Physics-informed design of PV coupled alkaline water electrolysis with battery energy storage under fluctuating power through dynamic modeling
2026 · Energy
저자
Jinyoung Ham, Bobby Laviguer, Dohyung Jang, Haeseong Shin, Jack Brouwer, 강상규 (Sanggyu Kang)
연구주제
Hybrid Renewable Energy Systems · Integrated Energy Systems Optimization
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
알칼라인 수전해 battery energy storage 그린수소 생산 태양광 구동 수전해(PV-EC)
키워드 (OpenAlex)
alkaline water electrolysis battery energy storage green hydrogen renewable energy curtailment system efficiency decision procedures
초록
Expanding renewable energy is essential for sustainability, but fluctuating power sources pose significant challenges to the stability of green hydrogen systems. Although PV coupled water electrolyzer systems are often designed using conventional techno-economic metrics, such approaches neglect dynamic electrochemical and thermal responses under variable power operation. This study develops a physics-based dynamic model for a PV coupled alkaline water electrolysis and battery system. The model resolves coupled dynamics across the stack and the balance of plant. Twelve scenarios are proposed to examine the impact of physically informed considerations on system design. Each scenario is evaluated using three decision-making methods, comparing a conventional indicator set with an augmented set that includes physically informed indicators. The conventional indicators include LCOH, curtailment…
이 논문을 지원한 국가R&D 과제 (NTIS 성과)
NTIS 성과DB(2020–24)에서 DOI 매칭 없음
인접 그래프
노드 hover = 이웃 강조 · 1회 클릭 = 고정 · 고정된 노드 다시 클릭 = 페이지 이동
이 문서와 연결된 페이지
교수 1
연구주제 1
Hybrid Renewable Energy Systems
정책분야 1
키워드 3
알칼라인 수전해 · 그린수소 생산 · 태양광 구동 수전해(PV-EC)