Air catalytic biomass (PKS) gasification in a fixed-bed downdraft gasifier using waste bottom ash as catalyst with NARX neural network modelling
<p dir="ltr">The air gasification of Palm Kernel Shells (PKS) using coal bottom ash (CBA) as a catalyst has been performed in a fixed-bed gasifier. The impact of three process parameters, namely, temperature (575–775°C), air flowrate (1.5–45 litter/min) and catalyst loading (0–30 wt....
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2020
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| _version_ | 1864513552591618048 |
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| author | Muhammad Shahbaz (772838) |
| author2 | Syed Ali Ammar Taqvi (12045005) Muddasser Inayat (17092918) Abrar Inayat (17092921) Shaharin A. Sulaiman (17092924) Gordon McKay (1755814) Tareq Al-Ansari (9872268) |
| author2_role | author author author author author author |
| author_facet | Muhammad Shahbaz (772838) Syed Ali Ammar Taqvi (12045005) Muddasser Inayat (17092918) Abrar Inayat (17092921) Shaharin A. Sulaiman (17092924) Gordon McKay (1755814) Tareq Al-Ansari (9872268) |
| author_role | author |
| dc.creator.none.fl_str_mv | Muhammad Shahbaz (772838) Syed Ali Ammar Taqvi (12045005) Muddasser Inayat (17092918) Abrar Inayat (17092921) Shaharin A. Sulaiman (17092924) Gordon McKay (1755814) Tareq Al-Ansari (9872268) |
| dc.date.none.fl_str_mv | 2020-11-02T00:00:00Z |
| dc.identifier.none.fl_str_mv | 10.1016/j.compchemeng.2020.107048 |
| dc.relation.none.fl_str_mv | https://figshare.com/articles/journal_contribution/Air_catalytic_biomass_PKS_gasification_in_a_fixed-bed_downdraft_gasifier_using_waste_bottom_ash_as_catalyst_with_NARX_neural_network_modelling/24242494 |
| dc.rights.none.fl_str_mv | CC BY 4.0 info:eu-repo/semantics/openAccess |
| dc.subject.none.fl_str_mv | Engineering Chemical engineering Information and computing sciences Artificial intelligence Air gasification Catalyst loading NARX neural network Time series modelling Higher heating value |
| dc.title.none.fl_str_mv | Air catalytic biomass (PKS) gasification in a fixed-bed downdraft gasifier using waste bottom ash as catalyst with NARX neural network modelling |
| dc.type.none.fl_str_mv | Text Journal contribution info:eu-repo/semantics/publishedVersion text contribution to journal |
| description | <p dir="ltr">The air gasification of Palm Kernel Shells (PKS) using coal bottom ash (CBA) as a catalyst has been performed in a fixed-bed gasifier. The impact of three process parameters, namely, temperature (575–775°C), air flowrate (1.5–45 litter/min) and catalyst loading (0–30 wt.%) has been investigated on the product gas yield. The composition of the H<sub>2</sub> product is computed to be a maximum of 28 vol.% at 875°C. The air flowrate has a direct relation with H<sub>2</sub> production. The catalysts used have demonstrated a positive impact on the carbon conversion efficiency, showing the increase in carbon-containing gases in the product gas due to the increases in gas yield. A Non-linear Autoregressive Network with exogenous inputs (NARX) neural network has been used to predict the gaseous flowrate dynamically in order to improve gasification performance. The predicted results from the NARX network demonstrate good agreement with the experimental study with <i>R</i><sup>2</sup> ≥ 0.99.</p><h2>Other Information</h2><p dir="ltr">Published in: Computers & Chemical Engineering<br>License: <a href="http://creativecommons.org/licenses/by/4.0/" target="_blank">http://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.1016/j.compchemeng.2020.107048" target="_blank">https://dx.doi.org/10.1016/j.compchemeng.2020.107048</a></p> |
| eu_rights_str_mv | openAccess |
| id | Manara2_4aa29c068de51e5023c49e3853eaf247 |
| identifier_str_mv | 10.1016/j.compchemeng.2020.107048 |
| network_acronym_str | Manara2 |
| network_name_str | Manara2 |
| oai_identifier_str | oai:figshare.com:article/24242494 |
