[논문]월별 에너지 사용량 패턴 분석을 통한 업무시설 에너지 절감 방안 도출

오지현; 김혜기; 최병주; 김선숙

doi:10.5659/jaik.2022.38.5.139

월별 에너지 사용량 패턴 분석을 통한 업무시설 에너지 절감 방안 도출
Development of Energy Conservation Measures for Office Buildings by Analyzing Monthly Energy Use Patterns

대한건축학회논문집 = Journal of the architectural institute of korea, v.38 no.5, 2022년, pp.139 - 146

오지현 (아주대학교 스마트융합건축학과) , 김혜기 (아주대학교 공학연구소) , 최병주 (아주대학교 건축학과) , 김선숙 (아주대학교 건축학과)

Abstract ▼ AI-Helper

To achieve carbon neutrality in a city or country, it is required to evaluate energy performance and energy conservation measures for large buildings. The energy performance of existing buildings are widely evaluated by annual EUI (energy use intensity, kWh/m2yr). However, this annual value have limitations on analyzing seasonal effect and establishing energy conservation strategies. In this paper, we analyze monthly energy use patterns of large buildings and proposed general energy conservation strategies and measures according to the patterns. To classify the energy use patterns, we investigated clustering techniques on monthly energy use of office buildings in Korea. A k-means algorithm was implemented, and two different methods were compared: feature based k-means and time series k-means. The methods were performed with Euclidean distance metric and we tested our methods on energy use data from national database. The results show that feature based k-means method is significant in energy use pattern analysis. The energy use patterns of office buildings were divided into five clusters. We analyzed the characteristics of clusters by building size, annual and seasonal energy use.

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참고문헌 (17)

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용어 설명: PCR은 세균 특이성이 있는 primer를 이용하여 적은 수의 세균이 있을지라도 쉽게 검출할 수 있는 유용한 방법이며, 이를 이용하여 구강 내 치면세균막이나 타액에서 직접 세균을 검출할 수 있게 되었다[8].

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