Comparative techno-economic analysis and optimization of CO2 liquefaction processes using Bayesian optimization
2026 · Computers & Chemical Engineering
저자
Sung Hyun Ju, Jisung Byun, Seokjin Yoon, Heesung Kim, Unpil Hwang, Minji Kim, Mina Kong, 이종민 (Jong Min Lee)
연구주제
Process Optimization and Integration · Carbon Dioxide Capture Technologies
NTIS 과학기술표준분류
배정 근거: 지원 과제·키워드 근거가 없어 AI가 논문 제목·초록을 읽고 고른 분류(정책 연계 맵과 같은 방법).
AI 연구 키워드·방법
이산화탄소 액화 exergy analysis 기술경제성 분석(TEA)
키워드 (OpenAlex)
CO2 liquefaction techno-economic analysis Bayesian optimization process optimization CO2 capture process design
초록
This study presents a comprehensive techno-economic and exergy efficiency analysis of CO2 liquefaction processes, integrating diverse structural configurations with an advanced black-box optimization. Unlike previous works limited to fixed process topologies, this research proposes a unified optimization framework that systematically explores open-loop, closed-loop, and open/closed-loop systems. By employing an automated Aspen Plus-Bayesian optimization interface, we simultaneously optimize the number of compression stages and operating parameters, overcoming the limitations of conventional trial-and-error approaches.The study evaluates performance across different product pressures (7.5 bar and 20 bar) and production capacities (1000, 2000, and 3000 TPD). Our analysis identified the open-loop system as cost-optimal for the 7.5 bar product, achieving levelized costs of $14.03-$12.63/tCO2…
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
Process Optimization and Integration