• Title/Summary/Keyword: Sub-Modeling

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Recent trends of supercritical CO2 Brayton cycle: Bibliometric analysis and research review

  • Yu, Aofang;Su, Wen;Lin, Xinxing;Zhou, Naijun
    • Nuclear Engineering and Technology
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    • v.53 no.3
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    • pp.699-714
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    • 2021
  • Supercritical CO2 (S-CO2) Brayton cycle has been applied to various heat sources in recent decades, owing to the characteristics of compact structure and high efficiency. Understanding the research development in this emerging research field is crucial for future study. Thus, a bibliometric approach is employed to analyze the scientific publications of S-CO2 cycle field from 2000 to 2019. In Scopus database, there were totally 724 publications from 1378 authors and 543 institutes, which were distributed over 55 countries. Based on the software-BibExcel, these publications were analyzed from various aspects, such as major research areas, affiliations and keyword occurrence frequency. Furthermore, parameters such as citations, hot articles were also employed to evaluate the research output of productive countries, institutes and authors. The analysis showed that each paper has been cited 13.39 times averagely. United States was identified as the leading country in S-CO2 research followed by China and South Korea. Based on the contents of publications, existing researches on S-CO2 are briefly reviewed from the five aspects, namely application, cycle configurations and modeling, CO2-based mixtures, system components, and experiments. Future development is suggested to accelerate the commercialization of S-CO2 power system.

A Study on Prediction of PM2.5 Concentration Using DNN (Deep Neural Network를 활용한 초미세먼지 농도 예측에 관한 연구)

  • Choi, Inho;Lee, Wonyoung;Eun, Beomjin;Heo, Jeongsook;Chang, Kwang-Hyeon;Oh, Jongmin
    • Journal of Environmental Impact Assessment
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    • v.31 no.2
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    • pp.83-94
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    • 2022
  • In this study, DNN-based models were learned using air quality determination data for 2017, 2019, and 2020 provided by the National Measurement Network (Air Korea), and this models evaluated using data from 2016 and 2018. Based on Pearson correlation coefficient 0.2, four items (SO2, CO, NO2, PM10) were initially modeled as independent variables. In order to improve the accuracy of prediction, monthly independent modeling was carried out. The error was calculated by RMSE (Root Mean Square Error) method, and the initial model of RMSE was 5.78, which was about 46% betterthan the national moving average modelresult (10.77). In addition, the performance improvement of the independent monthly model was observed in months other than November compared to the initial model. Therefore, this study confirms that DNN modeling was effective in predicting PM2.5 concentrations based on air pollutants concentrations, and that the learning performance of the model could be improved by selecting additional independent variables.

Analysis of Intensity Attenuation Characteristics Using Physics-based Earthquake Ground-motion Simulation with Site Effect in the Southern Korean Peninsula (한반도 남부에서 부지효과를 고려한 물리적 지진동 모델링 기반 진도 감쇠 특성 분석 연구)

  • An, So Hyeon;Kyung, Jai Bok;Song, Seok Goo;Cho, Hyung-Ik
    • Journal of the Korean earth science society
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    • v.41 no.3
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    • pp.238-247
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    • 2020
  • This study simulated strong ground motion waveforms in the southern Korean Peninsula, based on the physical earthquake modeling of the Southern California Earthquake Center (SCEC) BroadBand Platform (BBP). Characteristics of intensity attenuation were investigated for M 6.0-7.0 events, incorporating the site effects. The SCEC BBP is software generates broadband (0-10 Hz) ground-motion waveforms for earthquake scenarios. Among five available modeling methods in the v16.5 platform, we used the Song Model. Approximately 50 earthquake scenarios each were simulated for M 6.0, 6.5, and 7.0 events. Representative metrics such as peak ground acceleration (PGA) and peak ground velocity (PGV) were obtained from the synthetic waveforms that were simulated before and after the consideration of site effects (VS30). They were then empirically converted to distribution of instrumental intensity. The intensity that considers the site effects is amplified at low rather than high VS30 zones.

