176个国家的10种能源技术的历史和未来预计的资本成本
Luke Hatton1, Iain Staffell2, Malte Jansen3
1Department of Chemical Engineering, Imperial College London, Exhibition Rd, London, SW7 2AZ, UK. l.hatton23@imperial.ac.uk.
Scientific data
|December 4, 2025
概括
准确的清洁能源财务建模对于气候目标至关重要. 这项研究为176个国家的10个发电技术提供了最新的资本成本估计,改进了能源系统模型.
科学领域:
- 能源经济学 能源经济学
- 气候变化缓解缓解 气候变化缓解
- 金融建模金融建模
背景情况:
- 准确的财务建模对于部署清洁能源技术来实现全球气候目标至关重要.
- 关于能源发电资本成本的现有数据往往是过时的,专有的和地理上有限的.
- 这种数据缺口导致在能源系统模型中使用通用假设,可能会影响脱碳化场景的结果.
研究的目的:
- 为各种清洁发电技术提供更新的,国家一级的资本成本估计.
- 提高用于探索未来脱碳路径的能源系统模型的准确性.
- 让研究人员,政策制定者和行业利益相关者更容易获得关键的财务数据.
主要方法:
- 估计10种发电技术 (例如太阳能,风能,生物能源,碳捕获天然气) 的资本成本.
- 对176个国家进行国家级数据收集和分析.
- 数据涵盖2015年至2030年期间,包括27,640个数据点.
主要成果:
- 全面估计国家一级关键清洁能源技术的资本成本.
- 一个涵盖176个国家的数据集,预计到2030年,解决数据稀缺问题.
- 开发一个交互式网络工具 (wacc-forecaster.streamlit.app) 用于数据可视化和可访问性.
结论:
- 该研究提供了一个重要的数据驱动资源,用于提高能源系统模型的财务现实性.
- 提高数据可访问性有助于为清洁能源部署做出更准确的规划和投资决策.
- 解决资本成本的数据限制对于加速向可持续能源系统的过渡至关重要.
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