• Title/Summary/Keyword: gas using environment

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Ammonia Wastewater Treatment and Selective Recovery Using a Sweep Gas-Vacuum Hybrid Type Membrane Degassing Process (스윕 가스-진공 하이브리드식 탈기막 공정을 활용한 암모니아 폐수처리 및 선택적 회수)

  • Hongsik Yoon;Taijin Min;Minkyu Jeon;Sungil Lim;Sechul Oh;Kyungha Ryu;Chungsung Lee;Bosik Kang
    • Journal of the Korean Society of Industry Convergence
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    • v.26 no.6_2
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    • pp.1171-1181
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    • 2023
  • In this study, a sweep gas - vacuum hybrid type membrane degassing process was proposed for ammonia wastewater treatment. In addition, the ammonia selective recovery of the hybrid type membrane degassing process was also investigated. As a result, the hybrid type membrane degassing process showed better degassing performance (54.9 mg NH3/m2min for 360 min) than the sweep gas type (32.3 mg NH3/m2min) or vacuum type (22 mg NH3/m2min). Additionally, the hybrid type membrane degassing process showed an excellent ammonia selectivity (103 times compared to Na+ Na+, 133 times compared to Ca2+). The ammonia selectivity was appeared to be due to the conversion characteristics of ammonium ion / dissolved ammonia depending on pH. The results in this study are expected to be used in the development of ammonia wastewater treatment and ammonia recovery in the future.

Measurement of Transient Electric Field Emission from a 245 kV Gas Insulated Substation Model during Switching

  • Rao, M. Mohana;Thomas, M. Joy;Singh, B.P.
    • Journal of Electrical Engineering and Technology
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    • v.2 no.3
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    • pp.306-311
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    • 2007
  • The transient fields generated during switching operations in a Gas Insulated Substation (GIS) are associated with high frequency components in the order of few tens of MHz. These transient fields leak into the external environment of the gas-insulated equipment and can interfere with the nearby electronics. Measurements of the transient fields are thus required to characterise the interference caused by switching phenomena in such substations. In view of the above, E-field emission measurement during a switching operation has been carried out for a 245 kV GIS model, using a resonant dipole antenna and D-dot sensor. The characteristics of the E-fields i.e., frequency spectra and their levels have been analysed and are reported in the paper. Suitability of the measurements has been confirmed by comparing frequency spectra of the measured and computed transient fields.

A Study on the Safety Management of the Electrostatic in Working Clothes at the Gas Station (가스충전소에서 작업복의 정전기 안전관리에 관한 연구)

  • Lee, Geum-Hwan;Chung, Jae-Hee
    • Journal of the Korean Society of Safety
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    • v.24 no.6
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    • pp.39-44
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    • 2009
  • In order to prevent fire and explosion due to the electrostatic discharge at the Gas Station etc. This result will be applied to standard in the future. Wearing the non-electrostatic removing wear, Charged voltage of human body is 3,980V(MIE is approximately 0.79mJ). There is a possibility of fire explosion because the MIE of LP gas is 0.25mJ. In accordance with using period(whasing times), Charged voltage is shown that propensity is increased. Electrostatic charge amount is upper standard($0.6{\mu}$C) of the hazard of electrostatic removing wear. There is a possibility of fire and explosion. Therefore, countermeasure and management are needed about gas station worker.

Decomposition of Volatile Organic Compounds Using Regenerated Metal Oxide Catalysts (폐 산업용 금속산화물계 촉매를 이용한 휘발성유기화합물의 제거)

