广州地区高层办公建筑外窗自适应策略节能效果研究

建筑外窗的热工性能对建筑能耗具有重要且复杂的影响,本文围绕自适应围护结构概念,以广州地区高层办公建筑为研究对象,通过EnergyPlus耦合Python批量数值模拟的方法,分析总结了变传热系数(U值)、变太阳得热系数(SHGC)与可见光透射比(τv值)外窗的自适应策略,并研究了其节能效果。结果表明,变U值外窗节能率较低,节能空间小,且由于变U值技术实现难度高,目前广州地区外窗U值没有变化必要性。总的来看,变SHGC/τv值外窗对建筑的照明能耗影响较大。广州地区高层办公建筑外窗的最佳SHGC/τv值是满足照明能耗最低的最小τv值,实现最低照明能耗基础上的最少太阳辐射得热。变SHGC/τv值外窗在各朝向均有明显节能效果,节能率均在10%以上。

Approach for improved development of advanced driver assistance systems for future smart mobility concepts

To use the benefits of Advanced Driver Assistance Systems(ADAS)-Tests in simulation and reality a new approach for using Augmented Reality(AR)in an automotive vehicle for testing ADAS is presented in this paper.Our procedure provides a link between simulation and reality and should enable a faster development process for future increasingly complex ADAS tests and future mobility solutions.Test fields for ADAS offer a small number of orientation points.Furthermore,these must be detected and processed at high vehicle speeds.That requires high computational power both for developing our method and its subsequent use in testing.Using image segmentation(IS),artificial intelligence(AI)for object recognition,and visual simultaneous localization and mapping(vSLAM),we aim to create a three-dimensional model with accurate information about the test site.It is expected that using AI and IS will significantly improve performance as computational speed and accuracy for AR applications in automobiles.