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김범주,Kim, Beom-Ju 한국전력공사 2016 KEPCO Journal on electric power and energy Vol.2 No.4
The worldwide research and development for high-efficiency power generation system is progressing steadily because of the growing demand for reducing greenhouse gas emissions. Many countries have spurred the research and development of supercritical $CO_2$ power generation technology since 2000 because it has the advantage of compactness, efficiency, and diversity. Supercritical $CO_2$ power generation system can be classified into an indirect heating type and a direct heating type. As of now, most studies have concentrated on the development of indirect type supercritical $CO_2$ power generation system. In the United States, NREL(National Renewable Energy Lab.) is developing supercritical $CO_2$ power generation system for Concentrating Solar Power. In addition, U.S. DOE(Department of Energy) also plans to start investing in the development of the supercritical $CO_2$ power generation system for coal-fired thermal power plant this year. GE is developing not only 10MW supercritical $CO_2$ power generation turbomachinery but also the conceptual design of 50MW and 450MW supercritical $CO_2$ power generation turbomachinery. In Korea, the Korean Atomic Energy Research Institute has constructed the supercritical $CO_2$ power generation test facility. Moreover, KEPRI(Korea Electric Power Research Institute) is developing a 2MW-class supercritical $CO_2$ power generation system using diesel and gas engine waste heat with Hyundai Heavy Industries. 세계적으로 온실가스저감에 대한 요구가 높아지고 있는 가운데 고효율 발전 시스템의 개발에 대한 연구개발이 꾸준히 진행되고 있다. 초임계 $CO_2$ 발전기술은 효율 향상과 소형화, 다양성의 장점을 가지고 있어, 2000년대 이후 세계 여러 나라에서 연구개발에 박차를 가하고 있다. 초임계 $CO_2$ 발전 시스템은 $CO_2$를 작동유체로 하는 발전 시스템으로 크게 간접가열방식과 직접가열방식으로 구분될 수 있다. 현재, 대부분의 연구는 간접가열방식의 초임계 $CO_2$ 발전 시스템 개발에 집중되어 있고, 미국은 NREL을 중심으로 태양열 연계 초임계 $CO_2$ 발전 시스템을 개발 중이며, DOE는 올 해 화력 연계 초임계 $CO_2$ 발전 시스템 개발에 대한 투자도 시작할 계획이다. GE는 10MW급 초임계 $CO_2$ 발전 시스템 개발뿐만 아니라, 50MW급과 450MW급 초임계 $CO_2$ 발전시스템의 개념 설계도 진행 중에 있다. 우리 나라에서는 원자력연구원이 초임계 $CO_2$ 발전시험 설비를 구축해오고 있으며, 한국전력공사 전력연구원은 현대중공업과 함께 디젤 및 가스엔진 폐열을 이용하여 2MW급 초임계 $CO_2$ 발전시스템 개발을 진행 중에 있다.
김범주,강지훈,진영호,이재백 대한응급의학회 2000 대한응급의학회지 Vol.11 No.3
Blunt chest trauma can result in significant cardiovascular damage that can include myocardial contusion, aortic injury, or cardiac valvula injury. Although valvular damage secondary to blunt chest trauma is a common enough clinical problem, isolated cardiac valvular injury is often overlooked and is difficult to diagnose in a patient with multiple injuries. Aortic valve regurgitation is an uncommon consequence of blunt chest trauma. It is caused by damage to the valve cusps, We report two cases of posttraumatic aortic regurgitation that was detected during hospital admission periods, This report is presented to emphasis the significance of traumatic aortic regurgitation and the need for careful evaluation of the cardiac status in ED patients with blunt chest trauma.
김범주,Kim, Beom-Joo 한국기술사회 2011 技術士 Vol.44 No.1
The KEPCO Research Institute has developed Molten Carbonate Fuel Cell(MCFC) since 1993. Recently, an 125-kW MCFC system was operated at Boryeong thermal power plant, Korea from December, 2009 to March, 2010, This system is composed of an 125-kW stack, mechanical balance of plant (MBOP), and Power Conditioning System. The stack has 200 unit cells of which effective area is 10,000 cm2. Especially, MBOP is mainly made up of ejector and catalytic combustor which help this system to be supplied with cathode inlet gas using anode tail gas and fresh air. After the pretreatment of this system was performed for about 20 days, initial load operation was performed at January. 2010. Moreover, this system had been operated for 3,270 hours.
표준관입시험결과를 이용한 사질토 지반의 전단파속도 예측 : 인공신경망 모델의 적용
김범주,호준기,황영철 한국지반공학회 2014 한국지반공학회논문집 Vol.30 No.5
Although shear wave velocity (Vs) is an important design factor in seismic design, the measurement is not usuallymade in typical field investigation due to time and economic limitations. In the present study, an investigation wasmade to predict sand Vs based on the standard penetration test (SPT) results by using artificial neural network (ANN)model. A total of 650 dataset composed of SPT-N value (N60), water content, fine content, specific gravity for inputdata and Vs for output data was used to build and train the ANN model. The sensitivity analysis was then performedfor the trained ANN to examine the effect of the input variables on the Vs. Also, the ANN model was compared withseven existing empirical models on the performance. The sensitivity analysis results revealed that the effect of the SPT-Nvalue on Vs is significantly greater compared to other input variables. Also, when compared with the empirical modelsusing Nash-Sutcliffe Model Efficiency Coefficient (NSE) and Root Mean Square Error (RMSE), the ANN model wasfound to exhibit the highest prediction capability.