• 한국신재생에너지학회:학술대회논문집
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• 한국신재생에너지학회 2009년도 추계학술대회 논문집
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• pp.133-133
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• 2009

연료전지는 연료의 화학적 에너지를 전기화학 반응을 통하여 직접 전기로 변환하기 때문에 에너지 전환효율이 높고 공해물질을 배출하지 않는 환경친화적인 고효율 발전방식으로, 특히 용융탄산염 연료전지(MCFC) 및 고체산화물 연료전지(SOFC)같은 고온형 연료전지의 경우 분산전원이나 중앙집중발전 같은 발전용에 적합한 연료전지로 평가받고 있다. 현재 MCFC 및 SOFC등의 발전용 연료전지 시스템의 효율은 약 50% 정도이며, 시스템의 발전효율을 높이기 위한 여러 연구가 진행되고 있다. 그 중에서 고온의 배열을 이용하여 연료전지 발전시스템의 효율을 향상시키기 위해 FuelCell Energy, Ansaldo Fuel Cells 및 Simens Westinghouse 등에서 수백 kW급의 fuel cell - gas turbine hybrid system에 대한 상용화 수준의 실증연구가 진행되었다. 본 연구에서는 발전용 연료전지 시스템의 발전효율을 높이기 위한 방안 중 하나로 배열을 이용하여 steam을 발생시켜 air amplifier에 사용함으로써 연료전지 시스템의 MBOP(Mechanical Balance of Plant)중 전력을 소비하는 air blower를 대체하여, 시스템 효율을 향상시키고 시스템의 가용성을 높일 수 있는 설계안에 대하여 논하고자 한다.

• 콘크리트학회논문집
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• 제17권2호
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• pp.293-302
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• 2005

This study describes data from determination of the optimum mix proportion and site application of the mass concrete placed in bottom slab and side wall having a large depth and section as main structures of LNG in-ground tank. This concrete requires low heat hydration, excellent balance between workability and consistency because concreting work of LNG in-ground tank is usually classified by under-pumping, adaptation of longer vertical and horizontal pumping line than ordinary pumping condition. For this purpose, low heat Portland cement and lime stone powder as cementitious materials are selected and design factors including unit cement and water content, water-binder ratio, fine aggregate ratio and adiabatic temperature rising are tested in the laboratory and batch plant. As experimental results, the optimum unit cement and water content are selected under $270kg/m^3$ and $l55{\~}l60 kg/m^3$ separately to control adiabatic temperature rising below $30^{\circ}C$ and to improve properties of the fresh and hardened concrete. Also, considering test results of the confined water ratio($\beta$p) and deformable coefficient(Ep), $30\%$ of lime stone powder by cement weight is selected as the optimum replacement ratio. After mix proportions of 5cases are tested and compared the adiabatic temperature rising($Q^{\infty}$, r), tensile and compressive strength, modulus of elasticity, teases satisfied with the required performances are chosen as the optimum mix design proportions of the side wall and bottom slab concrete. $Q^{\infty}$ and r are proved smaller than those of another project. Before application in the site, properties of the fresh concrete and actual mixing time by its ampere load are checked in the batch plant. Based on the results of this study, the optimum mix proportions of the massive concrete are applied successfully to the bottom slab and side wall in LNG in-ground tank.

• Asian-Australasian Journal of Animal Sciences
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• 제29권2호
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• pp.241-249
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• 2016

The supplementation of livestock feed with animal protein is a present cause for public concern, and plant protein shortages have become increasingly prominent in China. This conflict may be resolved by fully utilizing currently available sources of plant protein. We estimated the rumen degradability and the small intestinal digestibility of the amino acids (AA) in rapeseed meal (RSM), soybean meal (SBM), sunflower seed meal (SFM) and sesame meal (SSM) using the mobile nylon bag method to determine the absorbable AA content of these protein supplements as a guide towards dietary formulations for the dairy industry. Overall, this study aimed to utilize protein supplements effectively to guide dietary formulations to increase milk yield and save plant protein resources. To this end, we studied four cows with a permanent rumen fistula and duodenal T-shape fistula in a $4{\times}4$ Latin square experimental design. The results showed that the total small intestine absorbable amino acids and small intestine absorbable essential amino acids were higher in the SBM (26.34% and 13.11% dry matter [DM], respectively) than in the SFM (13.97% and 6.89% DM, respectively). The small intestine absorbable Lys contents of the SFM, SSM, RSM and SBM were 0.86%, 0.88%, 1.43%, and 2.12% (DM basis), respectively, and the absorbable Met contents of these meals were 0.28%, 1.03%, 0.52%, and 0.47% (DM basis), respectively. Among the examined food sources, the milk protein score of the SBM (0.181) was highest followed by those of the RSM (0.136), SSM (0.108) and SFM (0.106). The absorbable amino acid contents of the protein supplements accurately reflected protein availability, which is an important indicator of the balance of feed formulation. Therefore, a database detailing the absorbable AA should be established.

