• Title/Summary/Keyword: LSMC

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Interface Reaction Between LSMC and YSZ and Impedance Properties (LSMC와 YSZ의 계면반응 및 임피던스 특성)

  • 김재동;김구대;문지웅;김창은;이해원
    • Journal of the Korean Ceramic Society
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    • v.35 no.9
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    • pp.899-904
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    • 1998
  • Interface reaction between LSMC and YSZ is discussed with chemical composition of LSMC. The reac-tivity between LSMC and YSZ increased with increasing Co amount and A-site deficient perovskite is very effective on reducing reactivity. The (La0.8Sr0.2)xMn0.8Co0.2O3 (X=0.9-1) composition is not reactive with YSZ in experimental range. The electrode reaction reaction resistance increases due to reaction product.

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Impedance Properties of LSMC-YSZ Composite Cathode (LSMC-YSZ Composite 양극의 임피던스 특성)

  • 김재동;김구대;문지웅;김창은;이동아
    • Journal of the Korean Ceramic Society
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    • v.35 no.9
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    • pp.917-922
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    • 1998
  • The polarization characteristics of the cathodes were discussed which were composed YSZ and ${(La_{0.75 }Sr_{0.25 })}_{0.95}Mn_{0.8 }Co_{0.2}O_3$ The three-phase-boundary length increased with the addition of YSN resulting in the minimum po-larization resistance at 60(LSMC) : 40(YSZ) wt% When LSMC-YSZ compoiste cathodes was sintered at $1200^{\circ}C$ minimum polarization resistance was observed and the capacitace increased with increasing sintering tem-perature.

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Effect of Co Dopant on the (La, Sr)$MnO_3$ Cathode for Solid Oxide Fuel Cell (고체산화물 연료전지용 (La, Sr)$MnO_3$ 양극에 대한 Co 첨가효과)

  • 김재동;김구대;이기태
    • Journal of the Korean Ceramic Society
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    • v.37 no.6
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    • pp.612-616
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    • 2000
  • The effect of Co dopant on the (La, Sr)MnO3 cathode was investigated. La2Zr2O7 and SrZrO3 were formed as the reaction products between YSZ and LSMC. The reactivity of LSMC with YSZ increased with increasing Co content. However, the cathodic polarization resistance decreased with increasing Co doping. Therefore, doping Co at Mn site in the (La, Sr)MnO3 cathode was effective on controlling the polarization resistance of the cathode. The polarization property of LSMC-YSZ composite(60 wt%: 40 wt%) cathode was better than that of LSMC single cathode.

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Electromagnetic topology optimization using large-step markov chain method with novel local optimization algorithm (LSMC를 이용한 전자기 위상 최적화)

  • Koh Yuri;Im Chang-Hwan;Jung Hyun-Kyo
    • Proceedings of the KIEE Conference
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    • summer
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    • pp.944-946
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    • 2004
  • In this paper, a new technique for electromagnetic topology optimization is proposed. The proposed technique is based on the large-step Markov chain (LSMC) method with novel local optimization algorithm. Because the proposed algorithm keeps a good convergence characteristic of LSMC, fast convergence is assured. The proposed LSMC is verified by an application to an inverse reconstruction problem.

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Economic Assessment of a Wind Farm Project Using Least Square Monte-Carlo (LSMC) Simulation (최소자승몬테카를로 시뮬레이션을 이용한 풍력발전설비 투자계획)

  • Kim, Jin-A;Lee, Jong-Uk;Lee, Jae-Hee;Joo, Sung-Kwan
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.60 no.1
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    • pp.32-35
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    • 2011
  • The economic value of a wind farm project is influenced by various risk factors such as wind power output and electricity market price. In particular, there is uncertainty in the economic evaluation of a wind farm project due to uncertain wind power outputs, which are fluctuated by weather factors such as wind speed, and volatile electricity market prices. This paper presents a systematic method to assess the economic value and payback period of a wind farm project using Least Square Monte-Carlo (LSMC) simulation. Numerical example is presented to validate the effectiveness of the proposed economic assessment method for a wind farm project.

Quality Characteristics and Antioxidant Activities of Lotus (Nelumbo nucifera Gaertn.) Sprouts Grown Under Different Conditions

  • Lim, Seo-Hyeon;Kim, So-Hyeon;Park, Jae-Jung;Park, Yong-Sung;Dhungana, Sanjeev Kumar;Kim, Il-Doo;Shin, Dong-Hyun
    • Korean Journal of Plant Resources
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    • v.33 no.6
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    • pp.666-674
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    • 2020
  • Lotus (Nelumbo nucifera Gaertn.) is an economically important aquatic ornamental herb with multiple uses, including food, tea, natural pigments, and/or healthcare product. The objective of this study was to evaluate the physicochemical properties and antioxidant potential of lotus sprouts grown in three media: sprouting machine (LSSG), soil (LSSC), and mud (LSMC). The longest sprout was obtained in LSMC (4.79 and 26.79 cm) followed by LSSC (1.95 and 5.4 cm), and LSSG (0.60 and 2.85 cm) at 5 and 10 days, respectively. Higher amounts of total free amino acids were found in cotyledons (33.96, 21.45, and 38.90 mg/g) than in hypocotyls (15.77, 7.90, and 15.29 mg/g ) for LSSG, LSSC, and LSMC, respectively. The ratios of total essential to total non-essential amino acids were higher in hypocotyls (0.36, 0.31, and 0.46) than in cotyledons (0.34, 0.25, and 0.40), respectively. Similarly, the total polyphenol content of the hypocotyl of LSMC (50.33 ㎍ GAE/g) was the highest and that of the husk of LSSG (24.08 ㎍ GAE/g) was the lowest. Overall, the antioxidant potential of hypocotyl was higher than that of husk and cotyledon. The results indicated that the lotus sprouts grown in mud could be a good source of nutritional and natural antioxidants.

Optimal Coordination of Charging and Frequency Regulation for an Electric Vehicle Aggregator Using Least Square Monte-Carlo (LSMC) with Modeling of Electricity Price Uncertainty

  • Lee, Jong-Uk;Wi, Young-Min;Kim, Youngwook;Joo, Sung-Kwan
    • Journal of Electrical Engineering and Technology
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    • v.8 no.6
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    • pp.1269-1275
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    • 2013
  • Recently, many studies have suggested that an electric vehicle (EV) is one of the means for increasing the reliability of power systems in new energy environments. EVs can make a contribution to improving reliability by providing frequency regulation in power systems in which the Vehicle-to-Grid (V2G) technology has been implemented and, if economically viable, can be helpful in increasing power system reliability. This paper presents a stochastic method for optimal coordination of charging and frequency regulation decisions for an EV aggregator using the Least Square Monte-Carlo (LSMC) with modeling of electricity price uncertainty. The LSMC can be used to assess the value of options based on electricity price uncertainty in order to simultaneously optimize the scheduling of EV charging and regulation service for the EV aggregator. The results of a numerical example show that the proposed method can significantly improve the expected profits of an EV aggregator.