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Variations of PMV based Thermal Comfort and Cooling/Heating Load according to MET
홍성협,연상훈,서병모,유병호,이광호 한국생태환경건축학회 2017 한국생태환경건축학회 논문집 Vol.17 No.6
Purpose: Korean government originally established the target of greenhouse gas emission reduction by 30% by the year of 2020, but adjusted the target to 37% reduction by 2030, recently. The efficient indoor environmental control is an essential factor for the achievement of the goal. However, most of the indoor environment control is based on the dry-bulb air temperature, which is one of the most simplified control methods having limitation to truly represent thermal comfort of individual occupants. A variety of factors affect the thermal comfort such as dry-bulb air temperature, humidity, air movement, radiation, clothing insulation and metabolic activity level. Method: In this circumstance, this study investigated the effects of MET (metabolic rate) on thermal load and PMV, which is the thermal comfort index considering all the comfort factors listed above. Four cased were simulated using EnergyPlus: Case1: 0.7 (Sleeping), Case2: 1.0 (Seated, quiet), Case3: 2.0 (Walking), Case4: 2.3 (Fast walking, Dish washing). Result: It turned out that indoor air temperature in MET 0.7 Case can be even 10℃ higher than that in MET 2.3 Case to accomplish the same PMV in the summer period and that MET has dominant effects on heating and cooling load in residential buildings.
화재방호 설비 설계 자동화를 위한 선행연구 및 기술 분석
홍성협,최두찬,이광호,Hong, Sung-Hyup,Choi, Doo Chan,Lee, Kwang Ho 한국토지주택공사 토지주택연구원 2020 LHI journal of land, housing, and urban affairs Vol.11 No.4
This paper presents the recent research developments identified through a review of literature on the application of artificial intelligence in developing automated designs of fire protection facilities. The literature review covered research related to image recognition and applicable neural networks. Firstly, it was found that convolutional neural network (CNN) may be applied to the development of automating the design of fire protection facilities. It requires a high level of object detection accuracy necessitating the classification of each object making up the image. Secondly, to ensure accurate object detection and building information, the data need to be pulled from architectural drawings. Thirdly, by applying image recognition and classification, this can be done by extracting wall and surface information using dimension lines and pixels. All combined, the current review of literature strongly indicates that it is possible to develop automated designs for fire protection utilizing artificial intelligence.
홍성협,박상렬,좌용현 한국도로학회 2010 한국도로학회논문집 Vol.12 No.3
Asphalt Plug Joint(APJ) is an buried expansion joint that enabling the smooth connection of expansion gap and road pavement by filling the gap with bituminous mixture of 20% bitumen and 80% aggregate by weight, so it secures evenness and expansion or contraction using the material's properties. Although APJ is designed to have a 6-7 year lifecycle, there are some cases where it is damaged within the first six months. This early damage cause traffic congestion due to frequent repair works, and social cost exceeding the installation cost of the joint. So, in this research, we have developed a new system of Buried Folding Lattice Joint(BFLJ) which can overcome the disadvantages of APJ, and have analyzed and compared it's performance with the conventional APJ through experiment with specimens. As a result of the experiment, APJ had crack formation on both ends of the gap plate, spreading to the surface of the expansion joint. With this result, we can conclude that the reason for early damage is the tension failure due to the concentration of strain in the asphalt mixture along the end of gap plate and the debonding along the joint section. In contrast, the newly developed BFLJ induced even transformation in the joint by applying moving stud and high performance material, and resolved APJ's disadvantage of strain concentration. Therefore, it could be seen that the newly developed BFLJ could overcome the disadvantages of APJ and prevent early damage. Asphalt Plug Joint(APJ)는 통상 무게비로 20%의 역청(bitumen)과 80%의 골재로 구성된 역청 혼합물을 이용하여 포장 사이의신축이음부를 메꾸는 형태의 신축이음장치로, 도로 포장과 신축이음부의 매끄러운 연결을 가능케 하여 평탄성을 확보하면서 재료의특성을 이용하여 교량 상판의 신축을 자체적으로 흡수하도록 되어 있는 매설형 신축이음장치이다. 그러나 APJ은 6-7년의 사용주기를 가지고 설계되지만 때때로 시공 후 6개월 내에 조기파손의 사례가 나타나고 있다. 이러한 조기파손은 잦은 보수 공사로 인한 교통정체 등을 유발하며 이로 인한 사회적 비용은 이음장치의 설치비용을 훨씬 상회한다. 이에 본 연구에서는 APJ의 단점을 극복할 수 있는 새로운 시스템인 Buried Folding Lattice Joint(BFLJ)을 개발하였고 시험체를 제작하여 실험을 통해 기존 시스템과 성능을 비교₩분석하였다. 실험결과 APJ는 신축에 의하여 철판 양끝에서 변형이 발생하여 표면으로 확산되었다. 이 결과로 철판 끝을 따라 발생하는 아스팔트 혼합물의 변형집중으로 인한 인장균열과 접합부의 부착파괴 현상이 발생하였으며 이것이 조기파손의 원인이 된다는 것을 알 수 있었다. 반면 새로 개발된 BFLJ의 경우는 움직이는 스터드를 사용하고 고성능 재료를 사용함으로써 조인트 전체에 고른 변형을 유도하여 APJ의 변형집중의 단점을 해소할 수 있었다. 이에 새로 개발된 BFLJ는 APJ의 문제점을 극복하고 조기파손을 예방할수 있을 것이라 판단된다.
홍성협,최두찬,이광호,박계원,최정민,정재군,신이철 한국재난정보학회 2020 한국재난정보학회 학술대회 Vol.2020 No.11
본 연구에서는 건축도면 객체 감지를 통한 인공지능 기반 화재방호 설비 자동화 모델의 방향성을 제시하고자 한다. 기술 분 석을 통하여 이미지 객체 감지 종류에 대한 분석을 진행하였으며, 이미지 처리에 탁월한 성능을 보이는 CNN을 통하여 건축도 면 학습, 감지, 분류의 가능성을 확인하였다. 그러나 보다 높은 정확도 객체 감지를 위하여 이미지 인식을 방해하는 노이즈 제거 를 통한 건축 도면내의 외벽 추출 및 위치정보 소실 방지를 위한 연구가 필요할 것으로 보인다.
아파트 건물에서 재실자 활동량이 고려된 PMV제어에 따른 연간 국가 차원의 1차 에너지 및 온실가스 감축량 분석
홍성협(Hong, Sung-Hyup),도성록(Do, Sung-Lok),이광호(Lee, Kwang Ho) 대한건축학회 2018 大韓建築學會論文集 : 構造系 Vol.34 No.10
In this study, the effects of considering hourly metabolic rate variations for predicted mean vote (PMV) control on the heating and cooling energy and greenhouse gas emission were investigated. The case adopting PMV control taking the hourly metabolic rate into account was comparatively analyzed against the conventional dry-bulb air temperature control, using a detailed simulation technique. Under the assumption that all the apartments in Korea adopt the PMV control incorporating real-time metabolic rate measurements, nationwide reductions of primary energy and greenhouse gas emission were analyzed. As a result, PMV control considering hourly metabolic rate variations is expected to reduce national primary energy by 6.2% compared to conventional dry-bulb air temperature control, corresponding to reduction of 10,342 GWh. In addition, it turned out that 6.6% of tCO2 emission can be reduced by adopting PMV control, corresponding to nationwide reduction of greenhouse gas emission by approximately 1,720,000 tCO2.