecting Candidate Locationssupporting

confidence: 61%

Optimal allocation of 30GW offshore wind power in the Norwegian Economic Zone

Hølleland,

Berentsen,

Otneim

et al. 2024

Preprint

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Abstract. The Norwegian government aims to install offshore wind power with a total capacity of 30 gigawatts by 2040, and the Norwegian Water Resources and Energy Directorate has suggested twenty candidate regions. We show that the potential for reducing overall power production variance across these regions is high using modern portfolio theory and the hourly and spatially rich reanalysis NORA3 Wind Power data set (NORA3-WP). The geographical diversification effect is demonstrated under various relevant scenarios, including a sequential build-out scenario with a fully connected Norwegian power grid assumption. By considering 20 alternative regions selected using a recently developed suitability score, we further illustrate that the diversification effect is robust to location changes.

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Section: Algorithm 1 Algorithm Of Selecting Candidate Locationssupporting

confidence: 61%