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Collagen 단백질을 첨가한 합성피혁의 물성에 관한 연구 : 제1보 Part Ⅰ
백천의 한국의류학회 1997 한국의류학회지 Vol.21 No.6
Synthetic leather added collagen protein was coagulated in DMF solution. With increasing collagen concentration, thickness of synthetic leather increased. In addition, water vapor permeability and water vapor absoption increased with increasing collagen protein concentration. But MIU and SMD value of surface properties decreased with increasing collagen protein concentration. As a result, synthetic leather added collagen protein showed comfort and dry touch.
백천우,변천일,김도현,안태진,Baek,Chun-Woo,Byeon,Chen-Il,Kim,Do-Hyeon,Ahn,Tae-Jin 한국방재학회 2010 한국방재학회논문집 Vol.10 No.2
강변저류지와 같은 소규모 수공구조물에 의한 홍수저감방안의 필요성이 증가하고 있으며, 대상 유역내에 다수의 후보지역이 존재하는 강변저류지 계획에 있어서, 네트워크로 간주된 전체 저류지군의 실질적인 홍수조절효과의 산정이 필수적이다. 본 연구에서는 저류용량, 월류고, 월류폭 등과 같은 강변저류지 제원에 대한 민감도 분석을 통한 강변저류지군의 홍수저감효과 개선기법을 제안하였다. 제안된 기법은 설계빈도 홍수사상에 대하여 강변저류지 제원 변화에 따른 직하류부 및 유역출구 홍수저감량 민감도 분석을 실시하고, 민감도분석 결과를 이용하여 직하류부와 유역출구에서의 홍수저감량이 최대가 되게 하는 강변저류지 제원을 결정한다. 제안된 기법을 안성천 유역에 적용하여 적용성을 검토하였으며, 기존의 연구결과와 본 연구에서 제안한 기법의 결과를 비교분석하였다. Due to climate change and difficulty in construction of large dam, it is on the increase to use small hydraulic facilities such as washland for the flood control purpose. Since there can be many potential locations for washland in a basin, it is important for determination of optimal location to calculate flood reduction effect of washlands substantially and exactly. In this study, a new scheme to increase flood reduction effect of washlands is suggested. Suggested scheme uses sensitivity analysis of flood reduction effect depending on washland characteristics such as storage volume, spillway elevation and spillway width. The characteristics of the washland is determined by results of sensitivity analysis to maximize flood reduction effect at basin outlet and downstream of a washland. The methodology is applied to Anseong river basin to show its applicability and applied result is compared with those of another studies.
국내 재생에너지의 ELCC 기반 한계 용량크레딧 산정에 관한 연구
백천현 한국태양에너지학회 2024 한국태양에너지학회 논문집 Vol.44 No.4
Solar and wind power are anticipated to play significant roles in Korea's future power generation mix. This study estimates Capacity Credit (CC) using the effective load-carrying capability (ELCC) method, which is essential for evaluating the contribution of renewable energy to peak electricity demand and for long-term economic capacity planning. By introducing the concept of marginal CC, we analyzed various scenarios using five years of data on electricity demand and capacity factors for solar and wind power. The results highlight the impact of baseline capacity on the marginal CC for different renewable energy target capacities, emphasizing the potential for optimal capacity combinations. This study offers insights for policymakers aiming to integrate renewable energy effectively while maintaining the reliability of power systems.
백천현,정용주,김영진 한국진공학회 2022 Applied Science and Convergence Technology Vol.31 No.4
Many countries have strived to expand the adoption of renewable power generation in the transition to a low-carbon society. Wind power is recognized as one of the most promising and scalable renewable energy sources for power generation, but the amount of wind power generation is heavily dependent on wind speed. Therefore, techniques that enable the reliable estimation of wind speed have long been under focus. In this study, statistically appropriate probability distribution functions were explored using wind speed measurement data from wind farm sites in the Republic of Korea. In particular, the problem of overfitting was investigated in depth by evaluating the fitness of distributions using different parameters. The suitability of mixed distributions was examined statistically based on the information criteria until suitable distributions were established. The results indicated that monthly wind speed data are a good fit with distinct Weibull distributions; thus, planning for wind power generation in the ROK should consider temporal variations in wind speed as revealed by the distribution analyses.