한국입자에어로졸학회지 (Particle and aerosol research)

  • 제20권1호
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  • Pages.1-11
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  • 2024
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  • 1738-8716(pISSN)
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  • 2287-8130(eISSN)
한국입자에어로졸학회 (Korean Association for Particle and Aerosol Research)
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유전 알고리즘을 이용한 어린이 시설의 실내 공기질 분석

Indoor air quality analysis based on genetic algorithm for childhood facilities

  • 박서연 (한국기술교육대학교 기계공학부) ;
  • 우창규 (한국기술교육대학교 기계공학부)
  • 투고 : 2024.02.23
  • 심사 : 2024.03.19
  • 발행 : 2024.03.31
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초록

Children are vulnerable to bad indoor air quality, and many researches on indoor air quality have been done with various methodologies. Herein, we used the genetic algorithm, one of the optimization methods, for the analysis based on better estimation values that are not easy to measure. A children playroom and a Taekwondo gym were chosen for the different degree of physical activity. After estimation of the number of occupants, the generation degree of CO2 and PM2.5 were determined from the data of the indoor air quality monitors. Relative errors were below 1% for all cases. Due to many air-treating electronics, the PM2.5 in the children playroom was well-managed compared to that in the Taekwondo gym. The PM2.5-generating activities were calculated and that of the Taekwondo gym was higher than that of the children playroom. The PM2.5 generating values were on the positive relationship with CO2 generating values. This means that we can obtain meaningful information from limited measurement data. For the numerous children facilities, indoor air quality can be easily analyzed and this might contribute to enhancing the children health.

키워드

과제정보

이 연구는 한국기계연구원의 기관연구사업의 지원을 받아 수행되었으며, 교육부의 재원으로 한국연구재단의 지원을 받아 수행된 지자체-대학 협력기반 지역혁신사업(RIS)(2021RIS-004)과 산업통상자원부의 바이오산업기술개발사업 (20018463) 지원을 받아 수행된 결과입니다.

참고문헌

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