This paper presents a structured, generically applicable, method for using building performance simulation to aid the development of comfort-driven solar shading controls by mapping predicted occupant comfort conditions to sensor measurements. The method uses confusion matrices as a statistical classification approach to facilitate (i) selection of sensor deployment strategies that offer beneficial trade-offs considering multiple performance aspects and (ii) identification of control algorithms that optimise comfort conditions using non-ideal sensors. The support method requires relatively little effort from a developer, only a small number of simulations and fits well within the current practice of shading control development. The method is tested using a sun-tracking control strategy for indoor roller blinds as a case study, which demonstrates that the method can identify high-performance solutions. Finally, generally applicable features of the method are extrapolated from the case study, and alternative applications and the method’s limitations are discussed.

本文提出了一种结构化的、普遍适用的方法，通过将预测的居住者舒适条件映射到传感器测量值，使用建筑性能模拟来帮助开发舒适驱动的遮阳控制。该方法使用混淆矩阵作为统计分类方法，以促进 (i) 选择传感器部署策略，这些策略提供考虑多个性能方面的有利权衡，以及 (ii) 识别使用非理想传感器优化舒适条件的控制算法。该支持方法需要开发人员相对较少的努力，只需少量模拟，并且非常适合当前的着色控制开发实践。该方法使用室内卷帘的太阳跟踪控制策略作为案例研究进行测试，这表明该方法可以识别高性能解决方案。最后，从案例研究中推断出该方法的普遍适用特征，并讨论了替代应用和该方法的局限性。