A new filterless indoor air purifier for particulate matter and bioaerosol based on heterogeneous condensation

Liu, Chang; Hou, Li’an; Wang, Bo; Zhang, Yumeng

doi:10.1016/j.envres.2022.115034

Cited by 16 publications

(1 citation statement)

References 43 publications

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“…The principle of particle filtering and CO 2 reduction are discussed by chen et al [7]. Based on heterogeneous condensation, a novel filterless indoor air purifier for particulate matter and bioaerosol had been proposed by Yan et al [8]. Ultra-fine particles develop and gather using heterogeneous condensation and supergravity technology, while chemical and UV disinfection swiftly disinfects bioaerosols.…”

Section: Literature Reviewmentioning

confidence: 99%

Installation of Smog-Free Towers Using Novel Real Coded Genetic Algorithm

Kumar,

Deep,

Nagar

2024

IEEE Access

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The circle packing problem involves finding the best way to place non-overlapping circles within a given space, while the smog-free tower installation problem aims to minimize the exposure of residents to secondhand smog by identifying the optimal tower locations. This study proposes a Real Coded Genetic Algorithm (RCGA) that uses real-valued representations of circle positions to solve the smog-free tower installation problem. A new crossover operator is introduced, combining the information from two parent solutions to generate two new offspring solutions. The operator uses a random crossover point and two scaling factors to control the amount of information exchanged. The performance of the operator is evaluated on CEC-2017 benchmark problem set and compared to other commonly used operators, with results indicating that it produces high-quality solutions and outperforms other operators in terms of solution quality and convergence speed. This research contributes to developing effective optimization algorithms that can have important implications for improving public health and reducing the negative effects of secondhand smog.

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Section: Literature Reviewmentioning

confidence: 99%