Fouling is an inevitable problem in membrane water treatment plant. It can be measured by trans-membrane pressure (TMP) in the constant flux operation, and chemical cleaning is carried out when TMP reaches a critical value. An early fouilng alarm is defined as warning the critical TMP value appearance in advance. The alarming method was developed using one of machine learning algorithms, decision tree, and applied to a ceramic microfiltration (MF) pilot plant. First, the decision tree model that classifies the normal/abnormal state of the filtration cycle of the ceramic MF pilot plant was developed and it was then used to make the early fouling alarm method. The accuracy of the classification model was up to 96.2% and the time for the early warning was when abnormal cycles occurred three times in a row. The early fouling alram can expect reaching a limit TMP in advance (e.g., 15-174 hours). By adopting TMP increasing rate and backwash efficiency as machine learning variables, the model accuracy and the reliability of the early fouling alarm method were increased, respectively.

Eutrophication and algal blooms can lead to increase of taste and odor compounds and health problems by cyanobacterial toxins. To cope with these eco-social issues, Ministry of Environment in Korea has been reinforcing the effluent standards of wastewater treatment facilities. As a result, various advanced phosphorus removal processes have been adopted in each wastewater treatment plant nation-widely. However, a lot of existing advanced wastewater treatment processes have been facing the problems of expensive cost in operation and excessive sludge production caused by high dosage of coagulant. In this study, the sedimentation and dissolved air flotation (SeDAF) process integrated with sedimentation and flotation has been developed for enhanced phosphorus removal in wastewater treatment facilities. Design and operating parameters of the SeDAF process with the capacity of 100 m3/d were determined, and a demonstration plant has been installed and operated at I wastewater treatment facility (located in Gyeonggi-do) for the verification of field applicability. Several empirical evaluations for the SeDAF process were performed at demonstration-plant scale, and the results showed clearly that T-P and turbidity values of treated water were to satisfy the highest effluent standards below 0.2 mg/L and 2.0 NTU stably for all of operation cases.

고분자 분리막을 이용한 이산화탄소 포집공정은 최근들어 분리막 소재기술의 발전과 함께 관심이 급격하게 높아지고 있다. 미국의 경우는 MTR사가 DOE의 지원을 받아 1MWe 규모의 발전소 배가스 중의 이산화탄소를 포집하는 실증연구를 진행하고 있다. 또한 유럽에서는 노르웨이의 NTNU가 미국 Airproducts사와 협력하여 시멘트제조공정에서 발생하는 이산화탄소를 포집하는 연구를 수행하는 중이다. 본 연구는 (주)에어레인이 미래부산하 KCRC 센터의 지원을 받아 50 Nm3/hr 규모의 배가스를 처리하는 단위 모듈을 이용하여 150 Nm3/hr 규모연소배가스 포집공정을 설계하는 과정을 언급하고자 한다. 또한 이 플랜트의 시운전 과정에서 얻어진 데이터와 공급기체중의 산소농도의 영향등이 다뤄질 것이다. 최종적인 주요결과는 CO2 회수율 93%, 회수농도 85%이었다.

Various studies have forwarded an outstanding wastewater effluent treatment systems toward securing sustainable supply of water sources. In this paper, a broad overview of the performance of MF membrane as pretreatment option for wastewater reuse will be presented based on the literature survey and experiments conducted over the wastewater reuse pilot plant. The pilot plant was operated with a continuous data acquisition for about 300days under various chemical enhanced backwash (CEB) system with subsequent treated water quality analysis. Accordingly, assessment of the effluent revealed that the pretreated water is suitable enough to be used as an input for Reverse Osmosis (RO) unit and significant effect of CEB and concentration of NaOCl is also conceived from the analysis. Moreover, it's also observed that the application of various CEB condition over long operational hours induced a constant declination of overall performance of MF membrane.

In this study, a fluorescent silica nano particle is used as the surrogate for challenging test of membrane surface integrity. The particles are functionalized by a fluorescent dying agent so that as an ultraviolet light is imposed a bright fluorescent image from the particles can be taken. If a membrane surface is damaged and has a compromised part larger than the size of surrogate the fluorescent particles would pass through and contained in the permeate. An operator can directly notice whether the membrane surface is damaged or not by detecting a fluorescent image taken from the permeate. Additionally, the size of compromised part is estimated through analysing the fluorescent image in which we surmise the mass of particles included in the permeate by calculating an average RGB value of the image. The pilot scale experiments showed that this method could be applied successfully to determine if a membrane surface had a damaged parts regardless of the test condition. In the testing on the actual damaged area of 4.712 mm2, the lowest error of estimating the damaged area was –1.32% with the surrogate concentration of 80 mg/L, flux of 40 L/m2/hr for 25 minutes of detection. A further study is still going on to increase the lowest detection limit and thus decrease the error of estimation.

본 연구에서는 상수관망의 최적 수압모니터링 지점선정 알고리즘과 역추적 계산법을 이용한 누수탐지 알고리즘을 개발하였고 파일럿 플랜트에서 실험을 통해 검증하였다. 먼저 누수탐지를 위한 최적의 모니터링 지점선정을 선정하고 압력계를 설치하여 누수로 인한 압력변위를 측정하였다. 누수탐지를 위한 역추적계산법의 검증을 위하여 누수탐지를 수행하였고 파일럿플랜트에서 실제 재현된 누수의 지점과 누수량을 정확하게 산정하였다. 누수량을 0.0005 m3/s로부터 0.0018 m3/s까지 변화시키며 누수를 재현하였고 누수지점에 근접한 장소를 찾는데 성공하였다. 본 연구에 서는 실험을 통해서 누수탐지기법으로 사용된 역추적계산법이 유효함을 검증할 수 있었다.