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
Oscar Kang (Seoul National Univ. of Science and Technology) Sunji Kim (Seoul National Univ. of Science and Technology)
저널정보
한국생태환경건축학회 KIEAE Journal KIEAE Journal Vol.21 No.1(Wn.107)
발행연도
2021.2
수록면
13 - 22 (10page)
DOI
10.12813/kieae.2021.21.1.013

이용수

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

초록· 키워드

오류제보하기
Purpose: This research is a review of current and past daylighting simulation tools from the perspective of the Architect, one of the key stakeholder in the integration of the science of daylighting into architectural practice. The review is evaluated based on criteria identified through existing literature. First, a review of integration and interoperability with mainstream architectural CAD platform is initiated and second an evaluation of select tools were performed based on a simple simulation task involving a typical classroom. Method: Over fifty daylighting simulation tools are categorized based on its integration and plotted on an “integration matrix” to illustrate compatibility with mainstream architectural software. The matrix is used as a basis to identify daylighting simulation tools for further evaluation. Evaluation of the tools are based on functionality, ease of use, and visualization. Result: Findings include recent increase in available daylighting simulation tools in the form of plug-ins to existing architectural CAD platforms. In addition, the integration matrix provides valuable information to architects and designers in the selection of Daylighting Simulation Tool, one of the key hurdles that designers face in the implementation of daylighting in architectural design practice. Furthermore, the evaluation of the tools provides information in the aid and development of future Daylighting Simulation Tools.

목차

ABSTRACT
1. Introduction
2. Theory
3. Integration Matrix
4. Results
5. Conclusion
Reference

참고문헌 (0)

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-0101-2021-610-001565242