• 한국멀티미디어학회논문지
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• 제22권3호
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• pp.366-373
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• 2019

The development of monitoring and analysis systems to increase productivity while saving energy is needed as a method to reduce huge amount of energy consumed in the process of producing large forged products. In this paper, we propose a system to monitor and analyze energy usage in real-time collected from gas-meter, wattmeter, and thermometer based on IoT installed in forging factories. The system consists of a data collection server for collecting and processing data from IoT- based platform and existing SCADA equipment and ERP/MES system in forging factories, and an application server for providing services to users. To develop the system, the overall system structure is logically diagrammed, and the databases configuration and implementation modules to efficiently store and manage data are presented. In the future, the system will be utilized to reduce energy consumption by analyzing energy usage pattern and optimizing process works with real-time energy usage and production process data for each facility.

• 산업경영시스템학회지
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• 제39권3호
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• pp.180-191
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• 2016

Optimizing energy usage for maximum efficiency is an essential goal for manufacturing plants in every industrial manufacturing sector. The generation and distribution of purifying compressed air is a large expense incurred in practically all manufacturing processes. Not only is the generation and treatment expensive equipment of compressed air, but frequent maintenance and effective operation is also required. As a plant's compressed air system is often an integral part of the production process, it needs to be reliable, efficient, and easy to be maintain. In this paper, we study to find operating method to save energy from the adsorption dryer in the process of purifying compressed air, which is required for a clean room production site in "A" company. The compressed air passes through a pressure vessel with two "towers" filled with a material such as activated alumina, silica gel, molecular sieve or other desiccant material. This desiccant material attracts the water from the compressed air via adsorption. As the water clings to the desiccant, the desiccant particle becomes saturated. Therefore, Adsorption dryer is an extremely significant facility which removes the moisture in the air $70^{\circ}C$ below the dew point temperature while using a lot of energy. Also, the energy consumption of the adsorption dryer can be varied by various operating conditions (time, pressure, temperature, etc). Therefore, based on existing operating experiments, we have searched operating condition to maximize energy saving by changing operating conditions of the facility. However, due to a short experiment period (from September to October), further research will be focused on considering seasonality.

• 유기물자원화
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• 제30권2호
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• pp.29-42
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• 2022

정부는 최근 2050년까지 국가 온실가스 순배출량은 "0"으로 하는 2050 탄소중립 정책을 추진하고 있다. 이에, 축산업 부문 2050 탄소중립을 위한 핵심적인 수단으로 가축분뇨 에너지화에 대한 관심이 증가하고 있다. 가축분뇨 고체연료화 기술은 가축분뇨를 건조 또는 탄화시켜 고체연료로 제조하는 기술로서 가축분뇨 고체연료 제조시설 및 발전시설의 경제성 문제로 인하여 보급 확산이 미미한 상황이다. 본 연구에서는 가축분뇨 고체연료 제조 및 이용 촉진을 위하여 가축분뇨 고체연료의 잠재적인 수요처인 가축분뇨 고체연료 발전시설의 경제성을 평가하고자 하였다. 가축분뇨 고체연료 제조원가는 200톤/일 규모의 발효건조 과정에서 97.4 천원/톤으로 가장 낮은 제조원가를 보였다. 가축분뇨 고체연료 발전시설은 신재생에너지공급인증서(REC) 가중치 1.5에서 경제성을 나타냈다. 가축분뇨 고체연료화는 온실가스 저감, 수계 비점오염원 저감 등 다양한 환경적 편익을 지니고 있다. 따라서 가축분뇨 고체연료 생산시설을 확산 보급을 위해서는 다양한 환경 편익을 포함한 경제성 검토가 요구된다.

