Journal of the Korean Society of Visualization (한국가시화정보학회지)

The Korean Society of Visualization (한국가시화정보학회)
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Prediction of Air Exchange Performance of an Air Purifier by Installation Location using Artificial Neural Network

인공신경망 기반 공기정화기 설치위치에 따른 공기교환성능 예측

  • Kim, Na Kyong (Department of Mechanical Engineering, Chonnam National University) ;
  • Kang, Dong Hee (Department of Mechanical Engineering, Chonnam National University) ;
  • Kang, Hyun Wook (Department of Mechanical Engineering, Chonnam National University)
  • Received : 2022.06.27
  • Accepted : 2022.07.12
  • Published : 2022.07.31
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Abstract

Air purifiers can be placed where the air cleaning is required, making it easy to manage indoor air quality. The position of the air purifier affects the indoor airflow pattern, resulting in different air cleaning efficiency. Many efforts and strategies have been examined through numerical simulations and experiments to find the proper location of the air purifier, but problems still remain due to the various geometrical indoor spaces and arrangements. Herein, we develop an artificial intelligence model to predict the performance of an air purifier depending on the installation location. To obtain the training data, numerical simulations were performed on the different locations of the air purifiers and airflow patterns. The trained artificial intelligence model predicted the air exchange performance depending on the installation location of the air purifier with a prediction accuracy of 92%.

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Acknowledgement

이 연구는 2020년도 정부(과학기술정보통신부)의 재원으로 정보통신산업진흥원의 지원을 받아 수행된 에너지 AI 융합 연구개발 사업(No.S0253-22-1003)과 4단계 BK21사업 미래혁신기계기술 인재양성 교육연구단의 2022년 IREC-Fellowship 프로그램으로 지원을 받아 수행된 연구임.

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