• 디지털콘텐츠학회 논문지
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• 제11권4호
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• pp.463-471
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• 2010

하수 처리장은 화학적, 물리적, 생물학적 처리가 복합적으로 연계된 공정으로 구성 되는데, 각각의 단위공정과 전체시스템의 처리 성능 및 운영 상태의 정도를 파악 하려면 처리공정의 수학적 모델을 빠르게 연산 할 수 있는 컴퓨터 시뮬레이터를 이용하면 편리하다. 주어진 물리적 환경에서 처리공정의 오염물질, 화학물질, 생물학적 매체의 질량 수지를 계산하는 컴퓨터 시뮬레이터는 데이터의 입출력 과정과 수학모델의 연산과정을 효율적으로 수행하는 응용 소프트웨어로써 처리조 내부에서 일어나는 반응의 상태를 정량적으로 추산하는 도구이다. 이러한 시뮬레이션 소프트웨어는 처리시설의 성능 및 효율을 예측하여 운용자에게 최적 관리를 위한 의사결정의 타당성을 제공하게 되는데, 시뮬레이션 소프트웨어를 처리시설에 적합하도록 시나리오를 설정하고 데이터 수집 시스템에 연결하면 실시간으로 처리시설의 분석이 가능한 자동화 운영 시스템의 역할을 수행한다. 본 논문에서는 통합전산망에서 수집되는 데이터를 시뮬레이션 소프트웨어에서 운용, 실제 운영 상태와 시뮬레이션 결과를 실시간 비교, 분석하여 최적의 운전인자를 도출할 수 있는 시나리오 운영 소프트웨어 "WEC-Sim"의 설계 및 구현에 대하여 논한다.

• 한국수자원학회:학술대회논문집
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• 한국수자원학회 2010년도 학술발표회
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• pp.1706-1709
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• 2010

일반적으로 생물학적 하수처리공정들은 단위공정내 물리 화학적 및 생물학적 반응들이 복잡하게 존재한다. 활성슬러지모델 1(ASM No.1)을 시작으로 생물공정을 모사하기 위한 다양하고도 새로운 수학적 모델들이 개발되어 왔다. 그러나 이들 모델은 그 활용의 측면에 있어 비용과 단순성에서 매우 큰 단점을 가지고 있었다. 그중 이들 수학적 기반의 모델들이 갖는 또 다른 활용상의 어려움은 현장 근무자들이 활용하기에는 시간 소요와 컴퓨터-과학에 관한 기술부족의 장벽이 매우 높아 결국 모델활용의 영역은 전문가나 특정 엔지니어들에게 국한되어 왔다. 이러한 상황을 극복하고 현장 근무자들에게 도움을 주기 위해 동적-물질수지모델(Dynamic-Mass-Balance Model)에 기초한 $KM^2BM$이 개발되었다. 금번 논문은 생물학적 하수처리장을 설계하고 모사함에 있어 활용 가능한 모사 툴로서의 $KM^2BM$을 소개한다. 이 모델은 모델 파라메터의 추정이나 하수성상분석과 같은 별도의 노력 없이도 단순한 인자추정만으로 생물학적 하수처리장내 미생물의 중요 거동기작을 고려함으로서 잠재적 공정적응력을 최대화 시킬 수 있다.

• 대한전기학회논문지:시스템및제어부문D
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• 제53권1호
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• pp.40-49
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• 2004

In this paper, we propose a new architecture of Genetic Algorithms(GAs)-based Self-Organizing Polynomial Neural Networks(SOPNN), discuss a comprehensive design methodology and carry out a series of numeric experiments. The conventional SOPNN is based on the extended Group Method of Data Handling(GMDH) method and utilized the polynomial order (viz. linear, quadratic, and modified quadratic) as well as the number of node inputs fixed (selected in advance by designer) at Polynomial Neurons (or nodes) located in each layer through a growth process of the network. Moreover it does not guarantee that the SOPNN generated through learning has the optimal network architecture. But the proposed GA-based SOPNN enable the architecture to be a structurally more optimized network, and to be much more flexible and preferable neural network than the conventional SOPNN. In order to generate the structurally optimized SOPNN, GA-based design procedure at each stage (layer) of SOPNN leads to the selection of preferred nodes (or PNs) with optimal parameters- such as the number of input variables, input variables, and the order of the polynomial-available within SOPNN. An aggregate performance index with a weighting factor is proposed in order to achieve a sound balance between approximation and generalization (predictive) abilities of the model. A detailed design procedure is discussed in detail. To evaluate the performance of the GA-based SOPNN, the model is experimented with using two time series data (gas furnace and NOx emission process data of gas turbine power plant). A comparative analysis shows that the proposed GA-based SOPNN is model with higher accuracy as well as more superb predictive capability than other intelligent models presented previously.

