• Title/Summary/Keyword: Hydrogen refueling stations

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Durability Assessment by Structural and Fatigue Analysis of Flow Control Valves (FCVs) for Hydrogen Refueling Stations (수소 충전소용 유량제어밸브(FCV)의 구조 및 피로해석을 통한 내구 성능 평가)

  • CHOI, INHO;HA, TAE IL;KIM, HAN SANG
    • Transactions of the Korean hydrogen and new energy society
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    • v.33 no.3
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    • pp.240-246
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    • 2022
  • This study was conducted to develop a domestic product for a flow control valve for a hydrogen refueling station, and a domestic prototype was manufactured and the durability performance evaluation was conducted through comparison with an imported products. The stress generated by the internal pressure was checked and safety was confirmed using a commercial structural analysis program, ABAQUS, in accordance with the withstand pressure test standards. In addition, after identifying the weak areas the fatigue life was predicted through a commercial software, fe-safe. This fatigue analysis showed that the hydrogen gas repeated test criteria were satisfied.

Current Status of Standardization for Quality Control of Hydrogen Fuel in Hydrogen Refueling Stations for Fuel Cell Electric Vehicles (수소충전소 내 연료전지용 수소연료 품질 관리 및 표준화 동향)

  • KIM, DONGKYUM;LIM, JEONG SIK;LEE, JEONGSOON
    • Transactions of the Korean hydrogen and new energy society
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    • v.33 no.4
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    • pp.284-292
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    • 2022
  • Hydrogen is promising a candidate for energy supporting the carbon neutrality policy for greenhouse gas reduction, which is being promoted in several countries, including Korea. Although challenging efforts-such as lowering the costs of green hydrogen production and fuel cells-remain, hydrogen fuel cell electric vehicles (FCEVs) are expected to play a significant role in the energy transition from fossil fuels to renewable energy. In line with this objective, the hydrogen FCEV working group in the International Organization for Standardization (ISO) compiled and revised international standards related to hydrogen refueling stations as of 2019. A well-established hydrogen quality management system based on the standard documents will increase the reliability of hydrogen charging stations and accelerate the use of FCEVs. In this study, among the published ISO standards and other references, the main requirements for managing charging stations and developing related techniques were summarized and explained. To respond preemptively to the growing FCEV market, a continuous hydrogen quality monitoring method suitable for use at hydrogen charging stations was proposed.

A study of jet dispersion and jet-fire characteristics for safety distance of the hydrogen refueling station (수소충전소 안전거리 설정을 위한 수소제트 및 화염 특성 분석)

  • Kang, Seung-Kyu
    • Journal of the Korean Institute of Gas
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    • v.23 no.6
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    • pp.74-80
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    • 2019
  • Hydrogen refueling stations that use compressed hydrogen at high pressure provide safety distances between facilities in order to ensure safety. Most accidents occurring in hydrogen stations are accidental leaks. When a leak occurs, various types of ignition sources generate a jet flame. Therefore, the analysis of leaked gas diffusion and jet flame due to high pressure hydrogen leakage is one of the most important factor for setting the safety distance. In this study, the leakage accidents that occur in the hydrogen refueling station operated in high pressure environment are simulated for various leakage source sizes. The results of this study will be used as a reference for the future safety standards.

A Machine Learning based Methodology for Selecting Optimal Location of Hydrogen Refueling Stations (수소 충전소 최적 위치 선정을 위한 기계 학습 기반 방법론)

  • Kim, Soo Hwan;Ryu, Jun-Hyung
    • Korean Chemical Engineering Research
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    • v.58 no.4
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    • pp.573-580
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    • 2020
  • Hydrogen emerged as a sustainable transport energy source. To increase hydrogen utilization, hydrogen refueling stations must be available in many places. However, this requires large-scale financial investment. This paper proposed a methodology for selecting the optimal location to maximize the use of hydrogen charging stations. The location of gas stations and natural gas charging stations, which are competing energy sources, was first considered, and the expected charging demand of hydrogen cars was calculated by further reflecting data such as population, number of registered vehicles, etc. Using k-medoids clustering, one of the machine learning techniques, the optimal location of hydrogen charging stations to meet demand was calculated. The applicability of the proposed method was illustrated in a numerical case of Seoul. Data-based methods, such as this methodology, could contribute to constructing efficient hydrogen economic systems by increasing the speed of hydrogen distribution in the future.

Development of Accident Scenarios for Hydrogen Refueling Station and Fuel Cell Vehicle (수소충전소 및 수소자동차의 사고 시나리오 개발)

  • Byoungjik Park;Yangkyun Kim;Ohk Kun Lim
    • Journal of Auto-vehicle Safety Association
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    • v.15 no.1
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    • pp.27-34
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    • 2023
  • The registration rate of eco-friendly vehicles, such as hydrogen vehicles, is increasing rapidly, however, few first responders have experienced related accidents. Accident scenarios at hydrogen refueling stations and hydrogen vehicles on a road were investigated, and the relative importance of each scenario was analyzed using AHP analysis. Leakage, jet flame, and explosion that occurred inside and outside the hydrogen refueling station were reviewed, and the hydrogen gas explosion in the compartment showed the highest importance value. In case of the hydrogen vehicle, traffic accident statistics and actual accidents were used. It was analyzed that the hydrogen vessel explosion on the road due to the failure of TPRD and the leakage in the underground parking area were difficult to respond. The developed accident scenarios are expected to be used for first responder training.

