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A study on the engineering optimization for the commercial scale coal gasification plant
김병현(Kim, Byeong-Hyeon),민종선(Min, Jong-Sun),김재환(Kim, Jae-Hwan) 한국신재생에너지학회 2010 한국신재생에너지학회 학술대회논문집 Vol.2010 No.11
This study was conducted for engineering optimization for the gasification process which is the key factor for success of Taean IGCC gasification plant which has been driven forward under the government support in order to expand to supply new and renewable energy and diminish the burden of the responsibility for the reduction of the green house gas emission. The gasification process consists of coal milling and drying, pressurization and feeding, gasification, quenching and HP syngas cooling, slag removal system, dry flyash removal system, wet scrubbing system, and primary water treatment system. The configuration optimization is essential for the high efficiency and the cost saving. For this purpose, it was designed to have syngas cooler to recover the sensible heat as much as possible from the hot syngas produced from the gasifier which is the dry-feeding and entrained bed slagging type and also applied with the oxygen combustion and the first stage cylindrical upward gas flow. The pressure condition inside of the gasifier is around 40~45Mpg and the temperature condition is up to 1500{sim}1700?C. It was designed for about 70% out of fly ash to be drained out throughout the quenching water in the bottom part of the gasifier as a type of molten slag flowing down on the membrane wall and finally become a byproduct over the slag removal system. The flyash removal system to capture solid particulates is applied with HPHT ceramic candle filter to stand up against the high pressure and temperature. When it comes to the residual tiny particles after the flyash removal system, wet scurbbing system is applied to finally clean up the solids. The washed-up syngas through the wet scrubber will keep around 130{sim}135?C, 40~42Mpg and 250 ppmv of hydrochloric acid(HCl) and hydrofluoric acid(HF) at maximum and it is turned over to the gas treatment system for removing toxic gases out of the syngas to comply with the conditions requested from the gas turbine. The result of this study will be utilized to the detailed engineering, procurement and manufacturing of equipments, and construction for the Taean IGCC plant and furthermore it is the baseline technology applicable for the poly-generation such as coal gasification(SNG) and liquefaction(CTL) to reinforce national energy security and create new business models.
김병현(Byeong Hyeon Kim),강홍구(Hong-Goo Kang),장인선(Inseon Jang) 한국방송·미디어공학회 2024 한국방송미디어공학회 학술발표대회 논문집 Vol.2024 No.6
본 논문에서는 심층신경망 기반 음성 압축 모델의 지연 시간 단축에 따른 성능 변화를 분석하고, 보다 효과적인 저지연 모델 설계 방식을 제안한다. 최근 제안된 심층신경망 기반 오디오 및 음성 압축 모델들은 낮은 비트 전송률에서 기존의 신호처리 기반의 코덱 대비 뛰어난 복원 성능을 달성하였다. 그러나, 대부분의 심층신경망 기반 모델은 기존 신호처리 기반 오디오 코덱 과 유사한 지연시간을 필요로 한다. 따라서, 본 논문에서는 합성곱 신경망 기반 오디오 압축 모델의 지연시간을 단축시킴으로써 오는 성능 변화를 분석하고, 수용장의 확장 등 구조 변경을 통해 저지연 조건에서도 기존 모델과 유사한 복원 성능을 달성할 수 있음을 보인다.