• Korean Chemical Engineering Research
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• v.52 no.6
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• pp.720-726
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• 2014

PEM fuel cell vehicles have been getting much attraction due to a sort of highly clean and effective transportation. The onboard fuel processor, however, is inevitably required to supply the hydrogen by conversion from some fuels since there are not enough available hydrogen stations nearby. A lot of studies have been focused on analyses of ATR reactor under the assumption of thermo-neutral condition and those of the optimized process for the minimization of energy consumption using thermal efficiency as an objective function, which doesn't guarantee the maximum hydrogen production. In this study, the analysis of optimization for 100 kW PEMFC onboard fuel processor was conducted targeting various fuels such as gasoline, LPG, diesel using newly defined hydrogen efficiency and keeping simply synthesized heat exchanger network regardless of external utilities leading to compactness and integration. Optimal result of gasoline case shows 9.43% reduction compared to previous study, which shows the newly defined objective function leads to better performance than thermal efficiency in terms of hydrogen production. The sensitivity analysis was also done for hydrogen efficiency, heat recovery of each heat exchanger, and the cost of each fuel. Finally, LPG was estimated as the most economical fuel in Korean market.

• The Inventors News
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• no.48
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• pp.1-16
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• 2006

축사/발명 유비쿼터스 선도하는 언론 지향/'발명하는 사람들' 창간 4주년 맞다/'발명하는 사람들' 창간 4주년을 축하합니다/반도체 공정분야 특허 출원 급증/운동화에도 웰빙 바람/공기청정기 특허출원 꾸준한 증가/차세대 반도체 특허, 회로.응용 분야에 집중/맥주, 이제 병이 아닌 플라스틱 용기에/특허고객콜센터, 품질인증 획득/특허청,'찾아가는 특허검색서비스' 제공/직무발명보상 개정법 관련 세미나/'쟁점별 특허소송 가이드북'제작/특허청 연구회, 고객감동 경영의 밑거름/한국특허정보원,2006 한국서비스대상 공공부문 대상 수상/현대차, 특허침해 찾으면 로열티 10% 지급/나이키 짝퉁, 한해 3백60만 켤레 적발/특허청, 자동차부품연구원과 업무협약/휴대용 포토 프린터 특허 출원 증가/역사 속의 발명품/하루 10분 발명교실/특허Q&A/한국여성발명협회 13년 발자취/미니인터뷰/이공계 대학교수 대상 특허정보 세미나 개최/실용신안 등록출원, 우선심사 대상 확대/자료 수집을 소홀히 마라/특허청 간부진, 고객 현장 속으로/삼성, 중국 저명상표로/포스코, 특허시스템 가동/도미다의 원너 커트/월마트, 짝퉁 '펜디' 판매로 망신살/일본, '지적재산권 입국' 계획 마련/미국-유럽연합, 짝퉁 퇴치 나선다/특허청, 자체 브랜드 '특허로' 첫상표출원/인청 부평지식재산센터, 발명가 초청강연회 개최/'2006 피츠버그 국제전' 에서 국내 발명가 수상/세계 최고 4대 건강식품/특허법원, 책 제목 출판사 소유로/한국여성발명협회 회원사 발명품 가이드/'2006년 여대생 발명캠프'/

• Proceedings of the Korean Vacuum Society Conference
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• 1999.07a
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• pp.40-40
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• 1999

가속기나 토카막과 같은 거대한 진공 장치의 용기 내벽을 청정화 하기 위해서는 용기 전체의 열처리(굽기, Baking)와 글로우 방전(Glow discharge) 법을 병행하여 사용한다. Baking은 일반 기체(N2, O2, 그리고 CO2)와 물(H2O)의 탈착에 효과적이고, Glow discharge cleaning은 탄소(Carbon-based)와 산소(Oxygen-based) 화합물의 탈착에 효과적이다. 특히 Glow discharge cleaning의 경우에는 전극의 모양, 진공 용기의 재질과 모양, 전극간의 거리, 사용되는 반응 기체의 압력 등에 따라 그 효과에 큰 차이가 있으므로 다각적인 연구가 필요하다. 본 연구에서는 그림 1과 같이 시험용 스테인레스(AISI 304와 AISI 316LN) 진공 용기를 설치하고, 시험 용기의 한쪽은 배기 용기와 oriffice로, 다른 편은 불순물의 정성.정량 분석을 위해 RGA(Residual gas analyser) 용기와 oriffice로 연결하였다. 전체 시스템 중에서 배기 부분과 분석 부분은 15$0^{\circ}C$에서 24시간 가열하여 전체의 기저 진공도를 1$\times$10-8Torr로 하였다. 기저 진공도의 용기에 고순도의 반응기체 (He, Ar, Ar+He, Ar+H2, Ar+N2 등)를 주입한후, DC 전압(0.8~1.5kV)을 변화하며 글로우 방전의 최적조건을 찾았다. 방전 동안 시험용 용기에서 방출되는 반응 기체 이외의 기체를 RGA로 측정하였고 외부에 Thermocouple을 여러곳에 장착하여 온도 변화를 측정하였다. 이상의 결과로부터 진공 용기 표면적으로부터의 불순물 탈착(desorption)과 불순물 분석, 플라즈마와 내벽의 상호작용등에 대한 결론을 얻을 수 있었다. 또한 Baking과 Glow discharge cleaning을 동시에 수행하여 Baking 온도의 낮춤에 따른 영향 평가도 수행하였다.

