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A method to generate design-sensitive occupant-related schedules for building performance simulations

机译：一种生成设计敏感乘员相关计划的方法，用于构建性能模拟

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摘要

Despite the purported benefits of occupant behavior (OB) models in simulating the effect of design factors on OB and vice versa, there are challenges associated with their use in building simulation practice due to the additional time and computational requirements. To this end, this article presents a method to incorporate these models in building performance simulations (BPS) as design-sensitive schedules. As an example demonstrating this method, more than 2,900 design alternatives of an office were generated by varying orientation, window to wall ratio (WWR), the optical characteristics of windows and blinds, and indoor surface reflectances. By using daylight simulations and stochastic OB modeling, unique light use schedules were generated for each design alternative. Two data-mining algorithms were then examined to identify the relationship between light use schedules and design parameters. Results indicated that WWR and building orientation had the strongest effect on light use schedules. These findings are relevant for building energy codes, as they provide an intermediate approach to incorporating design-sensitive schedules as BPS inputs. These design-sensitive schedules are expected to be superior to default ones currently specified in codes and standards, which ignore the effect of design factors on OB, and ultimately on energy consumption.
机译：尽管占用行为（OB）模型在模拟了设计因素对OB的影响方面，但由于额外的时间和计算要求，他们在建设模拟实践中使用的挑战存在挑战。为此，本文介绍了一种在构建性能模拟（BPS）中作为设计敏感时间表合并这些模型的方法。作为演示该方法的示例，通过不同的方向，窗口与壁比（WWR），窗口和百叶窗的光学特性以及室内表面反射，产生2,900多个设计替代方案，以及室内表面反射。通过使用日光模拟和随机ob建模，为每个设计替代方案产生独特的灯光使用计划。然后检查两个数据挖掘算法以识别光使用时间表和设计参数之间的关系。结果表明，WWR和建筑方向对光使用时间表具有最强的影响。这些发现与构建能源代码相关，因为它们提供了将设计敏感时间表作为BPS输入的中间方法。这些设计敏感的时间表预计将优于目前在代码和标准中指定的默认情况，这忽略了OB上的设计因素的效果，并最终对能量消耗进行了效果。

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