Mikulandrić, Robert and Lončar, Dražen and Böhning, Dorith and Böhme, Rene and Beckmann, Michael (2014) Artificial neural network modelling approach for a biomass gasification process in fixed bed gasifiers. = Artificial neural network modelling approach for a biomass gasification process in fixed bed gasifiers. Energy Conversion and Management, 87. pp. 1210-1223. ISSN 0196-8904. Vrsta rada: ["eprint_fieldopt_article_type_article" not defined]. Kvartili JCR: Q1 (2013). Točan broj autora: 5.
Full text not available from this repository.Abstract
The number of the small and middle-scale biomass gasification combined heat and power plants as well as syngas production plants has been significantly increased in the last decade mostly due to extensive incentives. However, existing issues regarding syngas quality, process efficiency, emissions and environmental standards are preventing biomass gasification technology to become more economically viable. To encounter these issues, special attention is given to the development of mathematical models which can be used for a process analysis or plant control purposes. The presented paper analyses possibilities of neural networks to predict process parameters with high speed and accuracy. After a related literature review and measurement data analysis, different modelling approaches for the process parameter prediction that can be used for an on-line process control were developed and their performance were analysed. Neural network models showed good capability to predict biomass gasification process parameters with reasonable accuracy and speed. Measurement data for the model development, verification and performance analysis were derived from biomass gasification plant operated by Technical University Dresden. © 2014 Elsevier Ltd.
| Item Type: | Article (["eprint_fieldopt_article_type_article" not defined]) |
|---|---|
| Keywords (Croatian): | Mathematical models; Biomass Gasification; Fixed-bed gasifiers; Process analysis; Neural networks |
| Subjects: | TECHNICAL SCIENCE > Mechanical Engineering |
| Divisions: | 500 Department of Energy, Power Engineering and Environment > 510 Power Engineering and Energy Management Chair |
| Indexed in Web of Science: | Yes |
| Indexed in Current Contents: | Yes |
| Quartiles: | Q1 (2013) |
| Date Deposited: | 21 May 2015 12:02 |
| Last Modified: | 16 May 2017 14:46 |
| URI: | http://repozitorij.fsb.hr/id/eprint/4300 |
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