This study investigates the influence of glazing characteristics and shading device configuration on energy use and cost, daylighting performance and visual comfort. A typical patient room from a hospital design in Belgium is used as a baseline scenario and different window design alternatives are explored through parametric modeling. Based on the comparative analysis, the article discusses potential design options that allow for energy efficient and daylit patient rooms with higher visual comfort. The methodology combines dynamic energy simulations, daylighting and glare analysis. The results show that glazing characteristics and shading device configuration have a major impact on energy use/cost, daylighting and visual comfort and to achieve an overall good performance, selecting the right window configuration is essential. The findings indicate that pairing windows with suitable louvers configuration leads to a 40–80% reduction in cooling loads while maintaining sufficient daylighting levels (sDA_300/50%>55) and reducing the UDI_>3000lux values ca. 70%. The results suggest that the ASE metric may not provide a realistic picture regarding glare probability when we are aiming at controlling glare in specific locations within the room. This study emphasizes the need for integrated performance analysis in order to obtain a correct insight into the window systems performance. The proposed integrated approach can hence support design decisions regarding the most preferred window system to better fulfill the project objectives.

本研究调查了玻璃特性和遮阳装置配置对能源使用和成本、采光性能和视觉舒适度的影响。比利时医院设计的典型病房被用作基线场景，并通过参数化建模探索不同的窗口设计替代方案。在比较分析的基础上，本文讨论了潜在的设计选项，以实现具有更高视觉舒适度的节能和采光病房。该方法结合了动态能量模拟、采光和眩光分析。结果表明，玻璃特性和遮阳装置配置对能源使用/成本、采光和视觉舒适度有重大影响，要实现整体良好的性能，选择正确的窗户配置至关重要。_300/50% >55) 并降低 UDI _>3000lux值约。70%。结果表明，当我们的目标是控制房间内特定位置的眩光时，ASE 指标可能无法提供有关眩光概率的真实情况。本研究强调需要进行综合性能分析，以便正确了解窗户系统的性能。因此，提议的集成方法可以支持关于最优选的窗户系统的设计决策，以更好地实现项目目标。