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Abstract There are several options for biomass valorization, either for value-added products manufacturing or for heat and power generation. Among the various concepts, gasification-based pathways attract a lot of interest, mainly because all the biomass components that consist of C and H can be converted into syngas, which in turn can be valorized for various applications. Many numerical studies on steady state process modeling have been performed to simulate the complex processes and to propose novel concepts for the effective design of a gasification-based route. However, dynamic process modeling is an important numerical tool providing a deeper understanding of the behavior of each process step under unsteady conditions and the potential to develop an appropriate control strategy. A review of the dynamic modeling approaches and the control strategies for the main process sections of biomass thermochemical conversion, either via gasification or through direct combustion, was undertaken. Methodologies towards the proper control of the main units, the different tools and platforms that are used for the dynamic modeling and the control system design are presented and analyzed. Finally, the challenges that need to be overcome for the plantwide control of the thermochemically based systems are discussed.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 45 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 1% |
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