Quantitative Analysis of SO2 and NO2 Adsorption and Desorption on Quartz Crystal Microbalance Coated with Cobalt Gallate Metal-Organic Framework

  • Junhyuck Ahn;Taewook Kim;Sunghwan Park;Young-Sei Lee;Changyong Yim
    • Journal of Sensor Science and Technology
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    • v.32 no.3
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    • pp.147-153
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    • 2023
  • Metal-organic frameworks (MOFs) of cobalt gallate were synthesized and deposited on gold electrodes using self-assembly monolayers (SAMs) and hydrothermal processing. These MOF films exhibit strong adsorption capabilities for gaseous particulates, and the use of SAMs allows the synthesis and deposition processes to be completed in a single step. When cobalt gallate is mixed with SAMs, a coordination bond is formed between the cobalt ion and the carboxylate or hydroxyl groups of the SAMs, particularly under hydrothermal conditions. Additionally, the quartz crystal microbalance (QCM) gas sensor accurately measures the number of particulates adsorbed on the MOF films in real-time. Thus, the QCM gas sensor is a valuable tool for quantitatively measuring gases, such as SO2, NO2, and CO2. Furthermore, the QCM MOF film gas sensor was more effective for gas adsorption than the MOF particles alone and allowed the accurate modeling of gas adsorption. Moreover, the QCM MOF films accurately detect the adsorption-desorption mechanisms of SO2 and NO2, which exist as gaseous particulate matter, at specific gas concentrations.

Verification of Underground Distribution Line Modeling with Field Test (실증시험을 통한 지중배전선로 모델링 기법 검증 연구)

  • Yun, Chang-Sub;Lee, Jae-Bong;Kim, Byong-Suk;Lee, Jong-Beom
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.56 no.12
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    • pp.2091-2097
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    • 2007
  • This paper described the verification of modeling technique of underground distribution from comparison between field test and simulation. It needs more exact transient phenomenon analysis model to establish lightning protection of underground distribution line. Although, there were a lot of transient phenomenon researches, nobody could has verified the confidence of modeling from field tests in interior until now. So, simulation model verified field test is needed to analyse transient phenomenon of underground distribution system. The examination must be accomplished in many different condition before suggesting these verified analysis model. In this paper, the conditions were examined and the various data results on the different line composition was compared with the EMTP simulation, when the lightning impulse test was accomplished at underground distribution line. Also the value between field test and simulation was very closed and the method of modeling has demonstrated confidence, when the method is used to analyse domestic transient phenomenon of underground distribution.

A Study on the Development of Reliability Modeling in Machine Parts (기계류 부품 신뢰성 모델링에 관한 연구)

  • 하성도;이두영
    • Proceedings of the Korean Reliability Society Conference
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    • 2000.04a
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    • pp.223-230
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    • 2000
  • This work aims to develop modeling methodology of machine part reliability. The reliability model is to be used for predicting and improving reliability in planning and design processes of products. In order to develop the reliability model of machine parts, the functions and interactions of sub-units of machine parts are analyzed first and function network is constructed. Using the function network, function block diagram is developed, which can be the basis for deriving reliability block diagram. Modeling of machine part reliability has not been widely studied since the reliability modeling of machine parts requires understanding of the functions and failures of their components in several viewpoints. This work tries to find general methodology of reliability modeling and proposes a framework for reliability improvement during machine part development.

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Pillared clays from natural resources as catalysts for catalytic wet peroxide oxidation: Characterization and kinetic insights

  • Kalmakhanova, Marzhan Seitovna;Diaz de Tuesta, Jose Luis;Kabykenovna, Bakytgul;Gomes, Helder Teixeira
    • Environmental Engineering Research
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    • v.25 no.2
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    • pp.186-196
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    • 2020
  • Pillared clays with Zr and Fe/Cu/Zr polycations have been prepared from natural clays found in large deposits of Kazakhstan and assessed as catalysts for the catalytic wet peroxide oxidation (CWPO), using 4-nitrophenol (4-NP) as model compound. The performance of the catalysts was followed by measuring the concentration of 4-NP, H2O2 and the total organic carbon (TOC), considering C4-NP = 5 g L-1, $C_{H_2O_2}$ = 17.8 g L-1, Ccat = 2.5 g L-1, initial pH = 3.0 and T = 50℃. At those selected conditions, the pillared clays showed higher activity than natural clays in the CWPO of 4-NP. The conversion of the model pollutant was complete when Fe/Cu/Zr-PILCs were used, with the TOC removal reaching 78.4% after 24 h with the best Fe/Cu/Zr-PILC. The H2O2, 4-NP and TOC time-evolution was well described by a kinetic model based on TOC lumps in three blocks, considering the initial TOC (corresponding to 4-NP), the production of oxidizable intermediates and the formation of refractory products.

