Anshul

This dataset accompanies the paper “Hydrogen as a Future Fuel for Power Generation: A Global Project-Based Analysis Using MATLAB and IEA Database”. It provides a cleaned and structured subset of the International Energy Agency (IEA) Hydrogen Projects Database (2024), together with the MATLAB/Simulink models and simulation outputs used for the global analysis of hydrogen-based power generation. The project-level dataset covers approximately 780 hydrogen projects worldwide and includes key variables such as project name, country/region, year of commissioning, hydrogen production technology (e.g. electrolysis, fossil-based with CCS, other emerging routes), project status (planned, under construction, operational, decommissioned) and installed power capacity (MW). The raw IEA export was pre-processed in MATLAB to remove duplicate records, drop entries with missing or inconsistent capacity values, standardise technology categories and harmonise date formats. The resulting table is suitable for descriptive statistics, trend analysis and visualisations of growth, technology mix, geographical distribution and scale of hydrogen projects. In addition, the dataset includes MATLAB scripts and a simplified Simulink model representing a renewable–electrolyzer–hydrogen storage–fuel cell power chain (P2H2P). Time-series outputs (e.g. renewable input power, electrolyzer power consumption, hydrogen tank state of charge, fuel cell power output and grid support) over a 24-hour period are provided in CSV/MAT format, enabling users to reproduce the qualitative system behaviour reported in the paper. This dataset can be reused to: replicate and extend the global hydrogen project analysis, test alternative classification schemes or filtering criteria on the IEA hydrogen project portfolio, perform teaching demonstrations on hydrogen energy systems and P2H2P concepts, and serve as a starting point for techno-economic optimisation, scenario studies and integration of hydrogen into future low-carbon power systems. Keywords: Hydrogen projects, IEA Hydrogen Projects Database, green hydrogen, electrolysis, power generation, MATLAB, Simulink, P2H2P, energy storage, decarbonisation.本数据集配套于论文《氢能作为未来发电燃料：基于MATLAB与国际能源署数据库的全球项目级分析》。该数据集包含经清洗与结构化处理的2024版国际能源署（International Energy Agency, IEA）氢能项目数据库子集，同时配套用于全球氢能发电分析的MATLAB/Simulink模型与仿真输出结果。 本项目级数据集涵盖全球约780个氢能项目，包含项目名称、国家/地区、投运年份、氢能生产技术（如电解制氢、带碳捕获与封存（Carbon Capture and Storage, CCS）的化石燃料制氢及其他新兴技术路线）、项目状态（规划中、建设中、已投运、已退役）以及装机功率容量（兆瓦，MW）等关键变量。原始IEA导出数据经MATLAB预处理，完成了重复记录剔除、缺失或不一致容量值条目删除、技术类别标准化与日期格式统一等操作。最终生成的数据表适用于氢能项目的描述性统计、趋势分析以及增长态势、技术结构、地域分布与项目规模的可视化研究。 此外，本数据集还包含MATLAB脚本与一套简化的Simulink模型，用于表征可再生能源-电解制氢-氢能存储-燃料电池发电链（P2H2P）。数据集提供了24小时周期内的时序输出数据（如可再生能源输入功率、电解器功耗、氢能储罐荷电状态、燃料电池功率输出以及电网支撑数据），格式涵盖CSV与MAT，可支持用户复现论文中报道的系统定性运行特性。 本数据集可复用至以下场景： 1. 复现并拓展全球氢能项目分析研究； 2. 针对IEA氢能项目库测试替代分类方案或筛选准则； 3. 开展氢能能源系统与P2H2P概念的教学演示； 4. 作为技术经济优化、情景分析以及氢能融入未来低碳电力系统研究的起点。 关键词：氢能项目、国际能源署氢能项目数据库、绿氢、电解制氢、发电、MATLAB、Simulink、P2H2P、储能、脱碳。