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A Comparison of Lighting Energy Modeling Methods to Simulate Annual Energy Use and Peak Demand

机译:模拟年度能源使用和峰值需求的照明能源建模方法的比较

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摘要

Two simulation methods were developed to model thenlighting energy use for a real office building and the results of thosensimulations were compared to submetered lighting energy data fromnthat building. Three deterministic schedules and six stochastic firstordernMarkov-models were used to assess annual lighting energyndensity and peak demand density at both the office-level and thenbuilding-level. The stochastic simulations, which apply only to thenprivate offices, resulted in much lower annual energy density and peakndemand density predictions due to interactions of users with thenlighting and shade controls, and widely different daily use profiles. Fornthe whole-building simulations, comparing all three deterministicnschedules resulted in an inverse relationship between peak demandndensity and annual energy density; the closest correlation with thensubmetered data was found through the most building-specific butnleast empirically-vetted schedule-based simulation.
机译:开发了两种模拟方法来对真实办公建筑的照明能源使用进行建模,并将模拟结果与该办公大楼的低于计量的照明能源数据进行比较。使用三个确定性时间表和六个随机一阶马尔可夫模型来评估办公室级别和建筑物级别的年度照明能量密度和峰值需求密度。随机模拟仅适用于当时的私人办公室,由于用户与随后的照明和阴影控件之间的交互作用以及广泛不同的日常使用情况,导致了较低的年度能源密度和峰值和密度预测。在整个建筑的模拟中,比较所有三个确定性时间表会导致峰值需求密度与年能源密度之间呈反比关系。通过最特定于建筑物的,但经过经验审查的基于进度表的模拟,找到了与低于计量数据最接近的相关性。

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