• 대한기계학회논문집 C: 기술과 교육
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• 제3권4호
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• pp.299-305
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• 2015

미래에너지의 해법으로 원자력에너지를 이용한 물분해 수소생산시스템의 핵심기술을 개발하였다. 안전성을 보장할 수 있는 제4세대 원자로인 초고온가스로의 고열을 이용하여 황요오드 열화학적인 방법으로 물을 분해하여 수소를 생산하는 기술이다. 원자력수소생산 핵심기술은 초고온에서의 열을 공급하는 것을 모사하는 초고온 실험기술, 초고온가스로의 안전성을 모사하는 연구, 초고온가스로의 노심과 안전성을 해석할 수 있는 도구의 개발, 초고온가스로에 사용하는 연료제조기술, 물을 분해하여 열화학적인 방법으로 수소를 생산하는 기술로 구성된다. 원자력수소생산에 필요한 핵심기술을 개발하고 실험실 규모로 입증하였으며, 대규모 실용화를 위해서 선결되어할 미완성 기술을 제시하였다. 본 기술은 제4세대 원자로개발 국제공동연구로 수행한 기술로서 향후 미래의 원자로 기술이다.

• 한국해양공학회:학술대회논문집
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• 한국해양공학회 2002년도 추계학술대회 논문집
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• pp.119-123
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• 2002

Liquefied Natural Gas(LNG) continues to attract modern gas industries as well as domestic markets as their main energy source in the recent years. This is mainly because LNG is inherently cleaner and more energy efficiency than other fuels. Offshore LNG production plant is of interest to many oil producing companies all over the world. This article discuss about the production process encountered while developing such a production facility. Typical offshore oil and gas processing required for oil stabilization and other optional units that can be added to the facilities. The production process can broadly be divided into five major units namely, (i) Oil Stabilization unit, (ii) Gas Treatment unit, (iii) Methane Recovery unit, (iv) Distillation unit and (v) LNG Liquefaction unit. The process simulation was carried out for each unit with a given wellhead composition. The topside facilities of offshore LNG production plant will be very similar to the process adopted in offshore processing platform along with the typical onshore LNG production plant. However, the process design problems associated with FPSO motion to be taken care of while developing floating LNG production plant.

• 한국식품조리과학회지
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• 제33권3호
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• pp.342-352
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• 2017

Purpose: The purposes of the study were to evaluate dietitian's practices for sustainability management and identify barriers of sustainability management at school foodservice. Methods: A total of 220 dietitians working in Daejeon and Chungnam area were surveyed. 187 responses were analyzed for the study. Data were analyzed using SPSS Windows. Results: The respondents were 36% in their 20 s, 38% in their 30 s, 39.6% in elementary schools, 33.7% in middle schools and 26.4% in high schools. Among dietitian's practices for sustainability management, the item with the highest self-evaluation was purchase eco-friendly food (3.75). The category with the highest score was procurement (3.52), by waste management (3.48), production (3.39), menu management (3.36), facility and energy management (3.20), personnel management (3.18), and nutrition education (3.04). In the area of menu management, production management, facility and energy management, nutrition education, and personnel management, scores of elementary school working dietitians were the highest, followed by middle school and high school (p<0.001). The most perceived factor for barriers to sustainability management was principal's indifference to sustainability management (4.10 out of 5 points). ietitian's sustainability management practices and barriers showed a negative correlation. Conclusion: It is necessary to dietitians, employees, and principals' awareness about sustainability management in order to perform effective sustainable management school foodservice.

• 한국신재생에너지학회:학술대회논문집
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• 한국신재생에너지학회 2007년도 추계학술대회 논문집
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• pp.485-488
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• 2007

Riverbank filtration is a kind of artificial aquifer recharge for the fresh water supply. By construction of several production wells penetrating the riverbank, surface water withdrawn from the river would pass riverbed. This extracted water is well known to be cooler than surface water in summer and warmer than surface water in winter, showing more constant water temperature. This characteristic of extracted water is applied to geothermal energy utilization. Prediction of the annual temperature variation of filtrated water is the major concern in this study. In Daesan-myeon, Changwon-si, Gyeongsangnam-do, South Korea, riverbank filtration facility has been on its operation for municipal water supply and thermal energy utilization since 2006. Appropriate hydraulic and thermal properties were estimated for flow and heat transfer modeling with given pumping rate and location. With the calibrated material properties and boundary conditions, we numerically reproduced measured head and temperature variation with acceptable error range. In the numerical simulation, the change of saturation ratio and river stage caused by rainfall was calculated and the resulting variation of thermal capacity and thermal conductivity was considered. Simulated temperature profiles can be used to assess the possible efficiency of geothermal energy utilization using riverbank filtration facility. Influence of pumping rate, pumping location on the extracted water temperature will be studied.

