| 학회 | 한국화학공학회 |
| 학술대회 | 2016년 가을 (10/19 ~ 10/21, 대전컨벤션센터) |
| 권호 | 22권 2호, p.1539 |
| 발표분야 | 공정시스템 |
| 제목 | 건물 재실자의 건강 위해도 감소 및 에너지 절감을 위한 data analytics 기반의 실내공기질 통합관리시스템 개발 |
| 초록 | A principal goal of this research is to develop an integrated management framework for monitoring, modeling, control and optimization of indoor air quality (IAQ) in subway stations considering statistical properties of the IAQ data (non-normal distribution, auto-correlation, periodic variation). First, a self-validated monitoring method that detects and reconstructs sensor faults prior to the monitoring of IAQ is proposed using dynamic independent component analysis (DICA). Then, a self-validated modeling method that combines the sensor fault validation with the modeling method is developed to estimate the IAQ using independent component regression (ICR). In order to keep the IAQ at a healthy range, an IAQ ventilation control system considering outdoor air quality is newly developed. Finally, to maintain the IAQ at a healthy range while saving ventilation energy consumption, optimal operational conditions of the ventilation control system are determined using iterative dynamic programming (IDP). Acknowledgements: This work was supported by the National Research Foundation of Korea grant funded by the Korea government (No.2015R1A2A2A11001120). |
| 저자 | 김민정, 유창규 |
| 소속 | 경희대 |
| 키워드 | 공정모델링; 공정최적화; 공정제어; 이상진단 |
| VOD | VOD 보기 |
| 원문파일 | 초록 보기 |
