Alkali removal with mineral sorbents – Part I: Sorption capacity and reaction kinetics.
Saved in:
| Title: | Alkali removal with mineral sorbents – Part I: Sorption capacity and reaction kinetics. |
|---|---|
| Authors: | Kerscher, Florian1 (AUTHOR) florian.kerscher@tum.de, Spliethoff, Hartmut1,2 (AUTHOR) |
| Source: | Powder Technology. Sep2021, Vol. 390, p190-196. 7p. |
| Subjects: | Chemical kinetics, Sorption, Sorbents, Alkalies, Flue gases, Minerals |
| Abstract: | Aluminosilicate sorbents show the potential to reduce alkali-related problems during solid fuel conversion such as deposit build-up and corrosion damages. The alkali capacity, the reaction kinetics and the surface area development of the sorbents under operating conditions are essential parameters for the mathematical description of the alkali sorption. In this work, three sorbents, kaolin, bauxite and bentonite, are characterized in this regard by thermogravimetric analysis. The sorption behavior of kaolin surpasses the other sorbents due to the highest loading capacity and the temperature-stability of the porous structure. However, the suitability as sorbent in solid fuel conversion processes is given for all materials. A mathematical sorption model is applied to the experimental data in order to derive kinetic parameters of the sodium and potassium sorption under syngas and flue gas atmosphere. Thus, this work provides the necessary dataset for the design and optimization of the sorbent use in industrial processes. [Display omitted] • Characterization and modelling of the alkali capture behavior of mineral sorbents. • Determination of the maximum alkali loading, reaction rates and surface area. • Sorption behavior of kaolin shows good suitability for industrial application. • Derivation of kinetic parameters provides database for modelling the alkali sorption. [ABSTRACT FROM AUTHOR] |
| Copyright of Powder Technology is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
Be the first to leave a comment!
