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DC low electrostatic voltage particulate filter: PM0.1 and PM2.5 emission efficiency measurement

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Vehicle emissions in terms of particulate matters PM0.1 and PM2.5 have been recognized to contribute a significant amount of pollutants into the air and adverse to human health. One of the efforts to reduce the emission is by a designing of particulate filtering system. This study develops a filtering system applying DC voltage. The objective of this research was to obtain a particulate filtering system with high efficiency based on the electrostatic principle. The filters were made of an aluminium plate as the anode and cathode probes. These probes applied as collecting probe that connected with a voltage source (4, 6, 8, 10, and 12 volt). The filter efficiency was calculated by using measured concentrations of PM0.1 and PM2.5 emitted by motorcycles before and after passing through the filter. The PM0.1 and PM2.5 concentrations were measured using a TSI 8525 P-Trak Ultrafine Particle Counter and a Kanomax 3443 Digital Dust Monitor. The results showed that the filter efficiency depending on applied DC voltages within the range of 23-35 % for PM0.1 and 29-40 % for PM2.5.

Original languageEnglish
Title of host publicationProceeding - 2016 International Seminar on Sensors, Instrumentation, Measurement and Metrology, ISSIMM 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages115-118
Number of pages4
ISBN (Electronic)9781509011285
DOIs
Publication statusPublished - 3 Jan 2017
Event2016 International Seminar on Sensors, Instrumentation, Measurement and Metrology, ISSIMM 2016 - Malang, East Java, Indonesia
Duration: 10 Aug 201611 Aug 2016

Publication series

NameProceeding - 2016 International Seminar on Sensors, Instrumentation, Measurement and Metrology, ISSIMM 2016

Conference

Conference2016 International Seminar on Sensors, Instrumentation, Measurement and Metrology, ISSIMM 2016
Country/TerritoryIndonesia
CityMalang, East Java
Period10/08/1611/08/16

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • efficiency
  • electrostatic
  • emission
  • filtering
  • motorcycle
  • PM
  • PM

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