建筑中乘员休息行为对荷载计算和能量模型的建模影响

Lakshmi Prasanna Pedarla, Javad Khazaii
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引用次数: 0

摘要

建筑内居住和工作的人数是建筑暖通空调系统设计负荷计算和能量建模软件的关键输入之一。建筑物内的居住人数不仅对建筑物的内部负荷/能耗有相当大的影响,而且还直接影响到建筑物所需的室外空气量。与这些人的居住人数和所需室外空气量相关的负荷占建筑物总负荷/能耗的近三分之一[1]。此外,居住者的数量也会影响到相关设备的负荷/人们消耗的能源。暖通空调工程师根据设计建筑师的意图、应用类型以及工程标准和指南建议,选择在建筑物中生活和工作的人数。设计工程师根据这些指南的建议,以及他们自己的经验/判断和建筑师的输入,在计算软件中设置居住者数量的设计值。由于设计工程师的假设/判断通常倾向于对居住者的设计数量给予一定的多样性宽减,因此建筑物的负荷和能耗将在全年内均匀减少,具体取决于每位工程师假设的宽减量。在这项研究中,作者将使用基于代理的建模仿真来模拟居住者在全年选择他们的时间时的行为。使用该模型可以帮助研究人员评估,在进行负荷计算和能量建模时,是否有可能证明工程师一致减少人员及其相关设备数量的判断是正确的。该模型还有助于在运行负荷计算/能源建模程序时制定更好的乘员调度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Modeling Effects of Occupants’ Time-Off Behavior in Buildings on Load Calculation and Energy Modeling
The number of people living and working in a building is one of the key inputs to the load calculation and energy modeling software for buildings HVAC system design. The number of occupants in a building not only has a considerable effect on the internal load/ energy consumption of the building, but also directly affects the required building quantity of outdoor air. Load associated to the number of occupants and quantity of required outdoor air for these people contributes close to one-third of the total load/ energy consumption of a building [1]. In addition, number of the occupants will affect the associated equipment load/ consumed energy by the people as well. HVAC engineers select the number of the people living and working in the buildings based on the design architect’s intention, type of application, and the engineering standards and guidelines recommendations. Design engineers based on the recommendations of these guidelines, and their own experience/judgement and architect input, set the design value for the number of occupants in the calculating software. As the result of design engineer assumption/ judgement which generally tends to give some diversity allowance for the design number of occupants, the load and energy consumption of the buildings will be reduced uniformly throughout the year depending how much allowance each engineer assumes. In this research authors will use agent-based modeling simulation to model occupants’ behavior when selecting their time on-off hours throughout the year. Using this modeling helps the researchers to evaluate if it is possible to justify engineers’ judgement for uniformly reduction of the number of people and their associated equipment when performing load calculation and energy modeling. The model will also contribute to developing a better occupant scheduling when running load calculation/ energy modeling programs.
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