http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
상업시설의 Zero Emission 계획을 위한 에너지절감 요소기술 적용에 관한 연구
박보랑(Park Bo-Rang),서성모(Seo Sung-Mo),이언구(Rhee Eon-Ku) 한국건축친환경설비학회 2012 한국건축친환경설비학회 학술발표대회 논문집 Vol.2012 No.3
Recent global warming (Global Warning) due to the serious problem of global climate change as CO2 reduction efforts are becoming active. In this study, commercial facilities for the CO2 reduction effect by introducing energy-saving element is to seek ways. For this purpose, Prototype set for commercial building and performance evaluation conducted about CO2reduction element technology through energy simulation. Then, Prototype ZEB to propose a commercial building by opimal combination of element technology.
박보랑(Park, Bo Rang),문진우(Moon, Jin Woo) 한국생태환경건축학회 2021 한국생태환경건축학회 학술발표대회 논문집 Vol.21 No.2
In this study, research papers of the last 5 years were investigated and analyzed to analyze the trends of air conditioning control technology for data center cooling energy reduction. As a result, related studies were investigated in 41 overseas cases and 35 domestic cases, and software-centered control studies with automation are active and easy to apply and expand compared to the past, which focused on safety and security, and hardware technology. In order to increase the number of energy-saving data centers in the future, an integrated control technology to which the latest solutions based on machine learning and artificial intelligence are applied should be developed, and the demonstration of the finally developed technology must be accompanied.
건물 열 환경 쾌적 제어를 위한 이미지 인식 기반 착의량 산출 모델개발
박보랑(Bo Rang Park),최은지(Eun Ji Choi),최영재(Young Jae Choi),문진우(Jin Woo Moon) 대한건축학회 2022 대한건축학회논문집 Vol.38 No.1
The purpose of this study is to develop an intelligent model that can estimate the clothing insulation (CLO) of occupants using real-time images. Also, performance and applicability of the model to the actual environment were analyzed through the experiment. A total of 16 individual garments and 9 clothing ensembles were set for the model development. The model was developed using the YOLOv5 network and trained on the collected clothing data. The classification performance of the developed model was denoted as 86.7% on average. The applicability of the model was evaluated using the real-time images of the subjects in the test-bed. As a result, the insulation value of the clothing ensembles can be accurately estimated with the MAE of 0.01 clo. This study confirmed the outstanding performance of the CLO estimation model and its high applicability to the actual indoor environment. Therefore, employing the CLO estimation model can contribute to improvement of occupant’s thermal comfort, and it is expected to be applied to various systems capable of PMV-based control.
박보랑(Park, Bo-Rang),구보경(Koo, Bo-Kyoung),김기태(Kim, Ki-Tae),이건호(Lee, Keon-Ho) 한국건축친환경설비학회 2014 한국건축친환경설비학회 논문집 Vol.8 No.3
Existing buildings have various problems, such as increased maintenance cost and lowered occupant comfort due to high consumption and inflation rate of energy. Thus, green remodeling is crucial which improves performances of existing buildings, in order to reduce the energy cost and greenhouse gas generation. Figuring out current problems of existing buildings and making decisions about remodeling are, however, not easy jobs for building stakeholders, such as building experts, owners, and occupants. Therefore, establishing a green remodeling process is crucial, which enables clear recognition of stage subject and task assignment for each project members throughout the whole remodeling process.
실내공기질 개선을 위한 은행잎의 폼알데하이드 제거 성능 분석
박보랑,Park, Bo Rang 한국토지주택공사 토지주택연구원 2019 LHI journal of land, housing, and urban affairs Vol.10 No.2
The purpose of this study was to examine the performance of formaldehyde removal from building materials using catechin contained in ginkgo leaf. A small chamber method was used to set up one control group and three experimental groups. As a result, it showed a reduction of formaldehyde from at least 73.5% to 77% when it was increased by 0.4g compared to the control (0g). In addition, it was confirmed by linear regression analysis that the amount of ginkgo leaf and the amount of formaldehyde emission were negatively correlated. Therefore, it was confirmed that the amount of formaldehyde emission was affected by ginkgo leaf.