인문학
사회과학
자연과학
공학
의약학
농수해양학
예술체육학
복합학
DBpia AI
AI 에이전트
AI 아이디어
AI 리더
AI 뷰어
Citeasy
크롬 서지관리 다운로드
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.
초록·키워드
Purpose: This study aims to quantitatively analyze the Energy Performance Gap between standardized elevator energy calculation methods, such as VDI 4707-1, and actual measured values, and to identify the key factors causing this difference. Standardized methods have limitations in accurately reflecting the unique, dynamic operational conditions of actual buildings, which can lead to significant discrepancies. Method: Theoretical energy consumption was calculated for four office buildings of varying heights (low-rise to super-tall) based on the VDI 4707-1 standard. These results were then compared with measured, real-world consumption data from prior research. A model calibration was performed by adjusting VDI parameters to match actual building conditions, and a sensitivity analysis was conducted to identify the impact of key variables on total energy consumption. Result: The analysis revealed that the standard VDI calculation can overestimate actual energy consumption by more than 17 times, but this prediction error can be significantly reduced through model calibration. Furthermore, the sensitivity analysis confirmed that as building height increases, the influence of ‘travel energy factors’ becomes overwhelmingly greater than that of ‘standby energy factors’. This suggests that a one-size-fits-all approach is inadequate for elevator energy assessment, and the process of calibrating standard models with site-specific data can significantly contribute to establishing effective, building-specific energy-saving strategies.
본문·목차
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