• AI글쓰기 2.1 업데이트
PARTNER
검증된 파트너 제휴사 자료

주거공간 내 사용자인식기술 적용 조명에너지 저감 광선반 시스템 연구 (A Study on Light-Shelf System using Context Awareness Technology for Energy Saving in Housing Space)

9 페이지
기타파일
최초등록일 2025.05.06 최종저작일 2012.11
9P 미리보기
주거공간 내 사용자인식기술 적용 조명에너지 저감 광선반 시스템 연구
  • 미리보기

    서지정보

    · 발행기관 : 대한건축학회
    · 수록지 정보 : 대한건축학회논문집 / 28권 / 11호 / 357 ~ 365페이지
    · 저자명 : 서태원, 이행우, 김용성

    초록

    The current energy consumption of buildings occupies 23.5% of the total energy consumption in Korea, a high ratio, of which about 22% is consumed through lighting energy. For that reason, various experiments and research have been undertaken to reduce the energy consumption needs of indoor artificial lighting. This study suggests a light-shelf system applied with user recognized technology based on considerations of the light-shelf system and user recognized technology, and verified the possibility of introducing it to residences, and its effectiveness by comparing the results of energy reduction performance evaluations for the proposed light-shelf system with the user recognized technology and that with user unrecognized technology.
    The light-shelf system applying user recognized technology is a system that allows the occupant to set the luminance value of the room so that the light-shelf system and lighting can be interlocked and provide the luminance value requested by the occupant. In order to verify the energy reduction effects of the light-shelf system with the user recognized technology applied, this study has calculated the power consumption of lighting energy for a user unrecognized fixed light-shelf system, a user recognized fixed light-shelf system and a user recognized variable light-shelf system. From the results, when comparing the user unrecognized fixed light-shelf system and the user recognized fixed light-shelf system, Case A did not generate a reduction in energy consumption, and Case B saw a 4.4% reduction of lighting energy consumption levels. Case C generated a 13.3% reduction of lighting energy consumption. When comparing the user recognized fixed light-shelf system and the user recognized variable light-shelf system, power consumption was equivalent in Case A of one occupant and A, B and A, Case C for 2 occupants, while a 13.3% energy reduction was achieved for Case B of 1 occupant and B, Case C of 2 occupants. Case C of 1 occupant also achieved a 15.2% lighting energy consumption reduction. The user recognized variable light-shelf system showed the largest reduction of lighting energy power consumption, followed by the user recognized fixed light-shelf system and the user unrecognized light-shelf system in order of the reduction of lighting energy power consumption from user recognition.

    영어초록

    The current energy consumption of buildings occupies 23.5% of the total energy consumption in Korea, a high ratio, of which about 22% is consumed through lighting energy. For that reason, various experiments and research have been undertaken to reduce the energy consumption needs of indoor artificial lighting. This study suggests a light-shelf system applied with user recognized technology based on considerations of the light-shelf system and user recognized technology, and verified the possibility of introducing it to residences, and its effectiveness by comparing the results of energy reduction performance evaluations for the proposed light-shelf system with the user recognized technology and that with user unrecognized technology.
    The light-shelf system applying user recognized technology is a system that allows the occupant to set the luminance value of the room so that the light-shelf system and lighting can be interlocked and provide the luminance value requested by the occupant. In order to verify the energy reduction effects of the light-shelf system with the user recognized technology applied, this study has calculated the power consumption of lighting energy for a user unrecognized fixed light-shelf system, a user recognized fixed light-shelf system and a user recognized variable light-shelf system. From the results, when comparing the user unrecognized fixed light-shelf system and the user recognized fixed light-shelf system, Case A did not generate a reduction in energy consumption, and Case B saw a 4.4% reduction of lighting energy consumption levels. Case C generated a 13.3% reduction of lighting energy consumption. When comparing the user recognized fixed light-shelf system and the user recognized variable light-shelf system, power consumption was equivalent in Case A of one occupant and A, B and A, Case C for 2 occupants, while a 13.3% energy reduction was achieved for Case B of 1 occupant and B, Case C of 2 occupants. Case C of 1 occupant also achieved a 15.2% lighting energy consumption reduction. The user recognized variable light-shelf system showed the largest reduction of lighting energy power consumption, followed by the user recognized fixed light-shelf system and the user unrecognized light-shelf system in order of the reduction of lighting energy power consumption from user recognition.

    참고자료

    · 없음
  • 자주묻는질문의 답변을 확인해 주세요

    해피캠퍼스 FAQ 더보기

    꼭 알아주세요

    • 자료의 정보 및 내용의 진실성에 대하여 해피캠퍼스는 보증하지 않으며, 해당 정보 및 게시물 저작권과 기타 법적 책임은 자료 등록자에게 있습니다.
      자료 및 게시물 내용의 불법적 이용, 무단 전재∙배포는 금지되어 있습니다.
      저작권침해, 명예훼손 등 분쟁 요소 발견 시 고객센터의 저작권침해 신고센터를 이용해 주시기 바랍니다.
    • 해피캠퍼스는 구매자와 판매자 모두가 만족하는 서비스가 되도록 노력하고 있으며, 아래의 4가지 자료환불 조건을 꼭 확인해주시기 바랍니다.
      파일오류 중복자료 저작권 없음 설명과 실제 내용 불일치
      파일의 다운로드가 제대로 되지 않거나 파일형식에 맞는 프로그램으로 정상 작동하지 않는 경우 다른 자료와 70% 이상 내용이 일치하는 경우 (중복임을 확인할 수 있는 근거 필요함) 인터넷의 다른 사이트, 연구기관, 학교, 서적 등의 자료를 도용한 경우 자료의 설명과 실제 자료의 내용이 일치하지 않는 경우

“대한건축학회논문집”의 다른 논문도 확인해 보세요!

문서 초안을 생성해주는 EasyAI
안녕하세요 해피캠퍼스의 20년의 운영 노하우를 이용하여 당신만의 초안을 만들어주는 EasyAI 입니다.
저는 아래와 같이 작업을 도와드립니다.
- 주제만 입력하면 AI가 방대한 정보를 재가공하여, 최적의 목차와 내용을 자동으로 만들어 드립니다.
- 장문의 콘텐츠를 쉽고 빠르게 작성해 드립니다.
- 스토어에서 무료 이용권를 계정별로 1회 발급 받을 수 있습니다. 지금 바로 체험해 보세요!
이런 주제들을 입력해 보세요.
- 유아에게 적합한 문학작품의 기준과 특성
- 한국인의 가치관 중에서 정신적 가치관을 이루는 것들을 문화적 문법으로 정리하고, 현대한국사회에서 일어나는 사건과 사고를 비교하여 자신의 의견으로 기술하세요
- 작별인사 독후감
  • 전문가 요청 쿠폰 이벤트
  • 전문가요청 배너
해캠 AI 챗봇과 대화하기
챗봇으로 간편하게 상담해보세요.
2025년 12월 03일 수요일
AI 챗봇
안녕하세요. 해피캠퍼스 AI 챗봇입니다. 무엇이 궁금하신가요?
11:22 오후