STUDY ON INFLUENCE OF AIR CLEANER ON ROOM DISPERSION FIELD AND ITS OPTIMAL PLACEMENT USING ADJOINT CONCENTRATION

Based on the assumption of a non-uniform pollutant concentration distribution and stochastic determination of pollutant sources and receptors in indoor space, this study shows how to formulate the expected pollutant concentration observed by the receptors in the presence of an air cleaner, using adjoint concentration and parameters related to probability of pollutants passing through the cleaner. Using this formulation, the structure of the concentration reduction effect of the cleaner and its optimal placement are discussed. The studies with the formulation are also conducted under the assumption of instantaneous uniform diffusion and for a problem in one-dimensional space. Based on the assumption of a non-uniform pollutant concentration distribution and stochastic determination of pollutant sources and receptors in indoor space, this study shows how to formulate the expected pollutant concentration observed by the receptors in the presence of an air cleaner, using adjoint concentration and parameters related to probability of pollutants passing through the cleaner. Using this formulation, the structure of the concentration reduction effect of the cleaner and its optimal placement are discussed. The studies with the formulation are also conducted under the assumption of instantaneous uniform diffusion and for a problem in one-dimensional space.

[1]  R. Ooka,et al.  Recent research on expiratory particles in respiratory viral infection and control strategies: A review , 2021, Sustainable Cities and Society.

[2]  Hongyuan Jia,et al.  Line source estimation of environmental pollutants using super-Gaussian geometry model and Bayesian inference. , 2021, Environmental research.

[3]  Ryozo Ooka,et al.  Bayesian source term estimation of atmospheric releases in urban areas using LES approach. , 2018, Journal of hazardous materials.

[4]  Xiaoze Du,et al.  Particle transport characteristics in indoor environment with an air cleaner: The effect of nonuniform particle distributions , 2016, Building simulation.

[5]  Xiaoze Du,et al.  Particle transport characteristics in indoor environment with an air cleaner: The effect of nonuniform particle distributions , 2016, Building Simulation.

[6]  Naoki Kagi,et al.  Predicting the Effect of Installing an Air Cleaner Using the Instantaneous Uniform Diffusion Model , 2015 .

[7]  Tengfei Zhang,et al.  Flow impact of an air conditioner to portable air cleaning , 2010 .

[8]  Peter V. Nielsen,et al.  Particle removal efficiency of the portable HEPA air cleaner in a simulated hospital ward , 2010 .

[9]  裕美 清澤,et al.  家庭用空気清浄機の汚染物質除去性能と室内濃度予測に関する研究(その2) : 花粉粒子に対する除去効果 , 2005 .

[10]  裕美 清澤,et al.  家庭用空気清浄機の汚染物質除去性能と室内濃度予測に関する研究(その1) : 環境タバコ煙に対する除去効果 , 2004 .

[11]  淳夫 野崎,et al.  家庭用空気清浄機のガス状物質除去特性に関する研究(その1) : ホルムアルデヒドに対する除去効果 , 2002 .

[12]  信介 加藤,et al.  平均拡散場解析によるVisitation Frequency,Purging Flow Rateの解析 : 不完全混合室内の居住域換気効率の評価に関する研究 , 2000 .

[13]  Janusz A. Pudykiewicz,et al.  APPLICATION OF ADJOINT TRACER TRANSPORT EQUATIONS FOR EVALUATING SOURCE PARAMETERS , 1998 .

[14]  Shuzo Murakami,et al.  New Scales for Ventilation Efficiency and Calculation Method by Means of 3-Dimensional Numerical Simulation for Turbulent Flow : Study on Evaluation of Ventilation Efficiency in Room , 1986 .

[15]  S. Kato,et al.  SOURCE IDENTIFICATION OF ENVIRONMENTAL POLLUTANTS BASED ON TRACER DISPERSION IN REVERSED FLOW FIELD , 2016 .

[16]  Fue-Sang Lien,et al.  Bayesian inference for source determination with applications to a complex urban environment , 2007 .

[17]  Hiromi Komine,et al.  THE PERFORMANCE TESTING METHOD FOR DOMESTIC AIR CLEANERS TO REMOVE SINGLE GASEOUS CHEMICAL SUBSTANCE , 2003 .

[18]  M. Sandberg.  What is ventilation efficiency , 1981 .