Multi-Layer Perceptron-Based Forecasting Model of Biomass and Coal Gasification
In the present work, the multi-layer perceptron neural network is applied to model biomass gasification in the fixed-bed downdraft gasifier. Therefore, the multi-layer perceptron neural network is implemented to analyze and predict the gas composition in the outlet flow of the gasifier concerning th...
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2022-07-01
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| Series: | Advances in Engineering and Intelligence Systems |
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| Online Access: | https://aeis.bilijipub.com/article_153091_3c603cd2a3381919e4e562f53ed63bd5.pdf |
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| author | Nikolaieva Oksana |
| author_facet | Nikolaieva Oksana |
| author_sort | Nikolaieva Oksana |
| collection | DOAJ |
| description | In the present work, the multi-layer perceptron neural network is applied to model biomass gasification in the fixed-bed downdraft gasifier. Therefore, the multi-layer perceptron neural network is implemented to analyze and predict the gas composition in the outlet flow of the gasifier concerning the CH4, CO2, H2 and CO concentrations. On the other hand, the input data for the prediction includes biomass element content (C,H, and O), the value of the ash and moisture contents, and the temperature of the reduction zone. Extensive values which are derived from the experimental data are used to train the Multi-Layer Perceptron Neural Network. The obtained results from the model prediction show a satisfying agreement with the empirical data. The result of statistical analysis in the case of R2 values for CH4 and CO is higher than 0.99, and for the CO2 and H2 is higher than 0.98, which shows a good agreement between the experimental and predicted data. Also, a comparative study between MLP and other well-known methods demonstrates the superiority of MLP for gasification yield prediction. Hence, this model can be a useful tool for the analysis and performance evaluation of the gasifier modules. |
| format | Article |
| id | doaj-art-6dd76a679c91427b876fa89780412541 |
| institution | Kabale University |
| issn | 2821-0263 |
| language | English |
| publishDate | 2022-07-01 |
| publisher | Bilijipub publisher |
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| series | Advances in Engineering and Intelligence Systems |
| spelling | doaj-art-6dd76a679c91427b876fa897804125412025-02-12T08:46:21ZengBilijipub publisherAdvances in Engineering and Intelligence Systems2821-02632022-07-0100102485610.22034/aeis.2022.344775.1023153091Multi-Layer Perceptron-Based Forecasting Model of Biomass and Coal GasificationNikolaieva Oksana0Department of Education and Pedagogical Sciences, Taras Shevchenko National University of Kyiv, Kyiv, 01033, UkraineIn the present work, the multi-layer perceptron neural network is applied to model biomass gasification in the fixed-bed downdraft gasifier. Therefore, the multi-layer perceptron neural network is implemented to analyze and predict the gas composition in the outlet flow of the gasifier concerning the CH4, CO2, H2 and CO concentrations. On the other hand, the input data for the prediction includes biomass element content (C,H, and O), the value of the ash and moisture contents, and the temperature of the reduction zone. Extensive values which are derived from the experimental data are used to train the Multi-Layer Perceptron Neural Network. The obtained results from the model prediction show a satisfying agreement with the empirical data. The result of statistical analysis in the case of R2 values for CH4 and CO is higher than 0.99, and for the CO2 and H2 is higher than 0.98, which shows a good agreement between the experimental and predicted data. Also, a comparative study between MLP and other well-known methods demonstrates the superiority of MLP for gasification yield prediction. Hence, this model can be a useful tool for the analysis and performance evaluation of the gasifier modules.https://aeis.bilijipub.com/article_153091_3c603cd2a3381919e4e562f53ed63bd5.pdfbiomass gasificationfixed-bed downdraft gasifiergas compositionmodel predictionmulti-layer perceptron neural network |
| spellingShingle | Nikolaieva Oksana Multi-Layer Perceptron-Based Forecasting Model of Biomass and Coal Gasification Advances in Engineering and Intelligence Systems biomass gasification fixed-bed downdraft gasifier gas composition model prediction multi-layer perceptron neural network |
| title | Multi-Layer Perceptron-Based Forecasting Model of Biomass and Coal Gasification |
| title_full | Multi-Layer Perceptron-Based Forecasting Model of Biomass and Coal Gasification |
| title_fullStr | Multi-Layer Perceptron-Based Forecasting Model of Biomass and Coal Gasification |
| title_full_unstemmed | Multi-Layer Perceptron-Based Forecasting Model of Biomass and Coal Gasification |
| title_short | Multi-Layer Perceptron-Based Forecasting Model of Biomass and Coal Gasification |
| title_sort | multi layer perceptron based forecasting model of biomass and coal gasification |
| topic | biomass gasification fixed-bed downdraft gasifier gas composition model prediction multi-layer perceptron neural network |
| url | https://aeis.bilijipub.com/article_153091_3c603cd2a3381919e4e562f53ed63bd5.pdf |
| work_keys_str_mv | AT nikolaievaoksana multilayerperceptronbasedforecastingmodelofbiomassandcoalgasification |