지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 발행연도
- 2024.12
- 수록면
- 47 - 53 (7page)
- DOI
- 10.12813/kieae.2024.24.6.047
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초록· 키워드
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Purpose: Recently, as the demand for comfortable indoor environments has significantly increased, the importance of the health of occupants has come to the forefront. In response to this societal issue, this study developed an integrated control algorithm for ventilation and air purification system that can proactively manage indoor PM<sub> 2.5</sub> levels. Method: To analyze the performance of the developed indoor PM<sub>2.5</sub> preemptive control algorithm, ventilation and air purification systems installed in two actively used elementary school classrooms were utilized. The control algorithm incorporates an ANN based indoor PM <sub>2.5</sub> prediction model and derives control values using the predicted values and real-time environmental data. Data obtained through empirical studies were analyzed according to occupancy schedules to verify compliance with national recommended standards. Additionally, an analysis of the control algorithm's inherent performance was conducted. Result: The preemptive control algorithm was observed to maintain lower indoor PM<sub> 2.5</sub> concentrations and sustain the comfortable range for extended periods compared to rule based control algorithms. However, the system operating time was longer than that of rule based control algorithms.
목차
ABSTRACT
1. 서론
2. 연구방법
3. 연구결과
4. 결론
References
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