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A Proposal of Data Schema to Build a Database of Energy Performance Data of Existing Buildings : A Green Remodeling Case Study

기존건축물 에너지 성능 정보 데이터베이스 구축을 위한 데이터스키마 제안 : 그린리모델링 사례연구를 통해

  • Yoon, Jin-Ha (Department of Energy Technology, Regrowth Solution) ;
  • Choi, Jun-Woo (Regrowth Solution) ;
  • Kim Hye-Gi (Department of Building Energy Research, Korea Institute of Civil Engineering and Building Technology) ;
  • Shin, Hey-Ry (Department of Building Energy Research, Korea Institute of Civil Engineering and Building Technology) ;
  • Kim, Deuk-Woo (Department of Building Energy Research, Korea Institute of Civil Engineering and Building Technology)
  • 윤진하 ((주)리그로스솔루션 에너지기술본부) ;
  • 최준우 ((주)리그로스솔루션) ;
  • 김혜기 (한국건설기술연구원 건축에너지연구소) ;
  • 신혜리 (한국건설기술연구원 건축에너지연구소) ;
  • 김덕우 (한국건설기술연구원 건축에너지연구소)
  • Received : 2023.07.05
  • Accepted : 2023.11.07
  • Published : 2023.12.31

Abstract

This paper proposes a basic data schema for the systematic collection and maintenance of field information in green remodeling projects. During the early stages of these projects, field surveys are conducted on target buildings to gather various information regarding building and facility conditions, operations, and more. However, these valuable materials are typically used only once for report writing and are stored in an unstructured manner, often neglected. This leads to problems such as inconsistency, inaccuracy, and reduced reliability, impacting the overall quality. Moreover, these materials are difficult to reuse as they are stored as document files without standardized forms, hindering interoperability. Thus, a customized data schema is necessary to systematically and continuously manage field information. To address this need, this study examined the existing building on-site collection data schemas from the United States and the European Union, identifying the essential elements required for a building data schema in Korea. The foreign data schemas exhibited characteristics such as modular composition, separation of objective information and subjective opinion, and scalability and compatibility of data. Drawing from these insights, the investigation items of green remodeling on-site documents were modularized through a process of data integration, separation, deletion, addition, and movement. Finally, this paper describes a proposed data schema with examples of inputs.

Keywords

Acknowledgement

이 연구는 2023년도 국토교통부 건물에너지 소비 데이터 통합관리 기반 구축사업의 연구비 지원에 의한 결과의 일부임. 과제번호:RS-2023-00244769

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