• 대한전기학회:학술대회논문집
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• 대한전기학회 2002년도 하계학술대회 논문집 D
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• pp.2821-2823
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• 2002

In this paper we propose the Multi-FNN (Fuzzy-Neural Networks) for optimal identification modeling of complex system. The proposed Multi-FNNs is based on a concept of FNNs and exploit linear inference being treated as generic inference mechanisms. In the networks learning, backpropagation(BP) algorithm of neural networks is used to updata the parameters of the network in order to control of nonlinear process with complexity and uncertainty of data, proposed model use a HCM(Hard C-Means)clustering algorithm which carry out the input-output dat a preprocessing function and Genetic Algorithm which carry out optimization of model The HCM clustering method is utilized to determine the structure of Multi-FNNs. The parameters of Multi-FNN model such as apexes of membership function, learning rates, and momentum coefficients are adjusted using genetic algorithms. An aggregate performance index with a weighting factor is proposed in order to achieve a sound balance between approximation and generalization abilities of the model. NOx emission process data of gas turbine power plant is simulated in order to confirm the efficiency and feasibility of the proposed approach in this paper.

• 한국수소및신에너지학회논문집
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• 제35권2호
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• pp.205-215
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• 2024

This study introduced a direct contact heat exchanger to enhance the efficiency of polymer electrolyte membrane fuel cells (PEMFCs) systems. According to previous research, 28% of the operating costs of fuel cell systems are attributed to heat exchanger devices, prompting the design of a direct contact heat exchanger to address this issue. Optimal configurations were determined through computational fluid dynamics analysis and experimental device fabrication, and the enhanced heat exchange performance of the heat exchanger was experimentally confirmed. Through this, the contribution of the direct contact heat exchanger to the heat management and efficiency enhancement of PEMFC systems was established.

• 한국신재생에너지학회:학술대회논문집
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• 한국신재생에너지학회 2007년도 춘계학술대회
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• pp.698-701
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• 2007

DAHAN, the first 1 MWe Solar Power Tower system locates north to Beijing where nearby The Great Wall is now under construction with cooperation between China and Korea. Results in predicting the preliminary performance of this central receiver system are presented in this paper. Operating cycles under some typical weather condition days are simulated and commented. These results can be used to assess the impact of alternative plant designs or operating strategies on annual energy production, with the final objective being to optimize the design of central receiver power plants. Two subsystems are considered in the system simulation: the solar field and the power block. Mathematic models are used to represent physical phenomena and relationships so that the characteristics of physical processes involving these phenomena can be predicted. Decisions regarding the best position for locating heliostats relative to the receiver and how high to place the receiver above the field constitute a multifaceted problem. Four different kinds of field layout are designed and analyzed by the use of ray tracing and mathematical simulation techniques to determine the overall optical performance ${\eta}_{field}$ and the spillage ${\eta}_{spill}$.The power block including a Rankine cycle is analyzed by conventional energy balance methods.

• Nuclear Engineering and Technology
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• 제49권5호
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• pp.905-913
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• 2017

Advanced reactor designs often feature longer operating cycles between refueling and new concepts of operation beyond traditional baseload electricity production. Owing to this increased complexity, traditional proportional-integral control may not be sufficient across all potential operating regimes. The prototypical advanced reactor (PAR) design features two independent reactor modules, each connected to a single dedicated steam generator that feeds a common balance of plant for electricity generation and process heat applications. In the current research, the PAR is expected to operate in a load-following manner to produce electricity to meet grid demand over a 24-hour period. Over the operational lifetime of the PAR system, primary and intermediate sodium pumps are expected to degrade in performance. The independent operation of the two reactor modules in the PAR may allow the system to continue operating under degraded pump performance by shifting the power production between reactor modules in order to meet overall load demands. This paper proposes a Takagi-Sugeno (T-S) fuzzy logic-based power distribution system. Two T-S fuzzy power distribution controllers have been designed and tested. Simulation shows that the devised T-S fuzzy controllers provide improved performance over traditional controls during daily load-following operation under different levels of pump degradation.