• 인터넷정보학회논문지
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• 제19권1호
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• pp.87-95
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• 2018

전 세계적으로 지구 온난화 및 에너지 비용 상승으로 인해서 에너지 절감에 대한 관심이 증가하고 있다. 특히, 단조 공장들은 에너지를 많이 사용하기 때문에 에너지를 절감하면서 생산성을 향상시키는 방법에 대한 연구가 필요하다. 이러한 진입을 위한 한 가지 해결책으로 IoT 기반으로 각 설비의 에너지 사용량을 실시간으로 파악할 수 있는 시스템을 제안한다. 본 시스템은 생산 공장에서 사용하는 기존 기업자원관리시스템과 생산실행시스템과의 연동으로 작업일지 입력/관리, 설비/에너지 관리, 실시간 에너지 모니터링, 이력 검색, 데이터 분석 등으로 구성된다. 중심이 되는 실시간 에너지 모니터링 프로세스는 각 설비별로 기존 설치되어 있는 가스계량기와 전력계에 IoT 디바이스를 연결시켜 데이터를 실시간으로 수집한다. 그리고 수집된 에너지 사용량을 웹 또는 모바일에서 실시간으로 화면에 표출한다. 본 시스템의 장점은 생산 공정 단계에서 설비별 도시가스 및 전력 에너지 사용량의 변화, 사용요금, 에너지 환산, 온실가스 등의 정보를 웹 기반에서 실시간으로 파악할 수 있다는 것이다. 향후, 빅 데이터 기반에서 에너지 사용량을 수집하여 생산 공정별로 에너지 사용량을 분석함으로써 제품 생산 소요시간을 최소화할 수 있는 에너지 절감 방안 수립에 사용될 수 있다. 또한, 모바일 작업일지시스템과 생산 공정 최적화 모델과 융합하면 에너지를 절감하면서 생산성을 향상시키는 방안이 마련될 수 있다.

• 한국해양공학회지
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• 제27권6호
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• pp.7-15
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• 2013

Eco-friendly and sustainable seaweed biomass energy have been under the spotlight as the future of renewable energy. However, seaweed culture is primarily conducted inshore, with the research on offshore culture still in an early stage. For massive biomass production, a systematic engineering approach is required to devise offshore seaweed culture facilities rather than the conventional empirical ones. To establish the fundamental behavior of seaweed culture facilities, the dynamic characteristics of a seaweed culture facility were analyzed in the study. For this purpose, numerical analyses of the seaweed culture facility (a frame type) were carried out by using the hydrodynamic simulation program ANSYS-AQWA. For the analysis, environmental loads were considered using the wave spectra and co-linear current; mooring variables were selected as parameters; and time domain analyses were carried out to acquire the time series responses and eventually the dynamic characteristics. Finally, the mooring performance was evaluated. It was found that the motion could be controlled by adjusting the buoyancy and mooring slope.

• 한국전자통신학회논문지
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• 제18권1호
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• pp.39-44
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• 2023

태양광, 풍력 등의 신재생 에너지는 기상조건 및 환경변화에 민감한 자원이다. 설치위치 및 구조에 따른 설비의 발전량이 달라질 수 있기 때문에 정확한 발전량 예측은 중요하다. 기상 빅데이터를 활용하여 주성분 분석을 기반으로 데이터 전처리 과정을 진행하여 신재생 에너지 발전량 예측 시 영향을 미치는 피처간의 관계를 모니터링하였다. 또한, 본 연구에서는 영향을 미치는 민감도에 따라 데이터셋을 재구성하여 머신러닝 모델에 적용하여 예측도를 테스트하였다. 제안한 모형을 사용하여 신재생 에너지를 대상으로 기상환경에 따라 에너지 발전량을 예측하고 해당 시점의 실제 생산 값과 비교함으로써 랜덤 포레스트 회귀 분석을 적용한 에너지 발전량 예측에 대한 성능을 확인하였다.