• Title/Summary/Keyword: Power clean

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Numerical Study on Spontaneous Combustion in Coal Stockpile (저탄장에서의 석탄 자연발화에 관한 수치 해석적 연구)

  • HONG, JINPYO;KIM, JAEKWAN;CHI, JUNHWA;PARK, SUKWOON;SEO, DONGGYUN;LEE, JINHYANG
    • Transactions of the Korean hydrogen and new energy society
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    • v.28 no.6
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    • pp.721-728
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    • 2017
  • In this work, an one-dimensional analysis on spontaneous combustion in a coal stockpile was conducted using a commercial software $gPROMS^{(R)}$ based on assumption suggested by Arioy and Akgun. According to them, it is assumed that there is temperature difference between the surface of coal particle and the gas surrounded around the particle, and it is also assumed that the velocity of the gas is constant and thus oxygen is fed to the stockpile with same velocity. The higher temperature zone is formed to the surface of the coal stockpile at the initial phase and it became deepen as time is taken. Finally it was found that the temperature difference between coal particle and the gas was calculated as $57^{\circ}C$ and spontaneous combustion have not been occurred during 6 months since coal was piled in the stock.

Reduce on the Cost of Photovoltaic Power Generation for Polycrystalline Silicon Solar Cells by Double Printing of Ag/Cu Front Contact Layer

  • Peng, Zhuoyin;Liu, Zhou;Chen, Jianlin;Liao, Lida;Chen, Jian;Li, Cong;Li, Wei
    • Electronic Materials Letters
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    • v.14 no.6
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    • pp.718-724
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    • 2018
  • With the development of photovoltaic industry, the cost of photovoltaic power generation has become the significant issue. And the metallization process has decided the cost of original materials and photovoltaic efficiency of the solar cells. Nowadays, double printing process has been introduced instead of one-step printing process for front contact of polycrystalline silicon solar cells, which can effectively improve the photovoltaic conversion efficiency of silicon solar cells. Here, the relative cheap Cu paste has replaced the expensive Ag paste to form Ag/Cu composite front contact of silicon solar cells. The photovoltaic performance and the cost of photovoltaic power generation have been investigated. With the optimization on structure and height of Cu finger layer for Ag/Cu composite double-printed front contact, the silicon solar cells have exhibited a photovoltaic conversion efficiency of 18.41%, which has reduced 3.42 cent per Watt for the cost of photovoltaic power generation.

Numerical Study on High Temperature CO-Shift Reactor in IGFC (고온수소 전환 반응기에 관한 수치해석적 연구)

  • SEO, DONG-KYUN;LEE, JIN-HYANG;CHI, JUN-HWA;HONG, JIN-PYO;OH, SUK-IN
    • Transactions of the Korean hydrogen and new energy society
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    • v.29 no.4
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    • pp.324-330
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    • 2018
  • In this study a numerical study was conducted to show flow, temperature and gas distributions in a high temperature CO shift reactor which was designed specially for energy saving and then evaluated with the related experiment. Mole fractions of syngas at the end of the catalyst bed were predicted with various assumed pre-exponential factors, were compared with the corresponding experimental results and $10^8$ was finally selected as the value. With the selection, a base case was examined. It was calculated that the inlet duct attached asymmetrically to the CO shift reactor affects on the distribution of the upward momentum (+z directional). In addition, CO conversion ratio is achieved up to 90% in the catalyst bed and especially it reached up to 70% at the initial part of catalyst bed.

Parametric Study on High Power SOEC System (고출력 SOEC 시스템의 매개변수 연구)

  • BUI, TUANANH;KIM, YOUNG SANG;GIAP, VAN-TIEN;LEE, DONG KEUN;AHN, KOOK YOUNG
    • Transactions of the Korean hydrogen and new energy society
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    • v.32 no.6
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    • pp.470-476
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    • 2021
  • In the near future, with the urgent requirement of environmental protection, hydrogen based energy system is essential. However, at the present time, most of the hydrogen is produced by reforming, which still produces carbon dioxide. This study proposes a high-power electrolytic hydrogen production system based on solid oxide electrolysis cell with no harmful emissions to the environment. Besides that, the parametric study and optimization are also carried to examine the effect of individual parameter and their combination on system efficiency. The result shows that the increase in steam conversion rate and hydrogen molar fraction in incoming stream reduces system efficiency because of the fuel heater power increase. Besides, the higher Faraday efficiency does not always result a higher system efficiency.

The Effect of an 8-weeks Velocity-based Training on Strength and Mechanical Power of Professional Athletes (8주간 속도 기반 트레이닝이 전문 운동선수의 근력과 근 파워 능력에 미치는 영향)

  • Jae Ho Kim;Sukhoon Yoon
    • Korean Journal of Applied Biomechanics
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    • v.34 no.1
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    • pp.9-17
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    • 2024
  • Objective: The purpose of this study is to apply 8-week velocity-based training to domestic professional athletes and the kinematic and kinetic analysis of the 1-RM improvement of back squat and power clean, which can represent strength-power ability, to verify the effectiveness of velocity-based training in Korea and to establish a basic basis. Method: The subjects who participated in this study were 10 professional athletes from K University (age: 21.40 ± 0.97 yrs., height: 179.90 ± 3.54 cm., body mass: 71.298 ± 2.98 kg). All subjects performed back squat and power clean 1-RM before and after 8-weeks of velocity-based training. A 3-dimensional motion analysis with 8 infrared cameras and 4 channels of EMG was performed in this study. A paired t-test was used for statistical verification. The significant level was set at α=.05. Results: Both Back squat and Power Clean 1-RM showed statistically significant increases (p<.05). In the case of back squat, there was no statistically significant difference in both kinematic and kinetic variables (p>.05). In the case of Power Clean, only the quadriceps of Phase 1 showed a statistically significant decrease (p<.05). Conclusion: Domestic professional athletes can improve their strength-power ability through velocity-based training, and such training for at least 8-weeks is considered a way to improve their performance.

