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Recent publication
고층 주거건물의 세대측 침기 가상센싱 방법 제안
Jiwon Kim, Sungmin Yoon, Jabeom Koo, and Juhyun Bak
국제학술지 Journal of Building Enginerering (IF 7.144)에 게재, 건물의 난방부하 및 재실자 쾌적도 평가를 위한 세대 침기량
현장 가상센싱 방법 제안
Building Systems
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AI-based energy efficient building operations
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Fault detection and diagnosis (FDD)
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Holistic Operational signatures (HOS)
Indoor environment
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Building airflow and impacts
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Building energy simulation and calibration
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Stack effect and dwelling infiltration
Smart City
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Signature-based symbolic clustering
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Big data mining for smart cities
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Data-driven urban building energy analytics
Digitial twins &
Sensing technologies
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Digital twining in building operations
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Virtual sensing in digital twins
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Virtual in-situ calibration (VIC)
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Virtual and physical sensor fusion
Introduction
지능형건축설비연구실(BIST)은 건물시스템에 대한 이해와 건물 생애주기에서 발생하는 다양한 정보/데이터를 기반으로 지능형 건물을 실현하는 것을 목표로 합니다. 이를 위해, 센서, 장치, 시스템, 건물, 도시 단위에서의 다양한 융복합 연구를 수행하고 있으며, 건물시스템의 자율운전과 자가진화기술을 개발하고 있습니다.
BIST lab. is intended to realize intelligent buildings based on the building science, informatics, and building life-cycle data. We are actively pursuing progress on the different levels of sensors, equipment, systems, buildings, and a city and their interactions. Recently, a self-evolving building management technology was proposed, and the study is ongoing with in-situ virtual sensing paradigm in the context of digital building twins.
