• NEWSLETTER 전기공업
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• no.97-14 s.183
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• pp.42-56
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• 1997

• NEWSLETTER 전기공업
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• no.98-1 s.194
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• pp.46-57
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• 1998

• NEWSLETTER 전기공업
• /
• no.97-9 s.178
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• pp.39-50
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• 1997

• NEWSLETTER 전기공업
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• no.97-15 s.184
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• pp.31-45
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• 1997

• Electric Engineers Magazine
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• s.153
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• pp.39-41
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• 1995

• Transactions of the Korean Society of Pressure Vessels and Piping
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• v.17 no.2
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• pp.101-108
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• 2021

To date, a number of stress intensity factor (SIF) solutions have been proposed for the cylindrical structure with circumferential through-wall cracks. However, each solution has a different format as well as applicable range. It is also known that there is a significant difference in predicted SIF values depending on the shape of the structure and the size of the crack. In this study, the applicability of various SIF solutions was analyzed by comparing the finite element analysis results for the case where a tensile load is applied to the cylindrical structure with circumferential through-wall crack. It is found that the calculated SIF gradually decreases and converges to a certain value with increasing length-to-radius ratio. Therefore, an appropriate length-to-radius ratio should be set in consideration of the dimensions of the actual cylindrical structure. For piping with sufficiently long cylinder, the ASME solution is found to be the most appropriate, and for a short cylinder, the API solution should be applied. On the other hand, the WEC solution requires careful attention to its application.

• Proceedings of the KAIS Fall Conference
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• 2003.06a
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• pp.189-192
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• 2003

최근 석유공급의 불안정과 에너지 소비의 급격한 증가로 인하여, 국가적인 차원에서의 에너지 절약사업이 주요 시책으로 추진 중에 있으며, 전력사업에서도 에너지 절감이라는 차원뿐만 아니라 경영에 직결되는 중요한 과제로 전력손실에 대한 관심이 높아져가고 있다. 특히, 전력시장 자유화라는 흐름 속에서 전력손실 문제는 전기요금의 산정에 있어서 합리적인 근거를 제시한다는 점에서 중요한 관심 사항이 되고 있다. 본 논문에서는 올바른 배전손실 계수를 적용하여 배전사업자가 배전망을 효과적으로 운용하여 손실을 최소화할 수 있도록 유도하며, 전력공급 전반의 효율성을 향상시킬 수 있도록 손실관리 가이드라인을 제시하고자 한다.

• Proceedings of the Korean Society of Computer Information Conference
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• 2011.01a
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• pp.283-284
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• 2011

본 논문은 효율적 전력 활용을 위한 유무선 센서기술을 활용한 홈 스마트 그리드를 제안한다. 특히, 에너지의 효율적 활용과 절약을 유도하기 위한 스마트 그리드 기술은 현재 전력의 공급처와 사용자 간의 전력 수급과 관련된 효율적 정보의 수집에 초점이 맞춰져 있으나, 전력의 주요 사용자인 일반가정에서의 계획성 있는 전력 사용을 유도하기 위해서는 이와 관련된 파급기술의 개발이 요구된다. 따라서 논문은 공급처와 사용자 사이의 스마트 그리드가 아닌 가정에서 전력의 사용처를 쉽게 파악하여, 에너지 활용을 계획 및 통제하고, 나아가 에너지의 절약을 유도하기 위한 EMS(Energy Management System)에 대해 기술한다.

• Corrosion Science and Technology
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• v.17 no.6
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• pp.317-323
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• 2018

Assumptions have always been that wall thinning on the secondary side piping in nuclear power plants is mostly caused by Flow-Accelerated Corrosion (FAC). Recent studies have showed that wall thinning on the secondary side piping is caused by Liquid Droplet Impingement Erosion (LDIE), Solid Particle Erosion (SPE), cavitation, and flashing. To manage those aging mechanisms, several software such as CHECWORKS, COMSY, and BRT-CICERO have been used in nuclear power plants. Korean nuclear power plants have been using the CHECWORKS program since 1996 to date. However, many site engineers have experienced a lot of inconveniences and problems in using the CHECWORKS program. In order to work through the inconveniences and to remedy problems, KEPCO-E&C has developed a "3D-based pipe wall thinning management program (ToSPACE)" based on the experience of over 30 years in relation to the pipe wall thinning management. This study compares the results of FAC and LDIE analysis using both the CHECWORKS and ToSPACE programs with respect to validation of the wall thinning analysis results.

• Journal of Wind Energy
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• v.15 no.1
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• pp.69-81
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• 2024

In order to understand water depth distribution in the waters of the southwestern sea offshore wind power demonstration complex, field observations were conducted using a multi-beam echosounder from before construction (2018.2) to operation (2022.8). After data processing and correction of the observed depth, cross-sectional analysis was performed to calculate the maximum water depth value, and time phase analysis was performed using the maximum water depth value. The maximum water depth change rate over time tended to gradually decrease, and there was little difference in the rate of change before the construction of the wind turbine foundation structure, and the rate of change was rapid when the foundation structure was under construction. As a result of time phase analysis, the rate of change of the first (2018.02) and the second (2018.05) showed a rate between -6.27 and -4.13, on average, as the rate of change before the construction of the offshore wind farm, and there was no difference between the first and second rates. The third (2018.11) rate of change was -4.25 to -1.82, and the fourth (2019.04) rate of change was -2.34 to -1.22, and the rate of change increased rapidly after the third time. The fifth (2019.07) rate of change was -2.11 to -1.31, the sixth (2021.05) rate of change was -2.09 to -1.28, and the seventh (2022.08) was -2.11 to -1.22 rate of change, and after the rate of change reached some extent, the change was analyzed in an insufficient graph.