A global dataset of the cost of capital for renewable energy projects

The cost of capital (CoC) critically influences the levelized cost of renewable energy and, by extension, the global low-carbon transition. However, reliable and consistent CoC data remain scarce, limiting an appropriate reflection of CoC differences in energy system and integrated assessment models. We present a global dataset of CoC for renewable energy projects, covering 68 countries from 2010 to 2022 and focusing on three key technologies: utility-scale solar photovoltaics, onshore wind, and offshore wind. We systematically compile and standardize data from academic literature and international organizations, ensuring methodological comparability. Our dataset includes 1,429 data points, of which 366 provide nominal, after-tax weighted average cost of capital values. We conduct technical validation through cross-technology comparisons, temporal consistency checks, and source triangulation. By addressing a key data gap, this dataset aims to support evidence-based energy policy analysis and advance the understanding of how financing conditions impact renewable energy costs globally.

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Publication Details

Journal
Scientific Data
Published
2025-10-08
DOI
https://doi.org/10.1038/s41597-025-05912-x
Citations
4
Primary Topic
Energy Load and Power Forecasting
Type
article
Field-Weighted Citation Impact
2.92

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article

A global dataset of the cost of capital for renewable energy projects

Mak Đukan, Paul Waidelich, Anurag Gumber, Florian Egli
4 citations
Scientific Data
Energy Load and Power Forecasting
2.92
article

A global dataset of the cost of capital for renewable energy projects

Mak Đukan, Paul Waidelich, Anurag Gumber, Florian Egli
article en
4 citations

Abstract

The cost of capital (CoC) critically influences the levelized cost of renewable energy and, by extension, the global low-carbon transition. However, reliable and consistent CoC data remain scarce, limiting an appropriate reflection of CoC differences in energy system and integrated assessment models. We present a global dataset of CoC for renewable energy projects, covering 68 countries from 2010 to 2022 and focusing on three key technologies: utility-scale solar photovoltaics, onshore wind, and offshore wind. We systematically compile and standardize data from academic literature and international organizations, ensuring methodological comparability. Our dataset includes 1,429 data points, of which 366 provide nominal, after-tax weighted average cost of capital values. We conduct technical validation through cross-technology comparisons, temporal consistency checks, and source triangulation. By addressing a key data gap, this dataset aims to support evidence-based energy policy analysis and advance the understanding of how financing conditions impact renewable energy costs globally.

Scientific DataVol. 12(1)
Committee on Climate Change (GB), ETH Zurich (CH), Technical University of Munich (DE)
Eidgenössische Technische Hochschule Zürich
Openalex Percentile: Top 8%
Energy Load and Power Forecasting
2.92
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