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

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 x 2 cm x 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 x 40 cm x 40 cm acrylic chamber). This negative ion generator is a viable and sustainable alternative to reduce polluting emissions, with beneficial effects on human health.

Automated summary

This article presents a modeling method for a purification system using negative air ions to remove air pollutants. The system is highly efficient and significantly reduces PM 2.5, which is beneficial for human health.