The Global and National Energy Systems Techno-Economic (GNESTE) Database: Economic and performance data for solar 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 solar power generation from the open literature. Solar energy supplies 5% of global electricity, and production has grown ten-fold in the decade to 2022. The data are global in scope but with regional and national specificity, covers the years 2015 through to 2050, and span 753 datapoints from 31 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 solar PV was collected from websites, reports, academic articles and databases of national and international organisations.本研究构建了一套数据库，从公开文献中汇编了太阳能发电领域的历史、当前及未来成本、性能数据与相关假设。当前太阳能发电占全球电力供应的5%，截至2022年的十年间，其发电量增长了十倍。该数据库的研究范围覆盖全球，但兼顾区域与国家层面的特异性，涵盖2015至2050年的时间跨度，共收录来自31个来源的753条数据点。 该数据库可协助建模人员遴选并论证模型输入数据的合理性，同时提供基准框架，支持将本研究的假设与预测结果与公开文献中的其他同类来源进行比对，从而验证模型输入与输出的准确性。本数据库设计为可便捷接入新的数据来源进行更新，以长期维持其实用性、全面性与广泛适用性。本次收录的公用事业级太阳能光伏发电（utility-scale solar PV）技术经济数据，来源于各类网站、研究报告、学术论文以及各国及国际组织的数据库。