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Fuzzy logic model for the categorization of manual lighting control behaviour patterns based on daylight illuminance and interior layout

机译:基于日光照度和内部布局的手动照明控制行为模式分类模糊逻辑模型

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摘要

In considering total building energy consumption, lighting plays an important role in shaping energy consumption and use. Although key strategies (such as energy efficient lighting products, lighting control systems and energy simulation software) are developed so far, such attempts may be unsuccessful unless users are not taken into consideration. Users' behaviours and their manual lighting control actions depend on various factors, though within the scope of this study manual lighting control behaviour was analysed only in terms of interior layout and daylight illuminance. Three private offices in Izmir Institute of Technology were monitored using illuminance metres and occupancy/light detectors under eight different interior layout conditions. In relation to change of interior layout and daylight penetrations, users' manual lighting control behaviours were monitored. The obtained data were then used to construct a fuzzy logic model in MATLAB FIS editor. A fuzzy logic algorithm was applied to classify behaviour patterns about the tendency to turn on the lights. This kind of prediction of the light usage tendency regarding the occupancy is aimed to foresee the 'possible' manual lighting control behaviour within given conditions. The gathered classification can be used further in future studies of manual lighting control behaviour and energy-saving estimations/simulations.
机译:在考虑总建筑能耗中,照明在塑造能耗和使用中起着重要作用。虽然到目前为止,虽然是关键策略(如节能照明产品,照明控制系统和能量仿真软件),但此类尝试可能不成功,除非用户未被考虑。用户的行为及其手动照明控制操作取决于各种因素,但在本研究范围内,仅在内部布局和日光照度方面分析了照明控制行为。在八个不同的内部布局条件下,使用照度仪表和占用/光探测器监测Izmir技术研究所的三家私人办事处。关于内部布局和日光渗透的变化,监测用户的手动照明控制行为。然后使用所获得的数据在Matlab FIS编辑器中构建模糊逻辑模型。应用模糊逻辑算法对打开灯的趋势来分类行为模式。这种对占用率的光使用趋势的预测旨在在给定条件下预见“可能”手动照明控制行为。收集的分类可以在未来的手动照明控制行为和节能估算/模拟的研究中进一步使用。

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