Advanced integration strategies and machine learning-based superstructure optimization for Power-to-Methanol
The Power-to-methanol (PtMe) process faces significant challenges, including high production costs, low energy efficiency, and a lack of systematic and applicable integrated design and superstructure optimization methods. This study proposes advanced integration and machine learning (ML)-based super...
Main Authors: | Vo, Dat-Nguyen, Qi, Meng, Lee, Chang-Ha, Yin, Xunyuan |
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Other Authors: | School of Chemistry, Chemical Engineering and Biotechnology |
Format: | Journal Article |
Language: | English |
Published: |
2025
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Subjects: | |
Online Access: | https://hdl.handle.net/10356/181957 |
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