Investigating the Impacts of Feedstock Variability on a Carbon-Negative Autothermal Pyrolysis System Using Machine Learning
Feedstock properties impact the economic feasibility and sustainability of biorefinery systems. Scientists have developed pyrolysis kinetics, process, and assessment models that estimate the costs and greenhouse gas (GHG) emissions of various biorefineries. Previous studies demonstrate that feedstoc...
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| Principais autores: | , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
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Frontiers Media S.A.
2022-05-01
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| Series: | Frontiers in Climate |
| Assuntos: | |
| Acceso en liña: | https://www.frontiersin.org/articles/10.3389/fclim.2022.842650/full |
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