• Proceedings of the Korean Vacuum Society Conference
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• 2012.02a
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• pp.111-111
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• 2012

지식경제부의 청정제조기반 산업원천개발사업의 일환으로 진행 중인 "초고진공펌프 개발" 과제 중 제 3 세부 과제인 "고진공펌프종합특성평가시스템 설계, 진단기술 개발" 과제에서 추진되고 있는 연구결과를 소개한다. 국내 초고진공펌프 개발 수준의 선진화를 위한 기본적인 초석 확립은 현존하는 모든 진공 발생 장치의 국제적 신뢰성이 있는 완벽한 성능평가의 구현에 있다고 할 수 있다. 고진공펌프개발 총괄 과제의 대명제는 "국제적 신뢰성을 가지는 상용화 제품의 완성"이며, 이를 위한 3세부과제의 추진 방향은 기 완료된 1단계 기술개발에 근거한 1세부과제 및 2세부과제와의 유기적인 infra를 통한 성공적인 지원체계 구축 및 상용화 제품 개발 단계의 모든 신뢰성 확보 전략을 수립, 수행하는 것을 골자로 하고 있다. 또한 2단계 사업 추진 동안 제품 개발 주체인 산업체에 모든 개발된 기술을 적용할 수 있는 기반 제공 및 상용화를 위한 성공적인 기술이전도 포함된다. 상용화 개발 완료 후인 Post Project 기간 동안에 발생할 수 있는 모든 지원 체계의 구축도 장기간에 걸친 연구 개발의 연장선상에서 추진되어야 될 것으로 예상된다. 상용화 단계의 내구성 및 신뢰성 확보를 위한 전제 조건은 대외적으로 공표할 수 있는 시험평가 데이터와 개발 주체에서 기밀 수준으로 유지해야만 하는 민감한 자료의 상시 생산 infra의 구축으로 볼 수 있다. 이러한 고진공펌프개발이라는 과제의 대명제를 완성하기 위하여 추진 연구개발 방향 등 향후 2년간의 최종 상용화에 필요한 국제 신뢰성, 공정대응성 확보 등 핵심사업 추진내용 및 infra 구축의 상세설계 로드맵 초안을 고찰하고자 한다. 본 연구는 지경부 산업원천기술개발사업 중 "초고진공펌프 개발" 사업의 제 3 세부과제인 "고진공펌프종합특성평가시스템 설계, 진단기술 개발" 과제(과제번호: 10031836)에서 수행된 연구결과의 일부임.

• Clean Technology
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• v.19 no.4
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• pp.437-445
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• 2013

To develop SEWGS (sorption enhanced water gas shift) system using dry $CO_2$ absorbent for pre-combustion $CO_2$ capture, hydrodynamic characteristics of $CO_2$ absorbents were measured and investigated. The minimum fluidization velocity of $CO_2$ absorbent was measured and the effects of the operating conditions were investigated to operate the system at bubbling fluidized bed condition. The minimum fluidization velocity decreased as pressure and temperature increased. Moreover, the minimum fluidization velocity decreased as column diameter increased. The effects of operating conditions on the solid circulation rate were measured and investigated to select appropriate operating conditions for continuous $CO_2$ capture and regeneration. The measured solid circulation rates were ranged between 10 and 65 kg/h and increased as the solid injection velocity, gas velocity in the regeneration reactor, and solid height increased.

• Clean Technology
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• v.13 no.2
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• pp.109-114
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• 2007

In this study, we performed basic researches to develop wet purification system for improving air qualities of ventilation in semiconductor manufacturing process. Using 0.5 M aqueous solution of $KMnO_4$, 50 ppm of $NH_3$, SOx and NOx were reduced to 99% successfully. However, the removal of $O_3$ was limited to $22{\sim}30%$ for all the tested chemical solutionsincluding $KMnO_4$. Therefore, adoption of a dry ozone filter is necessary to reduce $O_3$ below a satisfactory level. For all the chemical solutions tested, NOx removal efficiency increased as NOx was mixed with $O_3$. As chemical solution was sprayed using water spraying system equipped with air atomizing type nozzle, the removal efficiencies of gaseous pollutants increased due to the increase of gas-liquid interfacial area.