| publishDate | 2020 |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| rights_invalid_str_mv | CC BY 4.0 |
| spelling | Air catalytic biomass (PKS) gasification in a fixed-bed downdraft gasifier using waste bottom ash as catalyst with NARX neural network modellingMuhammad Shahbaz (772838)Syed Ali Ammar Taqvi (12045005)Muddasser Inayat (17092918)Abrar Inayat (17092921)Shaharin A. Sulaiman (17092924)Gordon McKay (1755814)Tareq Al-Ansari (9872268)EngineeringChemical engineeringInformation and computing sciencesArtificial intelligenceAir gasificationCatalyst loadingNARX neural networkTime series modellingHigher heating value<p dir="ltr">The air gasification of Palm Kernel Shells (PKS) using coal bottom ash (CBA) as a catalyst has been performed in a fixed-bed gasifier. The impact of three process parameters, namely, temperature (575–775°C), air flowrate (1.5–45 litter/min) and catalyst loading (0–30 wt.%) has been investigated on the product gas yield. The composition of the H<sub>2</sub> product is computed to be a maximum of 28 vol.% at 875°C. The air flowrate has a direct relation with H<sub>2</sub> production. The catalysts used have demonstrated a positive impact on the carbon conversion efficiency, showing the increase in carbon-containing gases in the product gas due to the increases in gas yield. A Non-linear Autoregressive Network with exogenous inputs (NARX) neural network has been used to predict the gaseous flowrate dynamically in order to improve gasification performance. The predicted results from the NARX network demonstrate good agreement with the experimental study with <i>R</i><sup>2</sup> ≥ 0.99.</p><h2>Other Information</h2><p dir="ltr">Published in: Computers & Chemical Engineering<br>License: <a href="http://creativecommons.org/licenses/by/4.0/" target="_blank">http://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.1016/j.compchemeng.2020.107048" target="_blank">https://dx.doi.org/10.1016/j.compchemeng.2020.107048</a></p>2020-11-02T00:00:00ZTextJournal contributioninfo:eu-repo/semantics/publishedVersiontextcontribution to journal10.1016/j.compchemeng.2020.107048https://figshare.com/articles/journal_contribution/Air_catalytic_biomass_PKS_gasification_in_a_fixed-bed_downdraft_gasifier_using_waste_bottom_ash_as_catalyst_with_NARX_neural_network_modelling/24242494CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/242424942020-11-02T00:00:00Z |
| spellingShingle | Air catalytic biomass (PKS) gasification in a fixed-bed downdraft gasifier using waste bottom ash as catalyst with NARX neural network modelling Muhammad Shahbaz (772838) Engineering Chemical engineering Information and computing sciences Artificial intelligence Air gasification Catalyst loading NARX neural network Time series modelling Higher heating value |
| status_str | publishedVersion |
| title | Air catalytic biomass (PKS) gasification in a fixed-bed downdraft gasifier using waste bottom ash as catalyst with NARX neural network modelling |
| title_full | Air catalytic biomass (PKS) gasification in a fixed-bed downdraft gasifier using waste bottom ash as catalyst with NARX neural network modelling |
| title_fullStr | Air catalytic biomass (PKS) gasification in a fixed-bed downdraft gasifier using waste bottom ash as catalyst with NARX neural network modelling |
| title_full_unstemmed | Air catalytic biomass (PKS) gasification in a fixed-bed downdraft gasifier using waste bottom ash as catalyst with NARX neural network modelling |
| title_short | Air catalytic biomass (PKS) gasification in a fixed-bed downdraft gasifier using waste bottom ash as catalyst with NARX neural network modelling |
| title_sort | Air catalytic biomass (PKS) gasification in a fixed-bed downdraft gasifier using waste bottom ash as catalyst with NARX neural network modelling |
| topic | Engineering Chemical engineering Information and computing sciences Artificial intelligence Air gasification Catalyst loading NARX neural network Time series modelling Higher heating value |