【摘要】 实测数据表明照明电耗占大型办公建筑总电耗的20～40%,因此对大型办公建筑照明能耗的特征进行深入调研和分析,对优化照明设计、降低照明能耗、实现整体建筑节能具有十分重要的意义。本文基于对北京和香港的13栋大型办公建筑照明能耗实测数据的统计分析,探讨了不同时间尺度下照明能耗的主要特征。研究发现在大型办公建筑中,照明能耗的日变化主要受人员作息的影响,室外照度对照明能耗的影响较小。基于照明能耗的日分段特性及年分布情况,本研究将统计分析及概率模型应用于照明能耗的预测,建立了照明能耗的随机模型,并通过实测数据验证了模型的有效性。该模型可适用于大型办公建筑照明能耗的预测分析,为提高照明能耗预测的准确性,辅助照明设计优化提供了科学依据。更多还原

【Abstract】 Based on the measured data,lighting consumes about 20 to 40% of total electricity use in large office buildings.In order to decrease the whole building energy consumption,it is crucial to understand the characteristics of lighting energy use.This paper analyzes the main characteristics of lighting energy use over various time scales,based on the statistical analysis of measured lighting energy use of 13 large office buildings in Beijing and Hong Kong.It was found that the daily 24-hour variations of lighting energy use were mainly driven by the schedule of the building occupants.Outdoor illumination levels have little impact on lighting energy use in large office buildings.A stochastic lighting energy use model was developed based on different occupant activities during six time periods throughout a day,and the annual distribution of lighting power across those periods.The model was verified using measured lighting energy use of one selected building.This study demonstrates how statistical analysis and stochastic modeling can be applied to lighting energy use.The developed lighting model can be adopted to improve the simulation accuracy of lighting energy use and optimize the lighting design.更多还原