【摘要】 中庭作为图书馆建筑常见的空间形式，在改善室内采光等物理环境的同时易引发热工负荷的协同优化难题。以郑州地区图书馆中庭建筑为研究对象，提出基于Morris全局敏感性分析的参数敏感度分级方法，旨在为多目标优化设计提供变量筛选依据。通过Grasshopper平台构建包含空间形态、界面参数和围护材料3类变量的参数化模型，结合Ladybug Tools完成动态采光(DA₃₀₀、UDI_100～2000)与能耗（EUI）模拟，利用SimLab完成152组Morris抽样计算。结果表明：（1）中庭平面形态控制点(F₁a_1～4)、剖面展开角（Section）与立面窗墙比（WWR）、百叶角度（Angle）对采光-能耗目标的敏感度显著高于其他参数（μ排序前4位）;（2）剖面展开角（Section）、立面窗墙比（WWR）与百叶角度（Angle）在光热性能间存在显著交互效应；（3）围护材料参数（传热系数、可见光反射比）的敏感度贡献度不足8%。提出了以平面形态控制点、剖面展开角、立面窗墙比及百叶角度为核心的多目标优化变量集，为寒冷地区中庭建筑的协同设计提供了参数化决策路径。更多还原

【Abstract】 The atrium, a prevalent spatial feature in library architecture, enhances indoor daylighting performance but often introduces challenges in coordinating thermal load optimization. This study investigates the synergistic design of library atriums in Zhengzhou, a cold climate region, by proposing a parameter sensitivity classification method grounded in Morris global sensitivity analysis. The aim is to establish a variable screening framework for multi-objective optimization. A parametric model integrating three categories of variables-spatial morphology, interface parameters, and enclosure materials is developed using the Grasshopper platform. Dynamic daylighting metrics(Daylight Autonomy DA₃₀₀ and Useful Daylight Illuminance UDI_100-2000) and energy consumption（Energy Use Intensity, EUI） are simulated via Ladybug Tools, while 152 Morris sampling calculations are conducted using SimLab. Key findings include:（1） The control points of the atrium floor plan(F₁a_1-4), sectional expansion angle（Section）, window-to-wall ratio（WWR）, and louver tilt angle（Angle） demonstrate significantly higher sensitivity to daylighting-energy objectives compared to other parameters, as reflected in their top rankings in the μ sensitivity indices;（2） Pronounced interaction effects exist among Section, WWR, and Angle in balancing photothermal performance;（3） Enclosure material parameters, including thermal conductivity and visible light reflectivity, contribute minimally to sensitivity, with a combined influence of less than eight percent. This study identifies a core set of multi-objective optimization variables, emphasizing plan form control points, sectional expansion angle, window-to-wall ratio, and shading louver angle. The findings provide a parametric decision-making framework for the integrated design of atrium buildings in cold climates.更多还原