http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
그린리모델링 활성화를 위한 비전문가용 에너지 시뮬레이션 프로그램 개발 연구
방선규(Bang, Sun-Kyu),유정현(Yoo, Jung-Hyun),황하진(Hwang, Ha-Jin) 대한건축학회 2017 대한건축학회 학술발표대회 논문집 Vol.37 No.1
To receive interest support for the Green Remodeling, applicants must submit a energy simulation test report. However, many of the residents are not green remodeling specialist and energy simulation services are too expensive. The purpose of this study was to develop an energy simulation program for the non-specialist. This includes reducing input data for accessibility improvement for non specialist. In this study, input data was reduced by categorizing the following for the area, plan type, hot water supply, electricity supply, statistical inference. To accurately verify the calculation result, the heat load demand was compared with ECO2 and Energy # program. The calculation showed there was a difference of 4% in the heat load. As a result, the study shows the program can be effectively used by non specialist.
그린리모델링 활성화를 위한 비전문가용 에너지 소비량 산정 프로그램 개발연구
방선규(Bang, Sun-Kyu),유정현(Yoo, Jung-Hyun),김두환(Kim Du-Hwan) 대한건축학회 2018 大韓建築學會論文集 : 構造系 Vol.34 No.11
To receive financial support for the Green Remodeling, applicants must submit an energy simulation report. However, many of the applicants are not green remodeling specialist and energy simulation services are too expensive for them. For this reason, this study was to develop an energy simulation program to enhance green remodeling for the non-specialist such as housewives. Firstly, to enhance understanding and accessibility improvement energy simulation, simulation process was designed four steps and reducing input data. Specifically, input data was reduced by categorizing the following for the area, plan type, hot water load, electricity load, statistical inference. And then, to accurately verify the calculation result, the heat and hot water demand were derived and compared with ECO2 and Energy # program. Lastly, the calculation shows that there is a difference of 4% for the heat load and 15% to 33% for the hot water load respectively.
공동주택 열, 전기 소비특성 차이에 따른 연료전지 종류별 에너지 효율화 차이 비교
유정현(Yoo, Jung-Hyun),방선규(Bang, Sun-Kyu),김가연(Kim, Ga-Yeon),윤인환(Yoon, In-Whan) 한국건축친환경설비학회 2021 한국건축친환경설비학회 논문집 Vol.15 No.5
This study analyzed the applicability of fuel cells as new energy sources in the residential sector based on the theoretical equation. Specifically, considering that fuel cells are a type of cogeneration system, the energy saving effects of fuel cells were compared to existing individual heating system. The conclusions obtained from this study are summarized as follows: (1) The most distributed PEMFC for buildings was found to have maximum efficiency at around heat ratio 1.0 and SOFC and PAFC was have maximum energy efficiency between heat ratio 0.1 and 0.5. The primary energy savings of PEMFC 20%, SOFC 30%, and PAFC 23% could be expected if 50% of the power load was fuel cell system. (2) Consumption of electricity and hot water was found to have a large impact on the difference in the number of households, and in the case of heating, it was analyzed that the difference between household members was not significant. It was found that a detailed analysis of household characteristics or types of energy consumption should be reflected in determining fuel cells types. (3) It was analyzed that the application effect of PEMFC in unit A with high thermal potential. But SOFC or PAFC in unit B with a higher power load ratio compared to thermal load would be high. In particular, according to the characteristics of fuel cells, PEMFC with high heat recovery were found to have high energy efficiency in mid-season, winter, and SOFC with high power generation efficiency in summer.