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Transfer Operator Based Approach for Estimating After Release Contaminant Distribution in Indoor Environment

机译:基于转移算子的室内环境污染物释放后分布估算方法

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Maintaining indoor environment quality requires availability of effective estimation and control measures. In hazardous substances release scenario, a prompt estimation of contaminant distribution in the space is essential to enable quick control action. In this paper, we discuss the use of Perron-Frobenius (P-F) operator based approach for the design of an estimator to efficiently track the contaminant in an indoor environment. While the contaminants are evolving under the influence of nonlinear fluid flow field, the linear nature of the P-F operator is exploited for the design of estimator dynamics. In particular, the linear nature of the P-F framework is used for the design of a Kalman filtering algorithm to track the contaminants under an impulsive release scenario. Simulation results involving International Energy Agency (IEA) two dimensional building system model are presented to verify the main findings of the paper.
机译:保持室内环境质量需要有效的估算和控制措施。在有害物质释放的情况下,迅速估算空间中的污染物分布对于实现快速控制行动至关重要。在本文中,我们讨论了使用基于Perron-Frobenius(P-F)算子的方法来设计估算器,以有效跟踪室内环境中的污染物。当污染物在非线性流体流场的影响下不断演变时,P-F算子的线性性质被用于估算器动力学的设计。特别是,P-F框架的线性特性用于卡尔曼滤波算法的设计,以在脉冲释放情况下跟踪污染物。提出了涉及国际能源署(IEA)二维建筑系统模型的仿真结果,以验证本文的主要发现。

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