Wang, Shule and Wang, Yiying and Shi, Ziyi and Sun, Kang and Wen, Yuming and Niedzwiecki, Lukasz and Pan, Ruming and Xu, Yongdong and Zaini, Ilman Nuran and Jagodzinska, Katarzyna and Aragon-Briceno, Christian and Tang, Chuchu and Onsree, Thossaporn and Tippayawong, Nakorn and Pawlak-Kruczek, Halina and Jonsson, Par Goran and Yang, Weihong and Jiang, Jianchun and Kawi, Sibudjing and Wang, Chi-Hwa (2023) Van Krevelen diagrams based on machine learning visualize feedstock-product relationships in thermal conversion processes. Communications Chemistry, 6 (1). ISSN 2399-3669, DOI https://doi.org/10.1038/s42004-023-01077-z.
Full text not available from this repository.Abstract
Feedstock properties play a crucial role in thermal conversion processes, where understanding the influence of these properties on treatment performance is essential for optimizing both feedstock selection and the overall process. In this study, a series of van Krevelen diagrams were generated to illustrate the impact of H/C and O/C ratios of feedstock on the products obtained from six commonly used thermal conversion techniques: torrefaction, hydrothermal carbonization, hydrothermal liquefaction, hydrothermal gasification, pyrolysis, and gasification. Machine learning methods were employed, utilizing data, methods, and results from corresponding studies in this field. Furthermore, the reliability of the constructed van Krevelen diagrams was analyzed to assess their dependability. The van Krevelen diagrams developed in this work systematically provide visual representations of the relationships between feedstock and products in thermal conversion processes, thereby aiding in optimizing the selection of feedstock and the choice of thermal conversion technique. Feedstock properties play a crucial role in thermal conversion processes for power generation, fuel production, or chemical synthesis, but understanding the influence of these many properties on treatment performance is a complex task. Here, a series of van Krevelen diagrams were generated to illustrate the impact of H/C and O/C ratios of feedstock on the products obtained from six commonly used thermochemical processes.
| Item Type: | Article |
|---|---|
| Funders: | UNSPECIFIED |
| Subjects: | T Technology > T Technology (General) T Technology > TA Engineering (General). Civil engineering (General) T Technology > TJ Mechanical engineering and machinery T Technology > TP Chemical technology |
| Divisions: | Faculty of Creative Arts (formerly known as the Cultural Centre) |
| Depositing User: | Ms. Juhaida Abd Rahim |
| Date Deposited: | 09 Sep 2025 04:32 |
| Last Modified: | 09 Sep 2025 04:32 |
| URI: | http://eprints.um.edu.my/id/eprint/50573 |
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