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A comparative study between two algorithms for luminance-based lighting control
Energy and Buildings ( IF 6.7 ) Pub Date : 2020-09-02 , DOI: 10.1016/j.enbuild.2020.110429
T.W. Kruisselbrink , R. Dangol , E.J. van Loenen

Lighting is an essential component of the built environment, affecting the comfort of the indoor environment as well as the energy use. Luminance-based lighting control is expected to both enhance the comfort and energy savings as the luminance distribution is very versatile. In this study, the feasibility of such system is tested using two alternative luminance-based lighting control algorithms. Algorithm 1 applied proportional control to maintain a target desktop illuminance, while Algorithm 2 assigned the most suitable, predefined, scene to maintain the target desktop illuminance. Energy savings of 50% and 70% were achieved, respectively. Algorithm 2 generally outperformed Algorithm 1. Algorithm 2 was better able to maintain the target illuminance and provided a higher uniformity. Accurate commissioning, especially for proportional control, is essential to achieve an acceptable control system. Nevertheless, this study showed that it is feasible to apply luminance-based lighting control, but the performance largely depends on the control system and the commissioning. Additionally, the versatile luminance cameras can easily be equipped with additional functionalities.



中文翻译:

两种基于亮度的照明控制算法的比较研究

照明是建筑环境的重要组成部分,会影响室内环境的舒适度以及能源的使用。由于亮度分布非常灵活,因此基于亮度的照明控制有望同时提高舒适度和节能效果。在这项研究中,使用两种替代的基于亮度的照明控制算法测试了这种系统的可行性。算法1应用了比例控制来维持目标桌面的照度,而算法2分配了最合适的预定义场景来维持目标桌面的照度。分别实现了50%和70%的节能。算法2总体上优于算法1。算法2能够更好地保持目标照度并提供更高的均匀性。精确调试,尤其是比例控制时,对于实现可接受的控制系统至关重要。尽管如此,这项研究表明,应用基于亮度的照明控制是可行的,但是性能很大程度上取决于控制系统和调试。此外,多功能亮度相机可以轻松配备其他功能。

更新日期:2020-09-11
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