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Fuel Processing Technology
Article . 2020 . Peer-reviewed
License: Elsevier TDM
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Fuel Processing Technology
Article
License: CC BY
Data sources: UnpayWall
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Fuel Processing Technology
Article . 2020 . Peer-reviewed
http://dx.doi.org/10.1016/j.fu...
Article
License: Elsevier TDM
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Review on dynamic process modeling of gasification based biorefineries and bio-based heat & power plants

Authors: Atsonios, Konstantinos; Nesiadis, Athanasios; Detsios, Nikolaos; Koutita, Konstantina; Nikolopoulos, Nikos; Grammelis, Panagiotis;

Review on dynamic process modeling of gasification based biorefineries and bio-based heat & power plants

Abstract

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.

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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).
BIP!Citations provided by BIP!
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.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
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45
Top 10%
Top 10%
Top 1%
5
2
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