Fueling Costa Rica's Green Hydrogen Future: A Financial Roadmap for Global Leadership

This dataset contains Python code files used for modeling and simulating various aspects of renewable energy systems in Costa Rica. The models include Monte Carlo simulations for solar, wind, and hydrogen production, sensitivity analyses on key financial parameters such as CAPEX, OPEX, and discount rates, and simulations for energy storage and hydrogen demand in the transportation sector. The dataset also includes scripts for generating figures related to these simulations, providing a comprehensive overview of the financial and operational feasibility of renewable energy projects.本数据集收录用于哥斯达黎加可再生能源系统多维度建模与仿真的Python代码文件。所涉模型涵盖针对太阳能、风能及氢能产能的蒙特卡洛（Monte Carlo）仿真、针对资本性支出（Capital Expenditure，简称CAPEX）、运营性支出（Operating Expense，简称OPEX）与折现率等核心财务参数的敏感性分析，以及针对能源存储与交通运输领域氢能需求的仿真实验。本数据集同时包含用于生成上述仿真相关图表的脚本，可全面呈现可再生能源项目的财务与运营可行性全貌。