• Journal of Navigation and Port Research
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• v.46 no.6
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• pp.562-569
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• 2022

The alarm monitoring technology applied to existing operating ships manages data items such as temperature and pressure with AMS (Alarm Monitoring System) and provides an alarm to the crew should these sensing data exceed the normal level range. In addition, the maintenance of existing ships follows the Planned Maintenance System (PMS). whereby the sensing data measured from the equipment is monitored and if it surpasses the set range, maintenance is performed through an alarm, or the corresponding part is replaced in advance after being used for a certain period of time regardless of whether the target device has a malfunction or not. To secure the reliability and operational safety of ship engine operation, it is necessary to enable advanced diagnosis and prediction based on real-time condition monitoring data. To do so, comprehensive measurement of actual ship data, creation of a database, and implementation of a condition diagnosis monitoring system for condition-based predictive maintenance of auxiliary equipment and piping must take place. Furthermore, the system should enable management of auxiliary equipment and piping status information based on a responsive web, and be optimized for screen and resolution so that it can be accessed and used by various mobile devices such as smartphones as well as for viewing on a PC on board. This update cost is low, and the management method is easy. In this paper, we propose CBM (Condition Based Management) technology, for autonomous ships. This core technology is used to identify abnormal phenomena through state diagnosis and monitoring of pumps and purifiers among ship auxiliary equipment, and seawater and steam pipes among pipes. It is intended to provide performance diagnosis and failure prediction of ship auxiliary equipment and piping for convergence analysis, and to support preventive maintenance decision-making.

• Clean Technology
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• v.29 no.3
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• pp.185-192
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• 2023

This study was conducted to obtain basic process simulation data before conducting pyrolysis experiments for the development of a thermochemical conversion system by recirculation of heat carrier and gases thereby. In this study, polypropylene (PP) was used as a pyrolysis sample material as an alternative to waste plastics, and fluid sand was used as a heat transfer medium in the system. Manganese (Mn) was chosen as the catalyst for the pyrolysis experiment, and the catalyst pyrolysis was performed by impregnating it in the sand. The basic properties of PP were analyzed using a thermogravimetric analyzer (TGA), and liquid oil was generated through catalytic pyrolysis under a nitrogen atmosphere at 600℃. The carbon number distribution of the generated liquid oil was confirmed by GC/MS analysis. In this study, the effects of the presence and the amount of Mn loading on the yield of liquid oil and the distribution of hydrocarbons in the oil were investigated. When Mn/sand was used, the residue decreased and the oil yield increased compared to pyrolysis using sand alone. In addition, as the Mn loading increased, the ratio of C₆~C₉ range gasoline in the liquid oil gradually increased, and the distribution of diesel and heavy oil with more carbon atoms than C₁₀ in the oil decreased. In conclusion, it was found that using Mn as a catalyst and changing the amount of Mn could increase the yield of liquid oil and increase the gasoline ratio in the product.

• 한국태양에너지학회:학술대회논문집
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• 2009.11a
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• pp.279-284
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• 2009

Traditionally, so-called "industrial waste gases", such ad exhaust from boilers at industrial installations and a large quantity of soot discharged from power station, before their release into the atmosphere, have been on occasion subjected to an air cleaning process to remove fine particles that may pollute the atmosphere (such as mist and dust containing various powdery or oily substances and moisture from industrial waste gases). The release of industrial waste gases containing these particles directly into the atmosphere poses a serious threat to the earth environment; and recovery of these noxious substances is required by law in some countries and local governments. in urban areas, air pollution from automobile exhaust and others creates a serious condition. Some homes are equipped with and use indoor air purifiers. In many of the kitchens of restaurants, smoke generated during cooking and otherwise contaminated air are cleansed by air purifiers before being released outside or recycled inside. For the dust collecting devices to recover the fine particles contained in contaminated air, the cause for air pollution and how to purify air, many types based on various principles are known. Specifically, classified based on theories of particle collection, filtration, gravity, inertia, centrifugation, electricity, and cleaning types are cited as available processes. Among them, an appropriate type is selected according to the size or type of fine particles to be collected and conditions for installation. For the efficiency of dust collection, a filtration system (by using bag filters and others) and electric system are particularly outstanding and are therefore used widely in various areas of industry. In this research, rotary type high performance oil mist and smoke collecting system with self auto cleaning device equipped with the cleaning fluid spraying section is investigated.

• Journal of the Korea Convergence Society
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• v.12 no.2
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• pp.21-28
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• 2021

In this study, we propose a deep learning-based NILM technique using actual measured power data for 5 kinds of home appliances and verify its effectiveness. For about 3 weeks, the active power of the central power measuring device and five kinds of home appliances (refrigerator, induction, TV, washing machine, air cleaner) was individually measured. The preprocessing method of the measured data was introduced, and characteristics of each household appliance were analyzed through spectogram analysis. The characteristics of each household appliance are organized into a learning data set. All the power data measured by the central power measuring device and 5 kinds of home appliances were time-series mapping, and training was performed using a LSTM neural network, which is excellent for time series data prediction. An algorithm that can disaggregate five types of energies using only the power data of the main central power measuring device is proposed.