Superstructure design, data-driven mixed-integer optimization, and guidelines for techno-economic-environmental enhancement of blended amine-based CO2 capture in natural gas combined cycle power plants

• Main Authors: Vo, Dat-Nguyen, Zhang, Zhiwei, Yin, Xunyuan
• 其他作者: School of Chemistry, Chemical Engineering and Biotechnology
• 格式: Article
• 語言: English
• 出版: 2025
• 主題: Engineering; Data-driven mixed-integer optimization; NGCC power plant
• 在線閱讀: https://hdl.handle.net/10356/184153

Blended amine-based post-combustion CO2 capture (PCC) for natural gas combined cycle (NGCC) power plants lack efficient superstructure design, viable mixed-integer optimization approach, and practical guidelines to reduce capture cost, heating energy consumption, and amine emissions. This study intr...