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

Author

Listed:
  • 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
    Facultad de Estudios Empresariales y de Mercadeo, Institución Universitaria Esumer, Calle 76 No. 80-126 Medellín, Colombia)

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.

Suggested Citation

  • Paola Ortiz-Grisales & Julián Patiño-Murillo & Eduardo Duque-Grisales, 2021. "Comparative Study of Computational Models for Reducing Air Pollution through the Generation of Negative Ions," Sustainability, MDPI, vol. 13(13), pages 1-13, June.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:13:p:7197-:d:583171
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    References listed on IDEAS

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    1. Mosleh Hmoud Al-Adhaileh & Fawaz Waselallah Alsaade, 2021. "Modelling and Prediction of Water Quality by Using Artificial Intelligence," Sustainability, MDPI, vol. 13(8), pages 1-18, April.
    2. Laís Fajersztajn & Paulo Saldiva & Luiz Alberto Amador Pereira & Victor Figueiredo Leite & Anna Maria Buehler, 2017. "Short-term effects of fine particulate matter pollution on daily health events in Latin America: a systematic review and meta-analysis," International Journal of Public Health, Springer;Swiss School of Public Health (SSPH+), vol. 62(7), pages 729-738, September.
    3. Hengyu Guo & Jie Chen & Longfei Wang & Aurelia Chi Wang & Yafeng Li & Chunhua An & Jr-Hau He & Chenguo Hu & Vincent K. S. Hsiao & Zhong Lin Wang, 2021. "A highly efficient triboelectric negative air ion generator," Nature Sustainability, Nature, vol. 4(2), pages 147-153, February.
    4. Sang Won Choi & Brian H. S. Kim, 2021. "Applying PCA to Deep Learning Forecasting Models for Predicting PM 2.5," Sustainability, MDPI, vol. 13(7), pages 1-30, March.
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