JOURNAL BROWSE
Search
Advanced SearchSearch Tips
The audit method of cooling energy performance in office building using the Simple Linear Regression Analysis Model
facebook(new window)  Pirnt(new window) E-mail(new window) Excel Download
  • Journal title : KIEAE Journal
  • Volume 15, Issue 5,  2015, pp.13-20
  • Publisher : Korea Institute of Ecological Architecture and Environment
  • DOI : 10.12813/kieae.2015.15.5.013
 Title & Authors
The audit method of cooling energy performance in office building using the Simple Linear Regression Analysis Model
Park, Jin-Young; Kim, Seo-Hoon; Jang, Cheol-Young; Kim, Jong-Hun; Lee, Seung-Bok;
  PDF(new window)
 Abstract
Purpose: In order to upgrade the energy performance of existing building, energy audit stage should be implemented first because it is useful method to find where the problems occur and know how much time and cost consumption for retrofit. In overseas researches, three levels of audit is proposed whereas there are no standards for audit in Korea. Besides, most studies use dynamic simulation in detail like audit level 3 even though the level 2 can save time and cost than level 3. Thus, this paper focused on audit level 2 and proposed the audit method with the simple linear regression analysis model. Method: Two parameters were considered for the simple regression analysis, which were the monthly electric use and the mean outdoor temperature data. The former is a dependent variable and the latter is a independent variable, and the building`s energy performance profile was estimated from the regression analysis method. In this analysis, we found the abnormal point in cooling season and the more detailed analysis were conducted about the three heat source equipments. Result: Comparing with real and predicted models, the total consumption of predicted model was higher than real value as 23,608 kWh but it was the results that was reflected the compulsory control in 2013. Consequently, it was analyzed that the revised model could save the cooling energy as well as reduce peak electric use than before.
 Keywords
Simple Linear Regression Analysis;Energy Performance Audit;Office Building;
 Language
English
 Cited by
 References
1.
The report material of MOLIT(Ministry of Land, Infrastructure and Transport) in Korea, 2014. 12. 30.

2.
김승남, "건축물 유형별 에너지 소비 특성 분석과 활용", 건축도시공간연구소, No.86, 2014. 4. // Seung-Nam, Kim, "Use and analysis of the energy consumption features depending on building type", journal of AURI, No.86, April 2014

3.
Pacific Northwest National Liboratory and PECI, DOE(U.S. Department of Energy), "Advanced Energy Retrofit Guides, Office Buildings", 2011. 09

4.
ASHRAE, 2011 ASHRAE Handbook-HVAC Applications, Energy Use And Management

5.
ASHRAE, 2013 ASHRAE Fundamentals, Energy Estimating And Modeling Methods

6.
권경우, 회귀분석을 이용한 리모델링 건축물의 에너지 성능개선 분석사례, 한국건축친환경설비학회, Vol.9 No.1, 2015. 01 // Kyungwoo, Kwon, "A study on the cases for improving the remodeling building energy performance using the regression analysis", journal of KIAEBS, Vol.9 No.1, Jan. 2015

7.
한혜심, 온열환경 지표를 활용한 사무소 건물의 에너지 효율화 방안 연구, 충남대학교 박사논문, p.53, 2013. 10 // Hyesim, Han, "Methods for energy efficiency based on thermal comfprt fatprs in office building", Ph.D Dissertation, Chungnam National University, p.53, Sep. 2013

8.
곽영훈, 실시간 건물 에너지 시뮬레이션 프레임워크 개발을 통한 냉방시스템 예측 제어, 서울시립대학교 박사논문, p.77-90, 2013. 12 // Younghoon, Kwak, "Predictive Control of Cooling System through the Development of Real-time Building Energy Simulation Framework", Ph.D Dissertation, University of Seoul, p.77-90, Dec. 2013

9.
이승복, 회귀분석에 의한 건물에너지 사용량 예측기법에 관한 연구, 설비공학회 논문집, Vol.12 No12. 2000. 10 // Seung-Bok, Leigh, "A study for Predicting Building Energy Use with Regression Analysis", Oct. 2000