• 대한환경공학회지
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• 제38권12호
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• pp.676-682
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• 2016

본 연구에서는 빗물과 중수를 연계하여 각각의 단점을 극복하고 장점을 극대화 할 수 있는 빗물-저농도 오수 하이브리드 시스템을 설계하고 서울대학교에 설치하여 수량 및 수질 모니터링과 경제성을 평가하였다. 건물에서 발생하는 오수 중세면, 샤워용수를 중수로 선택하여 침지형 분리막과 오존산화 처리하였으며, 건물 옥상에서 집수된 빗물은 저류 후 처리수조로 이송되어 처리된 저농도 오수와 혼합되어 변기 세척용수로 공급하였다. 변기 세척용수 $3,979m^3$ 중 65%인 $2,599m^3$를 빗물 이용과 저농도 오수를 재이용하였다. 빗물은 총대장균을 제외한 나머지 항목에서 중수도 수질 기준을 만족하였으며, 저농도 오수는 탁도, SS, BOD, 총대장균이 기준치를 초과하여 침지형 분리막과 오존산화 처리하여 안정적인 수질을 유지하였다. 경제성 분석 결과, 빗물-저농도 오수 하이브리드 시스템은 B/C (Benefit-Cost Ratio) 비율이 1.11으로 사업의 타당성이 있다고 판단된다. 물 재이용시설의 이용확대를 위해 시설 운영에 따른 경제성을 높이기 위한 다양한 연구 및 정책적 지원이 필요하다.

• 한국신재생에너지학회:학술대회논문집
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• 한국신재생에너지학회 2009년도 춘계학술대회 논문집
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• pp.73-76
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• 2009

Generally, wind or solar power system is operated as a stand-alone power system, the efficiency of which could be higher by designing wind-solar combined system considering average wind speed and solar radiation of the desert region, Mongolia. This system is designed to generate electricity for power users and pumps the ground water for irrigation using deep well pump. The ground water can be used for farming or forestation where there is no or little irrigation system. In connection with this study, a renewable energy park, Green Eco Energy Park, was developed at about 50km east of Ulaanbaatar. 3 sets of 10kW wind power generator and 70 kW of solar power module were installed there. The electricity generated from the system is used to on-site office building and deep well pump for ground water pumping. A 10kW stand-alone solar pumping system, which has no rechargeable battery system, is installed to pump the ground water with the amount of generated power. The ground water is stored in 3 artificial ponds and then it is used for raising nursery tree and farming. The purpose of this study is to provide a possible energy solution to desert regions where there is no or little power system. The system also supply power to ground water pump, and the water can be used for farming and forestation, which will also be a solution of preventing desertification or spreading of desert area.

• 한국태양에너지학회 논문집
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• 제37권1호
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• pp.47-57
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• 2017

Solar energy is one of the important renewable energy resources. It can be used for air heating, hot water supply, heat source of desiccant cooling system and so on. And many researches for enhancing efficiency have been conducted because of these various uses of solar thermal energy. This study was performed to investigate the air heating performance of hybrid solar air-water heater that can heat air and liquid respectively or simultaneously and finding method for improving thermal performance of this collector. This collector has both liquid pipe and air channel different with the traditional solar water and air heater. Fins were installed in the air channel for enhancing the air heating performance of collector. Also air inlet & outlet temperature, ambient temperature and solar collector's inner part temperature were confirmed with different air velocity on similar solar irradiance. As a result, temperature of heated air was shown about $43^{\circ}C$ to $60^{\circ}C$ on the $30^{\circ}C$ of ambient temperature and thermal efficiency of solar collector was shown 28% to 73% with respect to air velocity. Also, possibility of improvement of thermal performance of this collector could be ascertained from the heat transfer coefficient calculated from this experiment. Thus, it is considered that the research for finding optimal structure of hybrid solar air-water heater for enhancing thermal performance might be needed to conduct as further study based on the method for improving air heating performance confirmed in this study.