Certain Clean Decompositions for Matrices over Local Rings

  • Yosum Kurtulmaz;Handan Kose;Huanyin Chen
    • Kyungpook Mathematical Journal
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    • v.63 no.4
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    • pp.561-569
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    • 2023
  • An element a ∈ R is strongly rad-clean provided that there exists an idempotent e ∈ R such that a - e ∈ U(R), ae = ea and eae ∈ J(eRe). In this article, we completely determine when a 2 × 2 matrix over a commutative local ring is strongly rad clean. An application to matrices over power-series is also given.

Strongly Clean Matrices Over Power Series

  • Chen, Huanyin;Kose, Handan;Kurtulmaz, Yosum
    • Kyungpook Mathematical Journal
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    • v.56 no.2
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    • pp.387-396
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    • 2016
  • An $n{\times}n$ matrix A over a commutative ring is strongly clean provided that it can be written as the sum of an idempotent matrix and an invertible matrix that commute. Let R be an arbitrary commutative ring, and let $A(x){\in}M_n(R[[x]])$. We prove, in this note, that $A(x){\in}M_n(R[[x]])$ is strongly clean if and only if $A(0){\in}M_n(R)$ is strongly clean. Strongly clean matrices over quotient rings of power series are also determined.

Performance Prediction Model of Solid Oxide Fuel Cell Stack Using Deep Neural Network Technique (심층 신경망 기법을 이용한 고체 산화물 연료전지 스택의 성능 예측 모델)

  • LEE, JAEYOON;PINEDA, ISRAEL TORRES;GIAP, VAN-TIEN;LEE, DONGKEUN;KIM, YOUNG SANG;AHN, KOOK YOUNG;LEE, YOUNG DUK
    • Transactions of the Korean hydrogen and new energy society
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    • v.31 no.5
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    • pp.436-443
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    • 2020
  • The performance prediction model of a solid oxide fuel cell stack has been developed using deep neural network technique, one of the machine learning methods. The machine learning has been received much interest in various fields, including energy system mo- deling. Using machine learning technique can save time and cost requried in developing an energy system model being compared to the conventional method, that is a combination of a mathematical modeling and an experimental validation. Results reveal that the mean average percent error, root mean square error, and coefficient of determination (R2) range 1.7515, 0.1342, 0.8597, repectively, in maximum. To improve the predictability of the model, the pre-processing is effective and interpolative machine learning and application is more accurate than the extrapolative cases.

A Study on Methods for Developing by Nurturing Clean Thermal Power Generation Technology (청정화력발전 기술 육성 방안 연구)

  • Kim, Yeong-Mi;Lee, Won-Hak
    • Journal of Climate Change Research
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    • v.9 no.2
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    • pp.197-207
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    • 2018
  • The Korean government views coal-fired power plants as the key cause of the fine dust generation, and is developing an energy policy to replace and demolish old coal-fired power plants. According to the Eighth Power Supply Base Plan (2017-2031), the maximum power capacity in 2030 is expected to be 100.5GW, which is 17.9% higher than the current level (85.2GW). The plan aims to reduce the facility size and power generation ratio from nuclear and coal resources to even lower levels than today, and to rapidly expand power generation from new and renewable energy. Despite that, the proportion of coal power generation is still much higher than other resources, and it is expected that the reliance on goal will maintain for next several decades. Under such circumstances, the development, supply, and expansion of clean coal technology (CCT) that is eco-friendly and highly efficient, is crucial to minimize the emission of pollutants such as carbon dioxide and fine dust, as well as maximize the energy efficiency. The Korean government designated the Yong-Dong Thermoelectric Power Plant in Gangneung to develop clean coal power generation, and executed related projects for three years. The current study aims to suggest a plan to develop parts, technologies, testing, evaluation, certification, and commercialization efforts for coal-fired power generation, In addition, the study proposes a strategy to vitalize local economy and connect the development with creation of more jobs.

Operation Characteristics According to Steam Temperature and Effectivenss of External Steam-Related SOEC System (외부 수증기 연계 SOEC 시스템의 공급 스팀 온도 및 열교환기 유용도에 따른 시스템 BOP 및 운전 특성 분석)

  • KIM, YOUNG SANG;LEE, YOUNG DUK;AHN, KOOK YOUNG;LEE, DONG KEUN;LEE, SANG MIN;CHOI, EUN JUNG
    • Transactions of the Korean hydrogen and new energy society
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    • v.31 no.6
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    • pp.596-604
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    • 2020
  • Solid oxide electrolysis cell (SOEC) attracts much attention because of its high energy efficiency among many water-electrolysis technologies. SOEC operates at temperatures above 700℃, so that the water required for water-electrolysis must be supplied in the form of steam. When the steam to be supplied to the SOEC is generated by the SOEC system itself, an enormous amount of latent heat is required to vaporize the water, so additional energy must be supplied to the SOEC system. On the other hand, if the steam can be supplied from the outside, a small amount of energy is required to raise the temperature of the low temperature steam, so that the SOEC system can be operated without additional energy supply from outside, which enables efficient water-electrolysis. In this study, we figure out the size of heat exchanger for various steam temperature and effectiveness of heat exchanger, and propose the energy efficiency of the system.