A Study on the Analysis of Risk Factors for Hydrogen Fuel Stations Based on Quantitative Risk Assessment (정량적 위험성평가 기반 수소충전소 위험요소 분석 연구)

  • Lee, Jae Yong;Lee, Jieun;Song, Hyoungwoon
    • Journal of the Korean Institute of Gas
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    • v.24 no.6
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    • pp.70-76
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    • 2020
  • In this study, we suggested the direction to lower the risk by analyzing the risk factors for each process for the hydrogen refueling station to be installed in Chungju. HyRAM, one of the quantitative risk assessment tools for hydrogen gas, was used to analyze the hazards. By evaluating the frequency of accidents and consequences for each process, the most dangerous processes and accident factors were presented, and the risk mitigation factors were synthesized. Hydrogen refueling stations are currently in the global infrastructure expansion period, and the lack of accident data could be an alternative to this risk assessment and is expected to be used as a reference for the future expansion of hydrogen refueling stations.

Exergy Analysis and Heat Exchanger Network Synthesis for Improvement of a Hydrogen Production Process: Practical Application to On-Site Hydrogen Refueling Stations (수소 생산 공정 개선을 위한 엑서지 분석과 열 교환망 합성: 분산형 수소 충전소에 대한 실용적 적용)

  • YUN, SEUNGGWAN;CHO, HYUNGTAE;KIM, MYUNGJUN;LEE, JAEWON;KIM, JUNGHWAN
    • Transactions of the Korean hydrogen and new energy society
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    • v.33 no.5
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    • pp.515-524
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    • 2022
  • In this study, the on-site hydrogen production process for refueling stations that were not energy-optimized was improved through exergy analysis and heat exchange network synthesis. Furthermore, the process was scaled up from 30 Nm3/h to 150 Nm3/h to improve hydrogen production capacity. Exergy analysis results show that exergy destruction in the SMR reactor and the heat exchanger accounts for 58.1 and 19.8%, respectively. Thus, the process is improved by modifying the heat exchange network to reduce the exergy loss in these units. As a result of the process simulation analysis, thermal and exergy efficiency is improved from 75.7 to 78.6% and 68.1 to 70.4%, respectively. In conclusion, it is expected to improve the process efficiency when installing on-site hydrogen refueling stations.

A Study on Site to Build Hydrogen Multi Energy Filling Station in Domestic LPG Station (국내 LPG 충전소 내 수소 융·복합충전소 구축 가능 부지 연구)

  • PARK, JIWON;HUH, YUNSIL;KANG, SEUNGKYU
    • Transactions of the Korean hydrogen and new energy society
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    • v.28 no.6
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    • pp.642-648
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    • 2017
  • The use of fossil is causing enviromental all over the world. So hydrogen energy is attracting attention as one of the alternative. The government announced that 30% of the air pollution is because of the Internal Combustion Engine Vehicle. In addition, they plans to reduce Internal Combustion Engine Vehicles by 2030 and increase (electric vehicles, EV) or (fuel cell vehicle, FCV). The FCV is evaluated as a next-generation green car because it has a long driving distance and short charging time. However, the hydrogen industry is not able to expand due to the lack of refueling infrastrucutre. This paper predicts the site of hydrogen refueling stations for the expansion of the hydrogen industry and proposes a method to supply hydrogen multi energy filling stations.

A Study on the Optimal Location Selection for Hydrogen Refueling Stations on a Highway using Machine Learning (머신러닝 기반 고속도로 내 수소충전소 최적입지 선정 연구)

  • Jo, Jae-Hyeok;Kim, Sungsu
    • Journal of Cadastre & Land InformatiX
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    • v.51 no.2
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    • pp.83-106
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    • 2021
  • Interests in clean fuels have been soaring because of environmental problems such as air pollution and global warming. Unlike fossil fuels, hydrogen obtains public attention as a eco-friendly energy source because it releases only water when burned. Various policy efforts have been made to establish a hydrogen based transportation network. The station that supplies hydrogen to hydrogen-powered trucks is essential for building the hydrogen based logistics system. Thus, determining the optimal location of refueling stations is an important topic in the network. Although previous studies have mostly applied optimization based methodologies, this paper adopts machine learning to review spatial attributes of candidate locations in selecting the optimal position of the refueling stations. Machine learning shows outstanding performance in various fields. However, it has not yet applied to an optimal location selection problem of hydrogen refueling stations. Therefore, several machine learning models are applied and compared in performance by setting variables relevant to the location of highway rest areas and random points on a highway. The results show that Random Forest model is superior in terms of F1-score. We believe that this work can be a starting point to utilize machine learning based methods as the preliminary review for the optimal sites of the stations before the optimization applies.

Parametric Study of Shape Design for Strength Performance Enhancement of Bellows in Hydrogen Compressor-embedded Refueling Tank (수소 압축기 내장형 충전 탱크의 벨로우즈 강도 성능 향상을 위한 형상 설계 파라미터 연구)

  • Ji-Hyoung Kim;Chang-Yong Song
    • Journal of the Korean Society of Industry Convergence
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    • v.27 no.1
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    • pp.39-46
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    • 2024
  • As the development of hydrogen vehicles has accelerated in recent years, it is necessary to develop a storage tank for hydrogen fueling stations capable of high-pressure charging, and for this purpose, a new system with a compressor-embedded refueling tank is required. In this study, the parametric study of shape design based on strength performance evaluation was carried out to find the optimal shape design of bellows, the core component of compressor-embedded refueling tank for a newly developed hydrogen refueling station capable of high-pressure charging above 1,000 bar. The design factors for parametric study were contour shape and radius of bellows, and the performance factors were the maximum stress and the gap distance in the contact direction. In the shape design of the compressor bellows for hydrogen refueling station considered in this study, it was found that adjusting the contour radius is an appropriate design method to improve the compression performance and structural safety.