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Development of efficient low-cost SOFC/SOEC protonic cathodes for reliable energy distribution
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- Kwati Leonard
- Principal Investigator
- 九州大学
About This Project
- Japan Grant Number
- JP19K05672 (JGN)
- Funding Program
- Grants-in-Aid for Scientific Research
- Funding Organization
- Japan Society for the Promotion of Science
Kakenhi Information
- Project/Area Number
- 19K05672
- Research Category
- Grant-in-Aid for Scientific Research (C)
- Allocation Type
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- Multi-year Fund
- Review Section / Research Field
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- Basic Section 36020:Energy-related chemistry
- Research Institution
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- Kyushu University
- Project Period (FY)
- 2019-04-01 〜 2025-03-31
- Project Status
- Completed
- Budget Amount*help
- 4,420,000 Yen (Direct Cost: 3,400,000 Yen Indirect Cost: 1,020,000 Yen)
Research Abstract
Development of efficient low-cost SOFC/SOEC protonic cathodes for reliable energy distribution. I will synthesize and evaluate, robust highly active mixed protonic /electronic conducting cathode materials for operation at 600 ~ 400 °C, by investigating the synergistic effect of co-doping niobium (Nb5+), tantalum (Ta5+) and/or Zn2+, Sc3+ on the B-site of cation-ordered double perovskite, in an effort to enhance hydrogen incorporation and to create channels for fast diffusion. Research these cathodes will improve cell reliability, reduce costs and expedite commercialization of SOFC/SOEC
Keywords
- air electrode
- protonic electrolyte
- Catalytic activity
- steam electrolysis cell
- fuel cell
- hydrogen
- hydration
- proton kinetics
- protonic electrode
- steam electrolysis
- catalytic activity
- Protonic defects
- ionic transport
- Triple conducting
- Fuel cell
- Electrolysis
- protonic air electrode
- mixed conductivity
- Electrolysis cell
- Air electrode
- Ionic transport
- protonic defects
- oxygen vacancies
- protonic cathode
- electrolysis cell
- reliable energy
- low cost
- proton transport
- robust air electrodes
- Proton conductor
- SOFC/SOEC
- sustainable Energy
Details 詳細情報について
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- CRID
- 1040282256994769792
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- Text Lang
- ja
-
- Data Source
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- KAKEN
- IRDB
