The Global and National Energy Systems Techno-Economic (GNESTE) Database: Economic and performance data for hydro power in current and future electricity systems

Here, we present a database which collates historical, current, and future cost and performance data and assumptions for hydroelectric generation from the open literature. Hydroelectric power is the largest source of renewable energy, supplying 15% of global electricity. The data are global in scope but with regional and national specificity, covers the years 2015 through to 2050, and span 1011 datapoints from 11 sources. The database enables modellers to select and justify model input data and provides a benchmark for comparing assumptions and projections to other sources across the literature to validate model inputs and outputs. It is designed to be easily updated with new sources of data, ensuring its utility, comprehensiveness, and broad applicability over time. Technoeconomic data on utility-scale hydroelectric power was collected from websites, reports, academic articles and databases of national and international organisations.本研究发布了一款数据库，该库从公开文献中整理并收录了水力发电的历史、当前及未来的成本、性能数据与相关假设。水力发电是全球规模最大的可再生能源来源，其供电量占全球总发电量的15%。该数据库的数据覆盖全球范畴，同时兼具区域与国别特异性，时间跨度为2015年至2050年，共涵盖来自11个数据源的1011条数据点。 该数据库可帮助建模人员选取模型输入数据并论证其合理性，同时提供基准参照，便于研究人员将自身假设与预测与公开文献中的其他数据源进行比对，以验证模型输入与输出的正确性。本数据库设计为支持便捷接入新数据源进行更新，以保障其长期可用性、全面性与广泛适用性。研究人员从官方网站、行业报告、学术论文以及国家与国际组织的数据库中，收集了公用事业级水力发电（utility-scale hydroelectric power）的技术经济数据。