• Membrane and Water Treatment
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• 제2권1호
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• pp.1-24
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• 2011

The deficiency of clean water is a major global concern because all the living creatures rely on the drinkable water for survival. On top of this, abundant of clean water supply is also necessary for household, metropolitan inhabitants, industry, and agriculture. Among many purification processes, advances in low-energy membrane separation technology appear to be the most effective solution for water crisis because membranes have been widely recognized as one of the most direct and feasible approaches for clean water production. The aim of this article is to give an overview of (1) two new emerging membrane technologies for water reuse and desalination by forward osmosis (FO) and membrane distillation (MD), and (2) the molecular engineering and development of highly permeable hollow fiber membranes, with polyvinylidene fluoride (PVDF) and polybenzimidazole (PBI) as the main focuses for the aforementioned applications in National University of Singapore (NUS). This article presents the main results of membrane module design, separation performance, membrane characteristics, chemical modification and spinning conditions to produce novel hollow fiber membranes for FO and MD applications. As two potential solutions, MD and FO may be synergistically combined to form a hybrid system as a sustainable alternative technology for fresh water production.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제18권1호
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• pp.46-63
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• 2024

One of the biggest dangers in the globe is water contamination. Water is a necessity for human survival. In most cities, the digging of borewells is restricted. In some cities, the borewell is allowed for only drinking water. Hence, the scarcity of drinking water is a vital issue for industries and villas. Most of the water sources in and around the cities are also polluted, and it will cause significant health issues. Real-time quality observation is necessary to guarantee a secure supply of drinking water. We offer a model of a low-cost system of monitoring real-time water quality using IoT to address this issue. The potential for supporting the real world has expanded with the introduction of IoT and other sensors. Multiple sensors make up the suggested system, which is utilized to identify the physical and chemical features of the water. Various sensors can measure the parameters such as temperature, pH, and turbidity. The core controller can process the values measured by sensors. An Arduino model is implemented in the core controller. The sensor data is forwarded to the cloud database using a WI-FI setup. The observed data will be transferred and stored in a cloud-based database for further processing. It wasn't easy to analyze the water quality every time. Hence, an Optimized Neural Network-based automation system identifies water quality from remote locations. The performance of the feed-forward neural network classifier is further enhanced with a hybrid GA- PSO algorithm. The optimized neural network outperforms water quality prediction applications and yields 91% accuracy. The accuracy of the developed model is increased by 20% because of optimizing network parameters compared to the traditional feed-forward neural network. Significant improvement in precision and recall is also evidenced in the proposed work.

• 대한기계학회논문집B
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• 제38권11호
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• pp.907-914
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• 2014

본 연구는 센서식 및 프로그램식의 태양추적장치를 이용하여 집광형 태양전지의 발전효율을 증가시키는 연구를 진행하였다. 또한 집광형 태양전지에서 발생된 열은 히트파이프를 포함한 흡열기로 회수함으로써 온수나 난방에 사용할 수 있었다. 실험 결과 집광형 태양전지의 평균 전기효율은 16%, 히트파이프를 포함한 흡열기의 열효율은 62% 로 복합효율이 78%를 나타내었다. 태양위치에 따른 실시간 추적, 일몰 이후 난방장치의 동쪽방향 원상복귀, 원상복귀후 자동종료는 Simulink 프로그램으로 구현하였다. 히트파이프 유무, 집광비, 흡열기 입구 속도에 따른 집광형 태양전지 및 흡열기 온도를 해석하였으며 실험결과와 일치하였다.

• Journal of Electrochemical Science and Technology
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• 제7권1호
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• pp.41-51
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• 2016

In the stratosphere, the air is stable and a photovoltaic (PV) system can produce more solar energy compared to in the atmosphere. If unmanned aerial vehicles (UAVs) fly in the stratosphere, the flight stability and efficiency of the mission are improved. On the other hand, the weakened lift force of the UAV due to the rarefied atmosphere can require more power for lift according to the weight and/or wing area of the UAV. To solve this problem, it is necessary to minimize the weight of the aircraft and improve the performance of the power system. A regenerative fuel cell (RFC) consisting of a fuel cell (FC) and water electrolysis (WE) combined PV power system has been investigated as a good alterative because of its higher specific energy. The WE system produces hydrogen and oxygen, providing extra energy beyond the energy generated by the PV system in the daytime, and then saves the gases in tanks. The FC system supplies the required power to the UAV at night, so the additional fuel supply to the UAV is not needed anymore. The specific energy of RFC systems is higher than that of Li-ion battery systems, so they have less weight than batteries that supply the same energy to the UAV. In this paper, for a stratospheric long-endurance hybrid UAV based on an RFC system, three major design factors (UAV weight, wing area and performance of WE) affecting the ability of long-term flight were determined and a simulation-based feasibility study was performed. The effects of the three design factors were analyzed as the flight time increased, and acceptable values of the factors for long endurance were found. As a result, the long-endurance of the target UAV was possible when the values were under 350 kg, above 150 m² and under 80 kWh/kg H₂.

