• Journal of Internet Computing and Services
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• v.24 no.2
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• pp.47-56
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• 2023

Hydrogen energy is an eco-friendly energy that produces heat and electricity with high energy efficiency and does not emit harmful substances such as greenhouse gases and fine dust. In particular, smart hydrogen energy is an economical, sustainable, and safe future smart hydrogen energy service, which means a service that stably operates based on 'data' by digitally integrating hydrogen energy infrastructure. In this paper, in order to implement a data-based hydrogen charging station demand forecasting model, three hydrogen charging stations (Chuncheon, Sokcho, Pyeongchang) installed in Gangwon-do were selected, supply and demand data of hydrogen charging stations were secured, and 7 machine learning and deep learning algorithms were used. was selected to learn a model with a total of 27 types of input data (weather data + demand for hydrogen charging stations), and the model was evaluated with root mean square error (RMSE). Through this, this paper proposes a machine learning-based hydrogen charging station energy demand prediction model for optimal hydrogen energy supply and demand.

• Transactions of the Korean hydrogen and new energy society
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• v.17 no.1
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• pp.90-97
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• 2006

Hydrogen is used as a chemical feedstock in several important industrial processes, including oil refineries and petro-chemical production. But, nowadays hydrogen is focused as energy carrier on the rising of problems such as exhaustion of fossil fuel and environmental pollution. Thermochemical hydrogen production by nuclear energy has potential to efficiently produce large quantities of hydrogen without producing greenhouse gases, and research of nuclear hydrogen, therefore, has been worked with goal to demonstrate commercial production in 2020. The oil refineries and petro-chemical plant are very large, centralized producers and users of industrial hydrogen, and high-potential early market for hydrogen produced by nuclear energy. Therefore, it is essential to investigate and analyze for state of domestic hydrogen market focused on industrial users. Hydrogen market of petro-chemical industry as demand site was investigated and worked for demand forecast of hydrogen in 2020. Also we suggested possible supply plans of nuclear hydrogen considered regional characteristics and then it can be provided basis for determination of optimal capacity of nuclear hydrogen plant in 2020.

• Journal of the Korean Institute of Gas
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• v.25 no.3
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• pp.16-26
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• 2021

The global warming problem has arose, the supply eco-friendly vehicles such as HFCEVs is increasing around world and Korea is fully supporting subsidies, tax cut to form an initial market for HFCEVs. The key to the safety of HFCEVs is pressure vessels stored hydrogen, and although these pressure vessels must be inspection regularly, the existing inspection stations are insufficient to meet the demand for inspection. Therefore, it is important to establishment of pressure vessels inspection station for safety management of HFCEVs. In this study, it estimates innovation coefficient, imitation coefficient in Bass model by using electric vehicle sales data, and foretasted the supply of HFCEVs by region & the demand for inspection by region using the Bass diffusion model. As a result, the inspection demand for pressure vessels in HFCEVs in 2040 was 690,759 units, and it was confirmed 191 new inspection stations and 1,124 inspectors were needed to prepare for this.

• Journal of Radiation Protection and Research
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• v.25 no.2
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• pp.75-80
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• 2000

The predicted results of INDAC code were compared with measured $^3H$ concentrations in air and pine-needle around the Wolsung site. The optimal sets of input data to INDAC were in addition selected by comparing the measured values with the predicted values of INDAC based on various conditions such as the release modes of effluents into the environment, the classification of wind classes, and the consideration of terrain. The predicted $^3H$ concentrations in air and pine-needle were shown to have good agreement with measured values, although there are some limitations such as uncertainties in measured values, complex topology around the site, and the land-sea breeze effects. The assumption on the $^3H$ behavior in vegetables or plants that the ratio of $^3H$ concentration in plant water to $^3H$ concentration in atmospheric water is 1/2 was shown to be conservative in terms of the audit calculation performed by the regulator. It was also found that data sets based on mixed mode and no terrain data were not appropriate for the audit calculation ensuring the compliance with regulations. Thus, if the mixed mode is considered as the release mode of effluents into the environment, meteorological data measured at 58 m height and terrain data should be used to evaluate the atmospheric dispersion factor.

