Samenvatting
The distribution of catalytically active species in heterogeneous porous catalysts strongly influences their performance and durability in industrial reactors. A drying model for investigating this redistribution was developed and implemented using the finite volume method. This model embeds an analytical approach regarding the permeability and capillary pressure from arbitrary pore size distributions. Subsequently, a set of varying pore size distributions are investigated, and their impact on the species redistribution during drying is quantified. It was found that small amounts of large pores speed up the drying process and reduce internal pressure build up significantly while having a negligible impact on the final distribution of the catalytically active species. By further increasing the amount of large pores, the accumulation of species at the drying surface is facilitated.
Originele taal-2 | Engels |
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Pagina's (van-tot) | 20006-20016 |
Aantal pagina's | 11 |
Tijdschrift | Industrial and Engineering Chemistry Research |
Volume | 62 |
Nummer van het tijdschrift | 46 |
Vroegere onlinedatum | 14 nov. 2023 |
DOI's | |
Status | Gepubliceerd - 22 nov. 2023 |
Financiering
This work is part of the Advanced Research Center for Chemical Building Blocks, ARC CBBC, which is cofounded and cofinanced by the Dutch Research Council (NWO) and The Netherlands Ministry of Economic Affairs and Climate Policy.
Financiers | Financiernummer |
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Advanced Research Center for Chemical Building Blocks | |
Ministerie van Economische Zaken en Klimaat | |
Australian Research Council | |
Nederlandse Organisatie voor Wetenschappelijk Onderzoek |
Vingerafdruk
Duik in de onderzoeksthema's van 'Modeling the Drying Process of Porous Catalysts: Impact of the Pore Size Distribution'. Samen vormen ze een unieke vingerafdruk.Datasets
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Data underlying: Modeling the Drying Process of Porous Catalysts - Impact of the Pore Size Distribution
Rieder, D. R. (Ontwerper), Peters, E. A. J. F. (Ontwerper) & Kuipers, J. A. M. (Ontwerper), 4TU.Centre for Research Data, 16 nov. 2023
DOI: 10.4121/b62c98f8-be8c-4a4a-9d7f-b25915d47745, https://data.4tu.nl/datasets/b62c98f8-be8c-4a4a-9d7f-b25915d47745 en nog één link, https://data.4tu.nl/datasets/b62c98f8-be8c-4a4a-9d7f-b25915d47745/1 (minder tonen)
Dataset