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정현준 ( Jung Hyun Jun ),남우석 ( Nam Woo Suk ),클레멘타인 ( Nyirarugira Clementine ),김규선 ( Kim Gyu Seon ),김동기 ( Kim Dong Key ) 한국구조물진단유지관리공학회 2018 한국구조물진단유지관리공학회 학술발표대회 논문집 Vol.22 No.2
Recently, there have been many studies to classify the image-based damage of bridge using the deep learning and to evaluate the condition. These attempts are one of the ways to overcome limitations of visual inspection through inspectors, and it is also aimed to reduce the cost of necessary maintenance budget by enabling accurate and rapid damage assessment of rapidly growing old facilities and difficult parts of visual inspection. However, it is possible to classify and quantitatively express simple damage (one damage classification such as cracks) with image information (big data) of bridges, but classification and quantification of complex damage can be done by using one deep learning is a limit. Therefore, this study presents considerations and a method to be used for damage detection on the image basis using deep learning.
병원과 데이터 센터의 수열 에너지 시스템 적용에 관한 연구
정현준(Hyun Jun Jung),윤린(Rin Yun) 대한설비공학회 2022 대한설비공학회 학술발표대회논문집 Vol.2022 No.6
With the revision of the Enforcement Decree of the New and Renewable Energy Act of 2019, the category of hydrothermal energy is expanding, and various hydrothermal energy technologies are developed and spread to develop hydrothermal energy as next-generation eco-friendly energy and renewable energy. The importance of hydrothermal energy is gradually expanding because it can reduce the cost of 20 ~ 50%, the power consumption energy and the carbon dioxide emissions compared to the existing cold heating system using fossil fuels by applying hydrothermal energy to cold heating and air conditioning systems of various buildings. Therefore, this study aims to contribute to the expansion and dissemination of next generation hydrothermal energy industry by applying hydrothermal energy system to buildings such as hospitals and data centers to provide various performance indicators such as COP and power consumption. The average annual cooling and heating COP was 3.53 and the average monthly power consumption was 364,442,825 kJ when the water heat source heat pump system with the water heat source as Daecheong dam was applied to hospitals with a size of 19011㎡. For Data centers with a size of 1000㎡, the average annual cooling and heating COP was 4.56 and the average monthly power consumption was 1,084,690,364kJ.
정현준(Jung Hyun-Jun),안현경(Ahn Hyun Kyoung),이인형(Rhee In Hyoung) 한국산학기술학회 2006 한국산학기술학회 학술대회 Vol.- No.-
본 논문에서는 용액의 농도가 이온교환 특성에 미치는 영향을 조사하기 위하여 농도는 Na⁺ 50, 125, 250ppm, Cl⁻ 165, 315, 610ppm, 입자성 물질의 유입 농도 0ppm, 유속 500ml/min, 이온교환 수지는 ROHM&HAAS IR 120 양이온 수지와 ROHM&HAAS IRA 402 음이온 수지를 사용하였다. 수지탑 배열은 혼상-혼상-음이온 수지탑 순으로, 이온교환 수지탑의 양·음이온교환 수지의 조성 비율은 1:2 로 실험한 결과 이온교환 수지탑 성능은 유입 용액 성분 및 농도에 영향을 받는 것으로 나타났다. 이온교환 수지탑 배열 순서에 따라 파과시점이 연장되며, 파과순서는 음이온의 경우 Cl⁻<NO₃⁻<F⁻, 양이온의 경우 Na⁺<K⁺<Ca²⁺ 순 이였으며, 용액의 농도가 증가할수록 파과시간이 단축되었다.
병원과 데이터 센터의 수열 에너지 시스템 적용에 관한 연구
정현준(Hyun Jun Jung),윤린(Rin Yun) 대한설비공학회 2022 대한설비공학회 학술발표대회논문집 Vol.2022 No.6
With the revision of the Enforcement Decree of the New and Renewable Energy Act of 2019, the category of hydrothermal energy is expanding, and various hydrothermal energy technologies are developed and spread to develop hydrothermal energy as next-generation eco-friendly energy and renewable energy. The importance of hydrothermal energy is gradually expanding because it can reduce the cost of 20 ~ 50%, the power consumption energy and the carbon dioxide emissions compared to the existing cold heating system using fossil fuels by applying hydrothermal energy to cold heating and air conditioning systems of various buildings. Therefore, this study aims to contribute to the expansion and dissemination of next generation hydrothermal energy industry by applying hydrothermal energy system to buildings such as hospitals and data centers to provide various performance indicators such as COP and power consumption. The average annual cooling and heating COP was 3.53 and the average monthly power consumption was 364,442,825 kJ when the water heat source heat pump system with the water heat source as Daecheong dam was applied to hospitals with a size of 19011㎡. For Data centers with a size of 1000㎡, the average annual cooling and heating COP was 4.56 and the average monthly power consumption was 1,084,690,364kJ.