실내온도 데이터 클러스터링을 활용한 건물 열적 조닝
- Title
- 실내온도 데이터 클러스터링을 활용한 건물 열적 조닝
- Other Titles
- Thermal zoning for building HVAC design using clustering of indoor temperature data
- Author
- 신민재
- Keywords
- 열적 구획; 클러스터링; 공조설비시스템; 건물 에너지; Thermal Zoning; K-means clustering; HVAC system; Building energy
- Issue Date
- 2022-10
- Publisher
- 대한건축학회
- Citation
- 대한건축학회 2022년도 추계학술발표대회논문집, v. 42, no 2, page. 425-426
- Abstract
- To improve the energy efficiency of a building, HVAC system is a key element of design. Thermal Zoning, an early stage of HVAC system design, has a significant impact on the energy consumption of buildings and the thermal comfort of occupants. However, previous studies have focused on the performance of HVAC system rather than the importance of Thermal Zoning. Therefore, this study examined whether the conventionally used core-perimeter method is the optimal energy-efficient method. This study analyzed the indoor temperature profile of each room based on Building Energy Simulation and reviewed several studies before performing clustering. In the future, this study will study the optimal Thermal zoning method by comparing the results of K-means clustering with the core-perimeter method.
- URI
- https://www.dbpia.co.kr/journal/articleDetail?nodeId=NODE11162742https://repository.hanyang.ac.kr/handle/20.500.11754/191407
- Appears in Collections:
- COLLEGE OF ENGINEERING SCIENCES[E](공학대학) > ARCHITECTURE(건축학부) > Articles
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