메뉴 건너뛰기
.. 내서재 .. 알림
소속 기관/학교 인증
인증하면 논문, 학술자료 등을  무료로 열람할 수 있어요.
한국대학교, 누리자동차, 시립도서관 등 나의 기관을 확인해보세요
(국내 대학 90% 이상 구독 중)
로그인 회원가입 고객센터 ENG
주제분류

추천
검색
질문

논문 기본 정보

자료유형
학술저널
저자정보
김성범 (선우시스) 이수열 (선우시스) 김동윤 (선우시스) 최원기 (선우시스)
저널정보
한국태양에너지학회 한국태양에너지학회 논문집 한국태양에너지학회 논문집 제40권 제1호
발행연도
2020.2
수록면
49 - 60 (12page)

이용수

표지
📌
연구주제
📖
연구배경
🔬
연구방법
🏆
연구결과
AI에게 요청하기
추천
검색
질문

초록· 키워드

오류제보하기
This study reviewed selected specific windows and reviewed the window performance certification criteria including KS F 2278 and KS L 9107 and analyzed the change in performance based on the change of area. This study also compared the heating and cooling loads of an apartment house applied with window performance reviewed in consideration of insulation and SHGC performance and actual size based on KS F 2278. The analyzed window was a double window composed of aluminum and PVC and the building was the apartment house model of 141 m². The analysis results were as follows. First, as the window glass’s thermal performance is superior to frame, the performance degraded in reduced area. In case of selected window, the 1 m X 1m window’s thermal performance and SHGC decreased by 35% and 37% respectively compared to 2 m X 2 m window. Secondly, in the comparison of performance for increasing area with 2 m X 2 m and 3 m X 3 m windows, the 3 m X 3 m window’s thermal performance and SHCG increased about 14%. Third, in the comparison of heating and cooling loads of the analyzed model considering the apartment house model applied with window performance derived from KS F 2278 and actual figures, the model’s total heating and cooling loads increased by 33% with cooling decreasing by 36% and heating increasing by 77%. Above analysis results show that evaluation of window performance based on criteria such as KS F 2278 and KS L 9107 may lead to distortion of performances different from actual products. Thus, it is necessary to suggest new evaluation criteria.

목차

Abstract
1. 서론
2. 면적 변화에 따른 창호 에너지성능평가
3. 건물에너지 성능 분석
4. 결론
REFERENCES

참고문헌 (10)

참고문헌 신청

함께 읽어보면 좋을 논문

논문 유사도에 따라 DBpia 가 추천하는 논문입니다. 함께 보면 좋을 연관 논문을 확인해보세요!

이 논문의 저자 정보

이 논문과 함께 이용한 논문

최근 본 자료

전체보기

댓글(0)

0

UCI(KEPA) : I410-ECN-0101-2020-563-000418993