Prediction of biogas production from chemically treated co-digested agricultural waste using artificial neural network
<p dir="ltr">The present study evaluates the effect of co-digestion of agricultural solid wastes (ASWs), cow manure (CM), and the application of chemical pre-treatment with NaHCO<sub>3</sub> on the performance of anaerobic digestion (AD) process. An Artificial neural netw...
محفوظ في:
| المؤلف الرئيسي: | |
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| منشور في: |
2020
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| الموضوعات: | |
| الوسوم: |
إضافة وسم
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| _version_ | 1864513558885171200 |
|---|---|
| author | Fares Almomani (12585685) |
| author_facet | Fares Almomani (12585685) |
| author_role | author |
| dc.creator.none.fl_str_mv | Fares Almomani (12585685) |
| dc.date.none.fl_str_mv | 2020-11-15T00:00:00Z |
| dc.identifier.none.fl_str_mv | 10.1016/j.fuel.2020.118573 |
| dc.relation.none.fl_str_mv | https://figshare.com/articles/journal_contribution/Prediction_of_biogas_production_from_chemically_treated_co-digested_agricultural_waste_using_artificial_neural_network/24249850 |
| dc.rights.none.fl_str_mv | CC BY 4.0 info:eu-repo/semantics/openAccess |
| dc.subject.none.fl_str_mv | Agricultural, veterinary and food sciences Animal production Engineering Chemical engineering Information and computing sciences Artificial intelligence Co-digestion Kinetic model Lignin degradation Biofuel potential Agricultural biomass |
| dc.title.none.fl_str_mv | Prediction of biogas production from chemically treated co-digested agricultural waste using artificial neural network |
| dc.type.none.fl_str_mv | Text Journal contribution info:eu-repo/semantics/publishedVersion text contribution to journal |
| description | <p dir="ltr">The present study evaluates the effect of co-digestion of agricultural solid wastes (ASWs), cow manure (CM), and the application of chemical pre-treatment with NaHCO<sub>3</sub> on the performance of anaerobic digestion (AD) process. An Artificial neural network (ANN) algorithm was developed to model and optimize the cumulative methane production (CMP) from ASWs, CM, and their mixture under mesophilic and thermophilic conditions. The results demonstrated that co-digestion of ASWs with CM with a ratio of 70% to 30% produced the highest CMP of 334 ± 4 NL/kgVS in comparison with 230 ± 10 NL/kgVS for mono-digested substrate. The CMP was the highest for the substrate with moisture content (%MC) in the range of 34% to 48%, and it decreased for %MC > 50%. The chemical treatment with NaHCO<sub>3</sub> improved the biodegradability of the substrate and increased the CMP by at least 43% with reference to the untreated substrate. An ANN model consists of three layers, 15 neutrons and 260 <i>epochs</i> accurately predict the CMP with 99.1% of data within ±10% deviation of the mean experimental value. The developed model can be used to forecast the CMP as a function of operating temperature, the substrate composition, and chemical dose, and can be used for scaling-up and cost analysis purposes.</p><h2>Other Information</h2><p dir="ltr">Published in: Fuel<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.fuel.2020.118573" target="_blank">https://dx.doi.org/10.1016/j.fuel.2020.118573</a></p> |
| eu_rights_str_mv | openAccess |
| id | Manara2_3a0380c7c294596705a32f4ea2318870 |
| identifier_str_mv | 10.1016/j.fuel.2020.118573 |
| network_acronym_str | Manara2 |
| network_name_str | Manara2 |
| oai_identifier_str | oai:figshare.com:article/24249850 |
| publishDate | 2020 |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| rights_invalid_str_mv | CC BY 4.0 |
| spelling | Prediction of biogas production from chemically treated co-digested agricultural waste using artificial neural networkFares Almomani (12585685)Agricultural, veterinary and food sciencesAnimal productionEngineeringChemical engineeringInformation and computing sciencesArtificial intelligenceCo-digestionKinetic modelLignin degradationBiofuel potentialAgricultural biomass<p dir="ltr">The present study evaluates the effect of co-digestion of agricultural solid wastes (ASWs), cow manure (CM), and the application of chemical pre-treatment with NaHCO<sub>3</sub> on the performance of anaerobic digestion (AD) process. An Artificial neural network (ANN) algorithm was developed to model and optimize the cumulative methane production (CMP) from ASWs, CM, and their mixture under mesophilic and thermophilic conditions. The results demonstrated that co-digestion of ASWs with CM with a ratio of 70% to 30% produced the highest CMP of 334 ± 4 NL/kgVS in comparison with 230 ± 10 NL/kgVS for mono-digested substrate. The CMP was the highest for the substrate with moisture content (%MC) in the range of 34% to 48%, and it decreased for %MC > 50%. The chemical treatment with NaHCO<sub>3</sub> improved the biodegradability of the substrate and increased the CMP by at least 43% with reference to the untreated substrate. An ANN model consists of three layers, 15 neutrons and 260 <i>epochs</i> accurately predict the CMP with 99.1% of data within ±10% deviation of the mean experimental value. The developed model can be used to forecast the CMP as a function of operating temperature, the substrate composition, and chemical dose, and can be used for scaling-up and cost analysis purposes.</p><h2>Other Information</h2><p dir="ltr">Published in: Fuel<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.fuel.2020.118573" target="_blank">https://dx.doi.org/10.1016/j.fuel.2020.118573</a></p>2020-11-15T00:00:00ZTextJournal contributioninfo:eu-repo/semantics/publishedVersiontextcontribution to journal10.1016/j.fuel.2020.118573https://figshare.com/articles/journal_contribution/Prediction_of_biogas_production_from_chemically_treated_co-digested_agricultural_waste_using_artificial_neural_network/24249850CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/242498502020-11-15T00:00:00Z |
| spellingShingle | Prediction of biogas production from chemically treated co-digested agricultural waste using artificial neural network Fares Almomani (12585685) Agricultural, veterinary and food sciences Animal production Engineering Chemical engineering Information and computing sciences Artificial intelligence Co-digestion Kinetic model Lignin degradation Biofuel potential Agricultural biomass |
| status_str | publishedVersion |
| title | Prediction of biogas production from chemically treated co-digested agricultural waste using artificial neural network |
| title_full | Prediction of biogas production from chemically treated co-digested agricultural waste using artificial neural network |
| title_fullStr | Prediction of biogas production from chemically treated co-digested agricultural waste using artificial neural network |
| title_full_unstemmed | Prediction of biogas production from chemically treated co-digested agricultural waste using artificial neural network |
| title_short | Prediction of biogas production from chemically treated co-digested agricultural waste using artificial neural network |
| title_sort | Prediction of biogas production from chemically treated co-digested agricultural waste using artificial neural network |
| topic | Agricultural, veterinary and food sciences Animal production Engineering Chemical engineering Information and computing sciences Artificial intelligence Co-digestion Kinetic model Lignin degradation Biofuel potential Agricultural biomass |