Distributed simulation framework to analyze the energy effects of adaptive thermal comfort behavior of building occupants
Distributed simulation framework to analyze the energy effects of adaptive thermal comfort behavior of building occupants
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DOI：
10.1109/wsc.2016.7822354
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发表时间：
2016-12
期刊：
影响因子：
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通讯作者：
Albert Thomas;C. Menassa;V. Kamat
中科院分区：
文献类型：
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作者：
Albert Thomas;C. Menassa;V. Kamat
人们大部分时间都在室内建筑环境中度过。因此，为居住者提供一个舒适的居住环境就显得尤为重要。通过许多研究开发的自适应热舒适模型表明，可以利用居住者的动态热行为来优化建筑物中的各种能量影响过程。然而，关于如何使用适当的干预措施来控制和影响这些行为模式的研究很少。在本研究中，基于代理的模型模拟办公楼中居住者按区域的热舒适度，并通过分布式计算框架轻量级通信和编组（LCM）与能源模拟模型相结合。案例研究结果证明了 LCM 框架能够在各种空间分布的工作站之间的仿真模型之间进行通信，并允许量化各种基于热舒适的干预措施的节能潜力。
People spend most of their time in indoor building environments. Thus, providing a comfortable living environment to the occupants is of extreme importance. Adaptive thermal comfort models developed through many studies suggested that the dynamic thermal based behavior of occupants can be utilized to optimize various energy influencing processes in the building. However, there is little research on how these behavioral patterns can be controlled and influenced using appropriate interventions. In this study, an agent-based model simulating zone-wise thermal comfort level of occupants in an office building is coupled with the energy simulation model through Lightweight Communications and Marshalling (LCM), a distributed computing framework. Case study results demonstrate the LCM framework's ability to communicate between simulation models across various spatially distributed workstations and allow for the quantification of the energy saving potential of various thermal comfort based interventions.