• 자원환경지질
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• 제51권1호
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• pp.67-76
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• 2018

본 연구는 해외 친환경에너지타운에서 보어홀 지중열 저장(BTES) 기술을 활용한 융복합 열에너지 공급 시스템의 3가지 사례로서 캐나다의 ADEU(Alexandra District Energy Utility) 및 DLSC(Drake Landing Solar Community)와 덴마크의 Brædstrup Solpark를 조사하였다. 이들 지역 냉난방 시스템들은 효율과 지속가능성을 높이기 위하여 다중 에너지원을 활용하고 있다. ADEU는 리치몬드시에서 726 개의 지중열교환기로 이루어진 지열필드 및 천연 가스 백업 보일러를 이용한 대규모 지역에너지 공급을 위해 개발되었다. 그리고 캘거리시 인근 Okotoks에 위치한 DLSC는 여름철에 풍부한 태양열 에너지를 144 개의 지중열교환기를 통하여 지중에 저장하고 겨울철 난방을 위해 각 주택에 열에너지를 분배하는 계간축열 방식의 지역난방 시스템이다. Brædstrup Solpark 지역난방 시스템은 태양열, 히트 펌프, 보일러 플랜트 및 계간축열을 위한 48 개의 지중열교환기로 구성되며 다중 에너지원을 이용하여 열을 저장한다. BTES 시추공의 심도와 축열량은 지하수 유동과 지반의 열물성에 따라 영향을 많이 받는다. 이러한 시스템들은 경쟁력 있는 에너지 가격으로 장기적인 에너지를 공급함으로서 신뢰성과 경제성을 평가 받았다. 그리고 ADEU와 Brædstrup Solpark는 서비스 영역 확장을 위한 장기 에너지 공급 계획을 기반으로 확장이 진행중이다. 본 조사를 통하여 이러한 시스템들은 사회 경제적인 이익 뿐만아니라 환경적인 관점이 설계에 반영되어 있는 것을 알 수 있었다. 국내에서도 이러한 프로젝트를 실시하기 위해서는 지방 정부 또는 관련 기관의 에너지 정책 지원 뿐만아니라, 관리 기관 설치를 통한 장기적인 협력이 필요하다.

• 한국태양에너지학회 논문집
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• 제27권3호
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• pp.37-44
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• 2007

For the past few years, the concern for clean energy has been greatly increased. Ocean Thermal Energy Conversion(OTEC) power plants are studied as a viable option for the supply of clean energy. In this paper, the thermodynamic performance of OTEC cycle was examined. Computer simulation programs were developed under the same condition and various working fluids for closed Rankine cycle, regeneration cycle, Kalina cycle, open cycle and hybrid cycle. The results show that the regeneration cycle using R125 showed a 0.17 to 1.56% increase in energy efficiency, and simple Rankine cycle can generate electricity when the difference in warm and cold sea water inlet temperatures are greater than $15^{\circ}C$. Also, the cycle efficiency of OTEC power plant using the condenser effluent from nuclear power plant instead of the surface water increased about 2%.

• Steel and Composite Structures
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• 제49권6호
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• pp.645-666
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• 2023

Due to the steadily declining supply of natural coarse aggregates, the concrete industry has shifted to substituting coarse aggregates generated from byproducts and industrial waste. Oil palm shell is a substantial waste product created during the production of palm oil (OPS). When considering the usage of OPSC, building engineers must consider its uniaxial compressive strength (UCS). Obtaining UCS is expensive and time-consuming, machine learning may help. This research established five innovative hybrid AI algorithms to predict UCS. Aquila optimizer (AO) is used with methods to discover optimum model parameters. Considered models are artificial neural network (AO - ANN), adaptive neuro-fuzzy inference system (AO - ANFIS), support vector regression (AO - SVR), random forest (AO - RF), and extreme gradient boosting (AO - XGB). To achieve this goal, a dataset of OPS-produced concrete specimens was compiled. The outputs depict that all five developed models have justifiable accuracy in UCS estimation process, showing the remarkable correlation between measured and estimated UCS and models' usefulness. All in all, findings depict that the proposed AO - XGB model performed more suitable than others in predicting UCS of OPSC (with R², RMSE, MAE, VAF and A_15-index at 0.9678, 1.4595, 1.1527, 97.6469, and 0.9077). The proposed model could be utilized in construction engineering to ensure enough mechanical workability of lightweight concrete and permit its safe usage for construction aims.