SNUEI

Optimization of an ion transport membrane reactor system for syngas production

2022 · Energy Reports

저자

Dong‐Hwan Shin, 강상규 (Sanggyu Kang)

연구주제

Advancements in Solid Oxide Fuel Cells · Membrane Separation and Gas Transport · Catalysts for Methane Reforming

NTIS 과학기술표준분류

에너지/자원만에너지·환경·원자력 확장

에너지/자원 > 신재생에너지 > 수소에너지 외

배정 근거: AI 키워드가 잡은 NTIS 과제의 분류(정책 연계 맵과 같은 방법).

AI 연구 키워드·방법

ion transport membrane reactor 합성가스 생산

수치 시뮬레이션 최적화

키워드 (OpenAlex)

syngas production power consumption optimization oxygen partial pressure gradient oxygen permeability air flow rate operating map two-dimensional reactor model system design

초록

Ion transport membrane (ITM) reactor has been regarded as a promising novel technology for syngas production. To commercialize this technology, overall system designs and operating conditions should be optimized. In this study, a mathematical analysis of the ITM reactor system has been performed using Aspen Plus® to optimize its operations. Two-dimensional ITM reactor model developed in our previous study has been integrated into a system model to capture the system performance. The effects of air flow rates and gas inlet temperatures, which are the dominant factors determining both the ITM reactor performance and the system power consumption, have been investigated. To optimize the ITM reactor system, overall system power consumptions have been analyzed under various operating conditions. An optimal operation map has been presented that minimizes the power consumption and maximizes the …

이 논문을 지원한 국가R&D 과제 (NTIS 성과)

연도과제부처사업수행기관NTIS 분류(1순위)
2022친환경 디지털 조선해양 교육연구단교육부4단계두뇌한국21사업(R&D)서울대학–

인접 그래프

노드 hover = 이웃 강조 · 1회 클릭 = 고정 · 고정된 노드 다시 클릭 = 페이지 이동

이 문서와 연결된 페이지

교수 1

강상규

연구주제 1

Advancements in Solid Oxide Fuel Cells

정책분야 1

신재생에너지

키워드 1

합성가스 생산

방법 2

최적화 · 수치 시뮬레이션