• 한국신재생에너지학회:학술대회논문집
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• 2007.11a
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• pp.59-62
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• 2007

연료전지는 수소를 이용하여 전기를 생산하는 발전 시스템으로 운전 중 수소 누출과 폭발의 위험성을 항상 수반하고 있다. 따라서 안전성의 확보를 위해 연료전지 시스템 내부에서 수소 누출 시 유e동 특성으로 인한 특정 부근 농도 정체와 환기의 영향을 파악하는 것이 필요하다. 실험 장치와 전산유체역학 프로그램을 사용하여 챔버 내 수소의 유통 특성과 환기구에 따른 환기의 영향을 확인하였다. 수소의 누출 속도와 양에 따라 유동장의 형태는 크게 변하였으며 환기구의 위치와 크기는 특정 부근의 농도정체와 챔버 내 전체적인 수소 농도에 영향을 미침으로서 안정성을 확보하는 중요한 인자임을 알 수 있었다. 예측 결과를 실제 실험 모델과 비교하여 그 타당성을 검토하였으며 차후 가정용 연료전지 모듈의 환기구 설계에 적용할 수 있다.

• Journal of Radiation Protection and Research
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• v.33 no.3
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• pp.113-120
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• 2008

In this study, The TRITGO code was introduced, which can predict the amount of tritium production, it's transport, removal, distribution and the level of contamination for the produced hydrogen by the tritium on the VHTR (very high temperature gas cooled reactor). The TRITGO code was improved so that the permeation to the IS Iodine Sulfide) loop for producing the hydrogen can be simulated. The contamination level of the produced hydrogen by the tritium was predicted by the improved code for the VHTR with 600MW thermal power. The contamination level for the produced hydrogen by tritium was predicted as 0.055 Bq/$H_2-g$. This level is three order of lower than the regulation value of 56 Bq/$H_2-g$ from Japan. From this study, the following results were obtained. it is important that the fuel coating (SiC layer) should be kept intact to prevent the tritium from releasing. Also it is necessary that the level of impurity such as 3He and Li in the helium coolant and the reflector consisting of the graphite should be kept as low as possible. It was found that the capacity of the purification system for filtering the impurities directly from the coolant will be the important design parameter.

• Journal of Korean Tunnelling and Underground Space Association
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• v.23 no.6
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• pp.605-612
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• 2021

Amid growing global damage due to abnormal weather caused by global warming, the introduction of eco-friendly cars is accelerating to reduce greenhouse gas emissions from internal combustion engines. Accordingly, many studies are being conducted in each country to prepare for the explosion of hydrogen fuel in semi-closed spaces such as tunnels and underground parking lots to ensure the safety of hydrogen-electric vehicles. As a result of predicting the explosion pressure of the hydrogen tank using the equivalent TNT model, it was found to be about 1.12 times and 2.30 times higher at a height of 1.5 meters, respectively, based on the case of 52 liters of hydrogen capacity. A review of the impact on the human body and buildings by converting the predicted maximum explosive pressure into the amount of impact predicted that all predicted values would result in lung damage or severe partial destruction. The predicted degree of damage was applied only by converting the amount of impact caused by the explosion, and considering the additional damage caused by the explosion, it is believed that the actual damage will increase further and safety and disaster prevention measures should be taken.

