• Title/Summary/Keyword: 수전해 플랜트

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관련단체-고등기술연구원

  • Korean association for escos
    • The Magazine for Energy Service Companies
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    • s.46
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    • pp.64-65
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    • 2007
  • 고등기술연구원 플랜트엔지니어링센터에서는 10년이상 축적된 기반기술과 연구 설비를 환경 및 에너지 분야의 다양한 플랜트에 적용하고 있으며, 고부가가치 창출물 목표로 대기업 및 중소기업을 지원하고 있다. 석탄과 중질잔사유 등 다양한 원료의 가스화와 액화기술 개발 및 열분해/가스화 용융기술의 광범위한 적용을 통하여 생활/산업 폐기물을 환경에 적합하게 처리할 수 있는 공정기술 개발을 하고 있다. 또한 플랜트의 설계/건설/시운전까지 종합한 turn-key서비스를 제공하고 있다. 뿐만 아니라 차세대에너지원인 수소제조를 위한 고온 수전해 전극개발 및 지구온난화 가스를 저감하는 촉매와 공정기술계발, 환경에너지 분야에 대한중소기업 기술지원에도 중점을 두고 있다. 고온고압의 석탄가스화 연구로부터 축적된 가스화용융에 대한 기반기술을 하수슬러지 및 생활폐기물 처리에 성공적으로 적용하여,2003년 1뭘과 12월에 환경부 신기술을 각각 지정 받은 바 있다.

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Current Status of Water Electrolysis Technology and Large-scale Demonstration Projects in Korea and Overseas (국내외 수전해 기술 및 대규모 실증 프로젝트 진행 현황)

  • JONGMIN BAEK;SU HYUN KIM
    • Transactions of the Korean hydrogen and new energy society
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    • v.35 no.1
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    • pp.14-26
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    • 2024
  • Global efforts continue with the goal of transition to a "carbon neutral (net zero)" society with zero carbon emissions by 2050. For this purpose, the technology of water electrolysis is being developed, which can store electricity generated from renewable energies in large quantities and over a long period of time as hydrogen. Recently, various research and large-scale projects on 'green hydrogen', which has no carbon emissions, are being conducted. In this paper, a comparison of water electrolysis technologies was carried out and, based on data provided by the International Energy Agency (IEA), large-scale water electrolysis demonstration projects were analyzed by classifying them by technology, power supply, country and end user. It is expected that through the analysis of large-scale water electrolysis demonstration projects, research directions and road maps can be provided for the development/implementation of commercial projects in the future.

Predicting Initial Construction Costs of Electrolysis Hydrogen Production Plants for Building Sustainable Energy Systems (지속 가능한 에너지 시스템 구축을 위한 전기분해 수소 생산 플랜트 초기 건설비용 예측)

  • SUNGWOOK KANG;JOONHEON KIM;JONGHWA PARK;DAEMYEONG CHO
    • Transactions of the Korean hydrogen and new energy society
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    • v.35 no.3
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    • pp.257-268
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    • 2024
  • Hydrogen serves as a clean energy source with potential applications across various sectors including electricity, transportation, and industry. In terms of policy and economic support, governmental policy backing and economic incentives are poised to accelerate the commercialization and expansion of hydrogen energy technologies. Hydrogen energy is set to become a cornerstone for a sustainable future energy system. Additionally, when constructing hydrogen production plants, economic aspects must be considered. The essence of hydrogen production plants lies in the electrolysis of water, a process that separates water into hydrogen and oxygen using electrical energy. The initial capital expenditure (CAPEX) for hydrogen production plants can vary depending on the electrolysis technology employed. This study aims to provide a comprehensive understanding of hydrogen production technologies as well as to propose a method for predicting the CAPEX of hydrogen production plants.

Environmental Noise Prediction for Large Power Plant and Desalination Plant (대형 발전/담수 플랜트의 환경소음 해석 및 평가)

  • Song, Keun-Bok;Kim, Dong-Hae
    • Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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    • 2008.04a
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    • pp.345-349
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    • 2008
  • In this paper, environmental noise analysis was performed for large power plant and desalination plant. Ray tracing method was used to predict inside noise of turbine building. It is important to design the plant with the allowable noise level. To improve the accuracy, main noise sources were estimated based on the field data. As the results of analysis, it was concluded that noise levels slightly exceed the specified noise limit in turbine building inside. In order to reduce the noise level, adding sound-absorbing materials to inside wall of turbine building was suggested and verified with the confirmed analysis model.

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