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Dynamic Modeling Under Temperature Variations for Sustainable Air Quality Solutions: PM2.5 and Negative Ion Interactions

Author

Listed:
  • Paola M. Ortiz-Grisales

    (Department of Electrical Engineering, Engineering Faculty, Institución Universitaria Pascual Bravo, Medellín 050036, Colombia
    These authors contributed equally to this work.)

  • Leidy Gutiérrez-León

    (Department of Electrical Engineering, Engineering Faculty, Institución Universitaria Pascual Bravo, Medellín 050036, Colombia
    These authors contributed equally to this work.)

  • Eduardo Duque-Grisales

    (Department of Electrical Engineering, Engineering Faculty, Institución Universitaria Pascual Bravo, Medellín 050036, Colombia
    Business Studies Faculty, Institución Universitaria Esumer, Medellín 050036, Colombia
    These authors contributed equally to this work.)

  • Carlos D. Zuluaga-Ríos

    (Institute for Research in Technology, Universidad Pontificia Comillas, 280015 Madrid, Spain
    These authors contributed equally to this work.)

Abstract

Air pollution caused by fine particles known as PM2.5 is a significant health concern worldwide, contributing to illnesses like asthma, heart disease, and lung cancer. To address this issue, this study focused on improving air purification systems using negative ions, which can attach to these harmful particles and help remove them from the air. This paper developed a novel mathematical model based on linear differential equations to study how PM2.5 particles interact with negative ions, making it easier to design more effective purification systems. The proposed model was validated in a small, controlled space, using common urban pollutants such as cigarette smoke, incense, coal, and gasoline. These tests were conducted at different temperatures and under two levels of ion generation. The results showed that the system could remove over 99 % of PM2.5 particles in five minutes when temperatures were low or moderate. However, at higher temperatures, the system’s performance dropped significantly. This research goes beyond earlier studies by examining how temperature affects the process, which had not been fully explored before. Furthermore, this approach aligns with global sustainability goals by promoting public health, reducing healthcare costs, and providing scalable solutions for sustainable urban living.

Suggested Citation

  • Paola M. Ortiz-Grisales & Leidy Gutiérrez-León & Eduardo Duque-Grisales & Carlos D. Zuluaga-Ríos, 2024. "Dynamic Modeling Under Temperature Variations for Sustainable Air Quality Solutions: PM2.5 and Negative Ion Interactions," Sustainability, MDPI, vol. 17(1), pages 1-18, December.
    • Handle: RePEc:gam:jsusta:v:17:y:2024:i:1:p:70-:d:1553563
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    References listed on IDEAS

    as
    1. Cui Yue & Zhao Yuxin & Zhang Nan & Zhang Dongyou & Yang Jiangning, 2020. "An inversion model for estimating the negative air ion concentration using MODIS images of the Daxing’anling region," PLOS ONE, Public Library of Science, vol. 15(11), pages 1-12, November.
    2. Ling Zhang & Changjin Ou & Dhammika Magana-Arachchi & Meththika Vithanage & Kanth Swaroop Vanka & Thava Palanisami & Kanaji Masakorala & Hasintha Wijesekara & Yubo Yan & Nanthi Bolan & M. B. Kirkham, 2021. "Indoor Particulate Matter in Urban Households: Sources, Pathways, Characteristics, Health Effects, and Exposure Mitigation," IJERPH, MDPI, vol. 18(21), pages 1-33, October.
    Full references (including those not matched with items on IDEAS)

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