회귀분석에 의한 건물에너지 사용량 예측기법에 관한 연구

• 영문명: A Study for Predicting Building Energy Use with Regression Analysis
• 발행기관: 한국퍼실리티매니지먼트학회
• 저자명: 서동현(Seo Donghyun) 이승복(Leigh Seungbok)
• 간행물 정보: 『한국퍼실리티매니지먼트학회지』Vol.1 No.1, 63~69쪽, 전체 7쪽
• 주제분류: 사회과학 > 지역개발
• 파일형태: PDF
• 발행일자: 1999.06.30

영문 초록

Predicting building energy use can be useful to evaluate its energy performance. This study proposed empirical approach for predicting building energy use with regression analysis. For the empirical analysis, simple regression models were developed based on the historical energy consumption data as a function of daily outside temperature, the predicting equations were derived for different operational modes and day types, then the equations were applied for predicting energy use in a building. By selecting a real building as a case study, the feasibilities of the empirical approach for predicting building energy use were examined. The results showed that empirical approach with regression analysis was fairly reliable by demonstrating prediction accuracy of 10% compared with the actual energy consumption data. It was also verified that the prediction by regression models could be simple and fairly accurate. Thus, it is anticipated that the empirical approach will be useful and reliable tool for many purposes: retrofit savings analysis by estimating energy usage in an existing building

목차

Abstact

1. 서론

2. 회귀분석에 의한 선험적 방법

3. 대상건물 개요

4. 회귀분석기법의 적용

5. 예측방정식을 이용한 ‘97년 에너지 사용량 예측

6. 결론

참고문헌

키워드

회귀분석 선험적 방법 분석적 방법 regression analysis empirical approach engineering calculation outlier