Kinetic modeling of organic and nitrogen removal from domestic wastewater in a down-flow hanging sponge bioreactor

  • Nga, Dinh Thi;Hiep, Nguyen Trung;Hung, Nguyen Tri Quang
    • Environmental Engineering Research
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    • v.25 no.2
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    • pp.243-250
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    • 2020
  • A down-flow hanging sponge (DHS) bioreactor was operated for the treatment of domestic wastewater. The Stover-Kincannon model was applied for kinetic evaluation of the reactor performance during the operational period. As a result, the coefficient of determination (R2) for straight lines of effluent concentration from the experimental data and from the predictive data of BOD5; NH4+-N; and TN were 0.9727; 0.9883; and 0.9934, respectively. The calculation of saturation value constant (Umax - g L-1 d-1) and maximum utilization rate constant (KB - g L-1 d-1) were 56.818 and 75.034 for BOD5; 2.960 and 4.713 for NH4+-N; 2.810 and 8.37 for TN, respectively. The study suggests that Stover-Kincannon model can be used for effective evaluation of kinetic removal of BOD5; NH4+-N; and TN from domestic wastewater treated in a DHS bioreactor.

Cycle Analysis of Air-Cooled Double-Effect Absorption Cooling System Using H2O/LiBr+HO(CH2)3OH (H2O/LiBr+HO(CH2)3OH계 공냉형 이중효용 흡수식 냉방시스템의 사이클 해석)

  • Kwon, Oh-Kyung;Moon, Choon-Geun;Yoon, Jung-In
    • Transactions of the Korean Society of Mechanical Engineers B
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    • v.23 no.2
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    • pp.272-280
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    • 1999
  • A cycle analysis was achieved to predict the characteristics by comprehensive modeling and simulation of an air-cooled, double-effect absorption system using a new $H_2O/LiBr+HO(CH_2)_3OH$ solution. The simulation results showed that the new working fluid may provide the crystallization limit 8% higher than the conventional $H_2O/LiBr$ solution. With a crystallization margin of 3wt%(weight%), the optimal solution distribution ratio was found in the range of 36 to 40%. Variation of cooling air Inlet temperature has a sensitive effect on the cooling COP and corrosion problem. The simulation of heat exchangers with UA value revealed that the absorber and the evaporator are relatively important for an air-cooled system compared with the condenser and the low temperature generator. The effect of cooling air flow rate, circulation weak solution flow rate and chilled water inlet temperature were also examined. The new working fluid may provide the COP approximately 5% higher than the conventional $H_2O/LiBr$ solution.

Systematic Approach of Internal Parameters for Equivalent Electrical-Circuit Modeling(EECM) of a Li4Ti5O12(LTO) cell (Li4Ti5O12(LTO) 배터리 등가회로 모델링을 위한 내부 파라미터 체계적 해석)

  • Lee, Pyeong-Yeon;Yoon, Chang-O;Park, Jin-Hyeong;Kim, Jonghoon
    • The Transactions of the Korean Institute of Power Electronics
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    • v.23 no.3
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    • pp.174-181
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    • 2018
  • This study introduces a systematic approach to selecting the internal parameters applied to the equivalent electrical-circuit model (EECM) of a lithium titanium oxide ($Li_4Ti_5O_{12}$; LTO) rechargeable cell. Based on the dynamic characteristic of the cell, a simplified EECM consisting of an open-circuit voltage (OCV), an ohmic resistance, and an RC ladder is fabricated. To select the internal parameters of a simplified EECM, experiments on discharge capacity, OCV, and discharge/charge resistances are performed using hybrid pulse power characterization and direct current internal resistance (DCIR) measurements over the full state-of-charge (SOC) range. The experimental results of the LTO rechargeable cell highlight the importance of correct selection of internal parameters that can reduce EECM errors. This study clearly provides experimental procedures, internal parameters results, and EECM guidelines for adaptive control-based SOC estimation for LTO rechargeable cells.