• Proceedings of the Korean Vacuum Society Conference
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• 2016.02a
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• pp.119.2-119.2
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• 2016

가열탈기체 처리하면 표면의 물 분자를 빠르게 탈리시켜 단시간에 배기하는 동시에 진공용기 재료 내부의 수소 확산속도를 가속하므로 처리 후 수소 기체방출도 현저하게 낮출 수 있다. 가열탈기체 후의 진공계에서는 물 분자는 일부만 남고 진공용기 재료 내부에서 확산 되어 나온 수소가 잔류가스의 대부분이 된다. 이러한 가열탈기체 처리의 효과에 대해서는 익히 알려져 있으나 정량적으로 예측하기는 쉽지 않았다. 본 연구에서는 가열탈기체 조건이 수소 확산에 미치는 영향에 초점을 맞추어, 진공용기의 재료 및 두께에 따라 목표 진공도에 도달하기 위한 가열탈기체 처리 온도와 시간의 최적 조합을 수치 해석적으로 계산하고 비교하였다.

• Proceedings of the Korea Information Processing Society Conference
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• 2022.11a
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• pp.341-343
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• 2022

온실가스 배출 문제가 세계적인 현안으로 부각되면서 수소를 에너지원으로 사용하는 수소경제가 주목받고 있다. 수소연료전지는 수소경제의 구성요소 중 하나로, 수소를 활용해 열과 전기를 생산하며 에너지 변환 효율이 높이는데 장점이 있다. 본 연구는 세계적인 온라인 커뮤니티인 레딧(Reddit)에서 수집한 수소연료전지와 관련된 소셜 데이터를 텍스트마이닝과 감성분석 기법으로 분석하였다. 분석 결과 9,211건의 댓글을 LDA(Latent Dirichlet Allocation)을 이용해 4개의 토픽 그룹으로 분류할 수 있었다. 이 중 수소연료전지와 관련이 높은 그룹을 선정해 STM(Structural Topic Model) 분석으로 10개 토픽을 추출하였고, 기후 환경, 수소 산업, 수소 차와 관련 있는 토픽 3개를 발견할 수 있었다. 이 연구 결과를 통해 수소연료전지의 세계적으로 실제적인 내용을 빠르고 효과적으로 파악하여 수소연료전지에 대한 예측하고, 우리나라의 수소연료전지 관련 국가R&D의 정책적 방향을 제시하고자 한다.

• 한국신재생에너지학회:학술대회논문집
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• 2007.06a
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• pp.28-32
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• 2007

최근 대두되고 있는 에너지 문제와 더불어 대체에너지 개발 및 에너지의 이용효율을 높이려는 연구가 많이 이루어지고 있다. 수소에너지는 비 탄소계 연료로서 그 중요성에 대한 인식이 높아지고 있으며, 다양한 분야에서 수소에너지를 이용하기 위한 노력이 이루어지고 있다. 수소는 재순환이 가능하고, 환경에 미치는 영향이 적기 때문에 미래형 에너지원으로 각광을 받고 있다. 수소이용 기술 중 연료 전지는 에너지 변환효율이 높고 유해 배출물이 생성되지 않아 차세대 발전시스템으로 유망하지만 비용과 기술적 제약으로 단기간에 상용화하기에는 어려움이 있다. 따라서 저비용, 고효율의 수소에너지를 이용 할 수 있는 시스템 개발이 요구되고 있다. 리니어동력/발전시스템은 저비용으로 제작이 가능하고 기존 기술의 인프라를 활용할 수 있는 장정과, 크랭크 기구가 없기 때문에 얻어지는 변환손실, 열손실을 최소화 할 수 있는 효율의 장점 때문에 고효율의 수소 이용 기관으로 평가되고 있다. 본 연구에서는 수소이용 통력시스템의 직선운동을 전기적인 에너지로 변환 할 수 있는 고효율의 리니어 발전시스템 개발을 위해 Prototype의 평판형 및 원통형의 리니어발전기를 제작했고 각각의 성능에 대한 평가와 엔진과 발전기의 연계운전 결과를 비교하여 시스템 전체에 대한 성능예측을 했으며 연계운전을 통해 출력된 발전기의 출력파형을 PCS로 변환하여 정현파의 AC 출력을 얻었다.