Historical and future projected costs of capital for ten energy technologies across 176 countries

Accelerating the deployment of clean generation technologies will be key to achieving global climate targets, yet accurately modelling the financial conditions they face is challenging. The cost of capital (or discount rate) is a key input for energy system models, which are used widely to explore future decarbonisation scenarios. Despite its importance, data on the cost of capital is typically outdated, closed-source and geographically concentrated. Even for countries with substantial technology deployment, accessing empirical data can be difficult, leading to the use of standard assumptions in modelling which can substantially bias results (due to the high capital intensity of clean technologies). Here, we provide estimates of the cost of capital for 10 generation technologies at a national level (including solar, wind, bioenergy, and natural gas with carbon capture) for 176 countries, for 2015 to 2030 spanning 27,640 data points. An interactive web tool available at wacc-forecaster.streamlit.app has also been produced to visualise estimates for given years, countries and technologies, making results more accessible to a range of audiences.

Authors

Institutions

Publication Details

Journal
Scientific Data
Published
2025-12-04
DOI
https://doi.org/10.1038/s41597-025-06177-0
Citations
1
Primary Topic
Integrated Energy Systems Optimization
Type
article
Field-Weighted Citation Impact
0.73
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Historical and future projected costs of capital for ten energy technologies across 176 countries

Gbemi Oluleye, Iain Staffell, Adam Hawkes, Luke Hatton et al.
1 citations
Scientific Data
Integrated Energy Systems Optimization
0.73
article

Historical and future projected costs of capital for ten energy technologies across 176 countries

Gbemi Oluleye, Iain Staffell, Adam Hawkes, Luke Hatton, Malte Jansen
article en
1 citations

Abstract

Accelerating the deployment of clean generation technologies will be key to achieving global climate targets, yet accurately modelling the financial conditions they face is challenging. The cost of capital (or discount rate) is a key input for energy system models, which are used widely to explore future decarbonisation scenarios. Despite its importance, data on the cost of capital is typically outdated, closed-source and geographically concentrated. Even for countries with substantial technology deployment, accessing empirical data can be difficult, leading to the use of standard assumptions in modelling which can substantially bias results (due to the high capital intensity of clean technologies). Here, we provide estimates of the cost of capital for 10 generation technologies at a national level (including solar, wind, bioenergy, and natural gas with carbon capture) for 176 countries, for 2015 to 2030 spanning 27,640 data points. An interactive web tool available at wacc-forecaster.streamlit.app has also been produced to visualise estimates for given years, countries and technologies, making results more accessible to a range of audiences.

Scientific DataVol. 12(1)
University of Sussex (GB), Imperial Consultants (GB), Imperial College London (GB)
Openalex Percentile: Top 21%
Integrated Energy Systems Optimization
0.73
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.

Historical and future projected costs of capital for ten energy technologies across 176 countries — Gbemi Oluleye, Iain Staffell, et al. · Scientific Data (2025) | TGRS Research Map | TGRS