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Evaluating the dynamics of occupancy heat gains in a mid-sized airport terminal through agent-based modelling

机译：通过基于代理的建模来评估中型机场终端中占用率热量的动态

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摘要

The occupancy heat gains of airport terminal buildings are driven by the dynamics of passenger flow. In this paper, we evaluate the heat losses from the human body in a transient state to estimate the sensible and latent loads on the HVAC system. The study pertains to a mid-sized airport terminal building in a tropical wet and dry climate of India. The pattern of passenger movement, service time and discretionary activity choices are evaluated through field measurement and subjective surveys. The sequence of passenger movement, dwell time and occupancy profile at different zones for departure and arrival sequences are estimated through validated agentbased simulations. Transient heat losses from the human body are established through thermo-physiology simulations based on the occupancy dynamics. Hourly sensible and latent heat load profiles of different zones are deduced for different terminal operation periods. The evaporative heat losses from human body varies considerably during passenger transit resulting in significant latent heat gain differences among the zones. Despite lower activity levels in certain zones, latent heat loads from occupancy are higher because of preceding activity sequences. The sensible to latent heat load ratio varies from 0.7:0.3 to 0.52:0.48 across the zones during different operational periods.
机译：机场航站楼的入住热量是由客流的动态驱动的。在本文中，我们在瞬态状态下评估人体的热量损失，以估计HVAC系统上的明智和潜在负载。该研究与印度热带潮湿和干燥气候的中大型机场航站楼都符合。通过现场测量和主观调查评估乘客运动，服务时间和自由判断活动选择的模式。通过验证的替代模拟估算不同地区的乘客运动，停留时间和占用曲线的序列，估计。通过基于占用动力学的热生理模拟建立了来自人体的瞬态热损失。针对不同的终端操作周期推导出不同区域的每小时合理和潜热负荷轮廓。在乘客转运期间，人体的蒸发热损失在乘客转运期间变化，导致区域之间具有显着的潜热增益差异。尽管某些区域的活性水平较低，因此由于前面的活动序列，占用率的潜热负荷更高。在不同的运营时期，潜热负荷比的明智从0.7：0.3到0.52：0.48变化。

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