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A DC low electrostatic filtering system for PM2.5 motorcycle emission

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

Abstract

Exhaust emissions from motor vehicles have become hot issues due to their toxicities and their effects on health adverse. To reduce the emission, people have to develop a filtering system. This study developed a filtering system based on electrostatic principle and taken an advantage on motor battery for the electricity to reduce the PM2.5 exhaust emissions. The filter consists of a set of aluminum plates as the electrodes (anodes and cathodes). These plates were embedded in an acrylic frame and connected to the motor battery. The gap between the plates was varied namely filter 1 (F1), filter 2 (F2), and filter 3 (F3). The filters were characterized as the efficiency defined as the reduction ratio of the PM2.5 concentration in the smoke before and after the pass. The PM2.5 concentration was measured by a Digital Dust Monitor. The efficiency of the filter was in the range of 8% to 42 % depending on a number of the filter gap.

Original languageEnglish
Title of host publicationProceedings - 2017 International Seminar on Sensor, Instrumentation, Measurement and Metrology
Subtitle of host publicationInnovation for the Advancement and Competitiveness of the Nation, ISSIMM 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages51-54
Number of pages4
ISBN (Electronic)9781538607459
DOIs
Publication statusPublished - 29 Nov 2017
Event2017 International Seminar on Sensor, Instrumentation, Measurement and Metrology, ISSIMM 2017 - Surabaya, Indonesia
Duration: 25 Aug 201726 Aug 2017

Publication series

NameProceedings - 2017 International Seminar on Sensor, Instrumentation, Measurement and Metrology: Innovation for the Advancement and Competitiveness of the Nation, ISSIMM 2017
Volume2017-January

Conference

Conference2017 International Seminar on Sensor, Instrumentation, Measurement and Metrology, ISSIMM 2017
Country/TerritoryIndonesia
CitySurabaya
Period25/08/1726/08/17

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

  • DC low voltage
  • Efficiency
  • Electrostatic
  • Filtering system
  • Motorcycle
  • PM

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