Cost Development and Cost Drivers in UK Offshore Wind Farms

ABSTRACT The offshore wind industry faces challenges of impairments, project abandonment, and no bids in auction rounds, following several years of cost increases and project delays. Both industry and government rely on cost reductions. Companies struggle with low business‐economic profitability, and taxpayers require a justification for government subsidies. At the same time, consumers and industry are concerned with high electricity prices. Industrialization and learning effects in the supply chain could potentially represent a path forward, as they have proven to be in the onshore wind industry. In the context of capacity unit costs (CAPEX/MW) of UK bottom‐fixed offshore wind farms, we study the prevalence of various drivers of cost developments: technological innovation, economies of scale, learning curves, and trends in cost drivers such as water depth and distance to shore. Compared with previous studies, we use a substantially larger dataset and investigate the drivers of cost development jointly. Our dataset consists of 39 wind farms commissioned between 2000 and 2023. Results show that both economies of scale and technological innovation tend to reduce costs. Nevertheless, the cost‐increasing effect of new wind farms being situated farther offshore and in deeper waters has dominated and thus increased the overall cost level—an 8.4% cost increase per doubling of installed capacity. The conditional learning rate is found to be −21%. An explanation for this “anti‐learning” could be a short‐run trade‐off between learning and technological innovation.

Authors

Institutions

Publication Details

Journal
Wind Energy
Published
2025-07-25
DOI
https://doi.org/10.1002/we.70048
Citations
2
Primary Topic
Marine and Offshore Engineering Studies
Type
article
Field-Weighted Citation Impact
2.29
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Cost Development and Cost Drivers in UK Offshore Wind Farms

Petter Osmundsen, Sindre Lorentzen
2 citations
Wind Energy
Marine and Offshore Engineering Studies
2.29
article

Cost Development and Cost Drivers in UK Offshore Wind Farms

Petter Osmundsen, Sindre Lorentzen
article en
2 citations

Abstract

ABSTRACT The offshore wind industry faces challenges of impairments, project abandonment, and no bids in auction rounds, following several years of cost increases and project delays. Both industry and government rely on cost reductions. Companies struggle with low business‐economic profitability, and taxpayers require a justification for government subsidies. At the same time, consumers and industry are concerned with high electricity prices. Industrialization and learning effects in the supply chain could potentially represent a path forward, as they have proven to be in the onshore wind industry. In the context of capacity unit costs (CAPEX/MW) of UK bottom‐fixed offshore wind farms, we study the prevalence of various drivers of cost developments: technological innovation, economies of scale, learning curves, and trends in cost drivers such as water depth and distance to shore. Compared with previous studies, we use a substantially larger dataset and investigate the drivers of cost development jointly. Our dataset consists of 39 wind farms commissioned between 2000 and 2023. Results show that both economies of scale and technological innovation tend to reduce costs. Nevertheless, the cost‐increasing effect of new wind farms being situated farther offshore and in deeper waters has dominated and thus increased the overall cost level—an 8.4% cost increase per doubling of installed capacity. The conditional learning rate is found to be −21%. An explanation for this “anti‐learning” could be a short‐run trade‐off between learning and technological innovation.

Wind EnergyVol. 28(9)
University of Stavanger (NO)
Openalex Percentile: Top 12%
Marine and Offshore Engineering Studies
2.29
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.