  • Nam Seung-Won;Shim Wang-Geun;Kim Sang-Chai
    • Journal of Korean Society for Atmospheric Environment
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    • v.22 no.4
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    • pp.431-439
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    • 2006
  • Catalytic oxidation of benzene, toluene and xylene (BTX) using regenerated metal oxide catalysts (ZnO-CuO, NiO, $Fe_2O_3$, ZnO, CrO) were investigated in a fixed bed flow reactor to evaluate their feasibility for the purpose of removing volatile organic compounds (VOCs). Four kinds of pre-treatment methods such as gas (air and hydrogen), acid aqueous solution, alkali aqueous solution and cleaning agent were used to find out the optimal regeneration conditions. The physico-chemical properties of the used and regenerated catalysts were characterized by BET and TPR (Temperature Programmed Reduction). The used catalysts showed high conversion ratio and the catalytic ability of toluene oxidation was in the order of ZnO-CuO>$Fe_2O_3$>NiO>ZnO>CrO. We found that the acid aqueous pre-treatment (0.1 N HNO$_3$) was the best way to enhance the catalytic activity of $Fe_2O_3$. In addition, air and hydrogen gas treatment were optimal for NiO and ZnO-CuO catalysts, respectively. Furthermore, the decomposition of BTX depends on the type of a catalyst and a gas molecule.

Hydrogen Gas Production from Methane Reforming Using Oxygen Enriched Compression Ignition Engine (산소부화 압축착화기관을 이용한 메탄으로부터 수소 생산)

  • Lim, Mun-Sup;Hong, Sung-In;Hong, Myung-Seok;Chun, Young-Nam
    • Journal of Korean Society for Atmospheric Environment
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    • v.23 no.5
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    • pp.557-562
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    • 2007
  • The purpose of this paper is to investigate the reforming characteristics and maximum operating condition for the hydrogen production by methane reforming using the compression ignition engine induced partial oxidation. An dedicated compression engine used for methane reforming was decided operating range. The partial oxidation reforming was investigated with oxygen enrichment which can improve hydrogen production, compared to general reforming. Parametric screening studies were achieved as $O_2/CH_4$ ratio, total flow rate, and intake temperature. When the variations of $O_2/CH_4$ ratio, total flow rate, and intake temperature were 1.24, 208.4 L/min, and $400^{\circ}C$, respectively, the maximum operating conditions were produced hydrogen and carbon monoxide. Under the condition mentioned above, synthetic gas were $H_2\;22.77{\sim}29.22%,\;CO\;21.11{\sim}23.59%$.

Analysis of computational fluid dynamics on design of nozzle for integrated cryogenic gas and MQL(minimum quantity lubrication) (극저온 가스와 MQL(minimum quantity lubrication)의 복합 분사를 위한 하이브리드 노즐 설계에 관한 전산유체역학 해석)

  • Song, Ki-Hyeok;Shin, Bong-Cheol;Yoon, Gil-Sang;Ha, Seok-Jae
    • Design & Manufacturing
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    • v.13 no.3
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    • pp.41-47
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    • 2019
  • In conventional machining, the use of cutting fluid is essential to reduce cutting heat and to improve machining quality. However, to increase the performance of cutting fluids, various chemical components have been added. However, these chemical components during machining have a negative impact on the health of workers and cutting environment. In current machining, environment-friendly machining is conducted using MQL (minimum quantity lubrication) or cryogenic air spraying to minimize the harmful effects. In this study, the injection nozzle that can combined injecting minimum quantity lubrication(MQL) and cryogenic gas was designed and the shape optimization was performed by using computational fluid dynamics(CFD) and design of experiment(DOE). Performance verification was performed for the designed nozzle. The diameter of the sprayed fluid at a distance of 30 mm from the nozzle was analyzed to be 21 mm. It was also analyzed to lower the aerosol temperature to about 260~270K.

Safety Assessment on Dispersion of BOG in LNG Fueling Station (LNG 자동차 충전소에서 BOG 확산에 따른 안전성평가 연구)

  • Lee, Seung Hyun;Kang, Seung Kyu;Lee, Young Soon
    • Journal of the Korean Society of Safety
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    • v.27 no.4
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    • pp.76-82
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    • 2012
  • A diesel-Liquefied natural gas(LNG) combustion engine truck fleet demonstration project had been carried out and commercial expansion project was launched. The key issues of these projects are the safety of LNG fuel station and the reduction of natural gas relief. When LNG is fueled to LNG vehicles the heat is input in the LNG system. The LNG in the fueling system was boiled and the vapor of LNG is vented through the safety devices. The temperature of the vapor of LNG is $-108^{\circ}C$ and density is heavier than air. It can be dispersed to downside of the fuel station. The safety evaluation is carried out using CFD program and risk assessment program for the vapor of LNG in the LNG vehicle fuel station. The hazards are identified and suggested the operation instruction to reduce the relief of LNG vapor.

