Modelling the effect of aerosol polydispersity on unipolar charging and measurement in low-cost sensors. (April 2019)

• Record Type: Journal Article
• Authors: Nishida, R.T.; Yamasaki, N.M.; Schriefl, M.A.; Boies, A.M.; Hochgreb, S.
• Is Part Of: Journal of aerosol science. Volume 130(2019)
• Page Start: 10
• Page End: 21
• Publication Date: 2019-04
• Subjects: Aerosols -- Periodicals; Aerosols -- Periodicals; Aérosols -- Périodiques; 541.34515
• DOI: 10.1016/j.jaerosci.2019.01.003
• Languages: English
• ISSNs: 0021-8502

Abstract

Abstract: Low-cost ultrafine aerosol sensors are experimentally calibrated with controlled aerosol sources to provide metrics such as surface area, lung-deposited surface area, mean particle size and/or total concentration from one or more electrical current measurements. However, an aerosol with a large standard deviation in particle size provides a significantly different signal from a monodisperse aerosol with the same median particle size. In this paper, we investigate the effect of particle polydispersity on measurements in devices which employ unipolar charging. The conservation equations are solved for particle/ion charging and transport (convection, diffusion and electrical transport) in laminar, steady-state, incompressible flow. Lognormal particle size distributions are represented by over 10 2 coupled conservation equations for multiple size bins and discrete charge states and solved numerically for the first time. Modelling results show that integrated electrical current from a polydisperse particle distribution can be represented by a monodisperse distribution characterised by the count mean diameter ( d ¯ ; unipolar diffusion charging) or diameter of the average surface ( d s ¯ ; photoelectric charging) and total concentration, for a large range of particle distributions and operating conditions offering a convenient simplification for the interpretation of ultrafine particle measurements. The simplification reduces the number of simultaneous conservation equations required, thereby reducing computation time by up to 57 times for a polydisperse particle distribution represented by 16 discrete size bins. The method of analysis is useful to both users and developers of low-cost ultrafine particle sensors to understand the effect of particle polydispersity on measurements. Abstract : Graphical abstract: fx1 Abstract : Highlights: Moment averages represent polydispersity in low-cost ultrafine sensor measurements. First 3D charging model of discretely charged particles of polydisperse size. Upwards of 500 coupled particle concentration equations are solved numerically in 3D. Moment averages require up to 52 times less computational time within 4.8% accuracy.