논문집

원문다운로드
논문명 친환경건축물의 실내공기질(TVOC, HCHO) 평가방식 개선을 위한 예측방정식 개발에 관한 연구/Development of Predictive Equation of Indoor Air Quality (TVOC and HCHO) for Improvement of Sustainable Architecture Assessment Systems
저자명 강혜진(Kang, Hae Jin) ; 김혜연(Kim, Hye Yeon)
발행사 한국건축친환경설비학회
수록사항 한국건축친환경설비학회 논문집  , Vol.9 No.2
페이지 시작페이지(145) 총페이지(6)
ISSN 1976-6483
주제분류 환경및설비
주제어 실내공기질 ; 실내마감재 ; 환기횟수 ; 총량평가 ; 예측방정식 Indoor Air Quality ; Interior Architecture Finish ; Ventilation rate ; Performance Path ; Predicted Equation
요약2 The majority of certification systems evaluate indoor air quality by the considering the factors affecting the indoor air quality (e.g. interior architecture finishing, the possibility of bake out, ventilation rate, etc.) as individual items. These individual evaluation methods considering individual factors, offer a simple method for a rapid evaluation of indoor air quality during the planning stage of the method. However, these evaluation methods make it difficult to grasp the degree of overall improvement in the indoor air quality, and they cannot accurately reflect how much each of these items contribute to the indoor air quality improvement in terms of their weighted values. Although a number of programs have been developed for the evaluation of indoor air quality, they cannot perform rapid calculations because of being too complicated and requiring various input values. Hence, in this study, we aim to develop a certification system with a simple equation that can be used for an overall evaluation of the indoor air quality. To set up a variable to be input in the equation, the factors examined for the analysis included: wall/ceiling paper, adhesive for wall/ceiling paper, floor material, adhesive for floor material, and ventilation rate. The experimental design which helped us identify the main factors, among the main factors, with a minimum number of experiments was used as a measure to decrease the number of experiments. The indoor air quality scenarios were simulated using a validation equation, and the results of the simulations were used as data for multiple regression analysis for the development of load prediction equations.
소장처 한국건축친환경설비학회