Effects of SO2 Mixture in Inlet Air on Combustion and Exhaust Emission Characteristic in diesel engine (디젤엔진에 있어서 흡기 중에 SO2혼입이 연소 및 배기배출물 특성에 미치는 영향)

  • Yoo, Dong-Hoon
    • Journal of Power System Engineering
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    • v.19 no.2
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    • pp.64-69
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    • 2015
  • Marine diesel engines with high thermal efficiency and fuel diversity used for propulsive power have been taking charge of important position on marine transport. However, marine environment has recently focused on emissions such as nitrogen oxide and sulfur oxide which is generated from combustion of low grade fuels. EGR(Exhaust gas recirculation) system is one of effective methods to reduce the nitrogen oxide emission from marine diesel engines. In general, it is considered that recirculating gas influences fuel combustion and emissions in diesel engines. However, along with positive effects of EGR, the EGR system using fuels of including high sulfur concentration should be considered about re-combustion and activation of sulfur dioxide in recirculating gas. Therefore, in experimental study, an author investigates effects of sulfur dioxide mixture concentration in intake air on combustion and exhaust emission characteristics in a direct injection diesel engine. In results, change of sulfur dioxide concentrations in intake air had negligible impact on combustion chamber pressure, rate of heat release and emissions compared with effects of oxygen decreasing and carbon dioxide increasing of EGR.

A Study of Odorants and Volatiles Released from Pork Belly Meat When Treated by Different Cooking Methods (삼겹살 구이로부터 발생하는 유해물질의 특성 연구)

  • Kim, Bo-Won;Kim, Ki-Hyun;Kim, Yong-Hyun;Ahn, Jeong-Hyeon
    • Journal of Korean Society for Atmospheric Environment
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    • v.30 no.3
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    • pp.211-222
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    • 2014
  • Pork belly meat is one of the most preferred food items for many Korean people. The odorants released from cooking of pork belly meat were measured by three kinds of cooking methods (Charcoal-grill (C), Electric Pan (E), and Gas burner-pan (G)). A total of 16 target compounds including carbonyl compounds, volatile organic compounds, and poly aromatic hydrocarbon were selected and analyzed for comparative purposes. Their emission concentrations were quantified using HPLC-UV, GC-MS, GC-TOF-MS, etc. The gas samples collected by Charcoal-grill cooking showed generally enhanced concentrations of most target compounds among all three kinds of cooking methods. In Charcoal-grill, concentration of benzene, formaldehyde and pyrene went up to 543, 516, and 402 ppb, respectively. It the results are compared in terms of the sum of odor intensity, the highest value (4.25) was also seen from Charcoal-grill. The results of this study confirm that the significantly reduced emission of harmful pollutants can be attained, it pork belly meat is cooked by the Gas or electric pan instead of Charcoal-grill.

Development of a Deep Learning Prediction Model to Recognize Dangerous Situations in a Gas-use Environment (가스 사용 환경에서의 위험 상황 인지를 위한 딥러닝 예측모델 개발)

  • Kang, Byung Jun;Cho, Hyun-Chan
    • Journal of the Semiconductor & Display Technology
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    • v.21 no.1
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    • pp.132-135
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    • 2022
  • Recently, with the development of IoT communication technology, products and services that detect and inform the surrounding environment under the name of smart plugs are being developed. In particular, in order to prepare for fire or gas leakage accidents, products that automatically close and warn when abnormal symptoms occur are used. Most of them use methods of collecting, analyzing, and processing information through networks. However, there is a disadvantage that it cannot be used when the network is temporarily in a failed state. In this paper, sensor information was analyzed using deep learning, and a model that can predict abnormal symptoms was learned in advance and applied to MCU. The performance of each model was evaluated by developing firmware that can judge and process on its own regardless of network and applying a predictive model to the MCU after 3 to 120 seconds.