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강우자료 형태에 따른 인공신경망의 일유입량 예측 정확도 평가
강문성,김계웅,황순호,박지훈,이재남,강문성 한국농공학회 2019 한국농공학회논문집 Vol.61 No.2
The objective of this study was to evaluate the influence of rainfall observation network on daily dam inflow using artificial neural networks(ANNs). Chungju Dam and Soyangriver Dam were selected for the study watershed. Rainfall and dam inflow data were collected as input data for constructionof ANNs models. Five ANNs models, represented by Model 1 (In watershed, point rainfall), Model 2 (All in the Thiessen network, point rainfall),Model 3 (Out of watershed in the Thiessen network, point rainfall), Model 1-T (In watershed, area mean rainfall), Model 2-T (All in the Thiessennetwork, area mean rainfall), were adopted to evaluate the influence of rainfall observation network. As a result of the study, the models that usedall station in the Thiessen network performed better than the models that used station only in the watershed or out of the watershed. The models thatused point rainfall data performed better than the models that used area mean rainfall. Model 2 achieved the highest level of performance. The modelperformance for the ANNs model 2 in Chungju dam resulted in the R2 value of 0.94, NSE of 0.94 NSEln of 0.88 and PBIAS of –0.04 respectively. The model-2 predictions of Soyangriver Dam with the R2 and NSE values greater than 0.94 were reasonably well agreed with the observations. Theresults of this study are expected to be used as a reference for rainfall data utilization in forecasting dam inflow using artificial neural networks.
Development of Pore-filled Ion-exchange Membranes for Efficient All Vanadium Redox Flow Batteries
강문성 한국전기화학회 2013 한국전기화학회지 Vol.16 No.4
Thin pore-filled cation and anion-exchange membranes (PFCEM and PFAEMs,tm = 25-30 μm) were prepared using a porous polymeric substrate for efficient all-vanadium redox flow battery (VRB). The electrochemical and charge-discharge performances of the membranes have been systematically investigated and compared with those of commercially available ion-exchange membranes. The pore-filled membranes were shown to have higher permselectivity as well as lower electrical resistances than those of the commercial membranes. In addition, the VRBs employing the pore-filled membranes exhibited the respectable chargedischarge performances, showing the energy efficiencies (EE) of 82.4% and 84.9% for the PFCEM and PFAEM, respectively (cf. EE = 87.2% for Nafion 1135). The results demonstrated that the pore-filled ion-exchange membranes could be successfully used in VRBs as an efficient separator by replacing expensive Nafion membrane.
막 축전식 탈염 공정의 성능 향상을 위한 강화 이온교환막
강문성,신민규,송현비 한국막학회 2023 멤브레인 Vol.33 No.5
막 축전식 탈염 공정(membrane capacitive deionization, MCDI)은 이온교환막을 다공성 전극과 함께 사용하여 탈염 효율을 향상시킬 수 있는 CDI 공정의 변형이다. 이온교환막은 MCDI의 성능에 큰 영향을 미치는 핵심 구성요소이다. 본연구에서는 MCDI의 탈염 효율을 크게 향상시킬 수 있는 이온교환막의 최적 제조 인자를 도출하고자 하였다. 이를 위해 PE 다공성 필름의 세공에 단량체를 충진하고 in-situ 광중합을 진행하여 세공충진 이온교환막(pore-filled ion-exchange membranes, PFIEMs)을 제조하였다. 실험 결과, 제조된 PFIEMs은 다양한 탈염 및 에너지 변환 공정에 적용할 수 있는 수준의 우수한 전기화학적 특성을 나타내었다. 또한, MCDI 성능과 막 특성 인자와의 상관성 분석을 통해 막의 가교도를 제어하여 막의 전기적 저항이 충분히 낮은 범위에서 이온 선택 투과성을 최대화하는 것이 MCDI의 성능 향상을 위해 가장 바람직한 막제조 조건이라는 결론을 얻었다. Membrane capacitive deionization (MCDI) is a variation of the conventional CDI process that can improve desalination efficiency by employing an ion-exchange membrane (IEM) together with a porous carbon electrode. The IEM is a key component that greatly affects the performance of MCDI. In this study, we attempted to derive the optimal fabricating factors for IEMs that can significantly improve the desalination efficiency of MCDI. For this purpose, pore-filled IEMs (PFIEMs) were then fabricated by filling the pores of the PE porous support film with monomers and carrying out in-situ photopolymerization. As a result of the experiment, the prepared PFIEMs showed excellent electrochemical properties that can be applied to various desalination and energy conversion processes. In addition, through the correlation analysis between MCDI performance and membrane characteristic parameters, it was found that controlling the degree of crosslinking of the membranes and maximizing permselectivity within a sufficiently low level of membrane electrical resistance are the most desirable membrane fabricating condition for improving MCDI performance.