Optimal allocation of 30 GW offshore wind power in the Norwegian economic zone

Abstract. The Norwegian Government aims to install offshore wind power with a total capacity of 30 GW by 2040, and the Norwegian Water Resources and Energy Directorate has suggested 20 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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Publication Details

Journal
Wind energy science
Published
2025-01-27
DOI
https://doi.org/10.5194/wes-10-293-2025
Citations
1
Primary Topic
Integrated Energy Systems Optimization
Type
article
Field-Weighted Citation Impact
0.73

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article

Optimal allocation of 30 GW offshore wind power in the Norwegian economic zone

Håkon Otneim, Geir Drage Berentsen, Sondre Hølleland, Ida Marie Solbrekke
1 citations
Wind energy science
Integrated Energy Systems Optimization
0.73
article

Optimal allocation of 30 GW offshore wind power in the Norwegian economic zone

Håkon Otneim, Geir Drage Berentsen, Sondre Hølleland, Ida Marie Solbrekke
article en
1 citations

Abstract

Abstract. The Norwegian Government aims to install offshore wind power with a total capacity of 30 GW by 2040, and the Norwegian Water Resources and Energy Directorate has suggested 20 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.

Wind energy scienceVol. 10(1)
NORCE Research AS (NO), Norwegian School of Economics (NO)
Norges Forskningsråd
Openalex Percentile: Top 32%
Integrated Energy Systems Optimization
0.73
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