High costs of capital hinder the equity, speed and mitigation potential of renewable energy deployment globally: Underlying data

High costs of capital are a substantial barrier to renewables deployment in developing countries, but there is limited empirical data showing how financing costs vary across countries and between technologies. Here, using bespoke estimates for over 200 countries, we assess the impact of national costs of capital on renewable levelised costs of electricity (LCOE) through use of a geospatial model for wind and olar power. The LCOE, annual technical potential and estimates cost of capital are provided at a high geospatial granularity, using country- and technology-specific costs of capital at over 96,000 gridpoints in 2026. To improve the utility of our modelling, we provide the underlying data in this repository, covering: a) estimated cost of capital, b) LCOE under the estimated CoC, c) LCOE under the average cost of capital in advanced economies and d) annual technical potential at each location, for both wind and solar power. Updated to include modelled results under 1) new regional and national deployment costs for 2024 produced by IRENA (Renewable Power Generation Costs 2024) and 2) estimated costs of capital for 2026.资金成本高企是发展中国家可再生能源部署的重大障碍，但目前鲜有实证数据能够揭示不同国家与不同技术间的融资成本差异。本研究基于全球超200个国家的定制化估算，构建风电与太阳能发电的地理空间模型，评估国家层面资金成本对可再生能源平准化度电成本（levelised costs of electricity, LCOE）的影响。本次研究以高地理空间粒度提供相关数据：基于2026年全球超9.6万个网格点的分国、分技术资金成本数据，涵盖平准化度电成本、年度技术潜力以及资金成本估算值。 为提升本模型的实用价值，本数据集仓库一并提供基础数据集，覆盖风电与太阳能发电的四类内容：a) 资金成本估算值；b) 基于估算资金成本下的平准化度电成本；c) 基于发达经济体平均资金成本下的平准化度电成本；d) 各点位的年度技术潜力。 本数据集已完成更新，纳入两类建模结果：1) 国际可再生能源署（IRENA）在《2024年可再生能源发电成本》（Renewable Power Generation Costs 2024）中发布的2024年新版区域及国家部署成本数据，以及2) 2026年的资金成本估算值。