Comparative Study of Computational Models for Reducing Air Pollution through the Generation of Negative Ions

Paola Ortiz-Grisales, Julián Patiño-Murillo and Eduardo Duque-Grisales
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Paola Ortiz-Grisales: Facultad de Ingeniería, Institución Universitaria Pascual Bravo, Calle 73 No. 73A-226 Medellín, Colombia
Julián Patiño-Murillo: Facultad de Ingeniería, Institución Universitaria Pascual Bravo, Calle 73 No. 73A-226 Medellín, Colombia
Eduardo Duque-Grisales: Facultad de Ingeniería, Institución Universitaria Pascual Bravo, Calle 73 No. 73A-226 Medellín, Colombia

Sustainability, 2021, vol. 13, issue 13, 1-13

Abstract: Today, air quality is one of the global concerns that governments are facing. One of the main air pollutants is the particulate matter (PM) which affects human health. This article presents the modeling of a purification system by means of negative air ions (NAIs) for air pollutant removal, using computational intelligence methods. The system uses a high-voltage booster output to ionize air molecules from stainless steel electrodes; its particle-capturing efficiency reaches up to 97%. With two devices (5 cm × 2 cm × 2.5 cm), 2 trillion negative ions are produced per second, and the particulate matter (PM 2.5) can be reduced from 999 to 0 mg/m 3 in a period of approximately 5 to 7 minutes (in a 40 cm × 40 cm × 40 cm acrylic chamber). This negative ion generator is a viable and sustainable alternative to reduce polluting emissions, with beneficial effects on human health.

Keywords: environmental pollution; air purification; negative ion generators; particulate matter (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2021
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