Research dataset for multi-objective optimization design of photovoltaic skylights in large railway stations

The research dataset for multi-objective optimization design of photovoltaic skylights in large railway passenger stations is based on Grasshopper's Octopus plugin for multi-objective optimization, achieving the parameter set and objective function set of the converged Pareto solution. Exploring the optimal design of photovoltaic skylights for railway passenger stations in cold regions based on thermal comfort, solar radiation heat gain, and carbon emissions, providing data support and theoretical reference for architects

本数据集针对大型铁路客运站光伏天窗的多目标优化设计展开研究，基于Grasshopper的Octopus插件完成多目标优化流程，最终得到收敛帕累托解（Pareto solution）对应的参数集与目标函数集。本数据集以热舒适、太阳辐射得热及碳排放为优化目标，探索寒冷地区铁路客运站光伏天窗的最优设计方案，可为建筑设计师提供数据支撑与理论参考。