Mikulandrić, Robert and Boehning, Dorith and Boehme, Rene and Helsen, Lieve and Beckmann, Michael and Lončar, Dražen (2016) Dynamic modelling of biomass gasification in a co-current fixed bed gasifier. = Dynamic modelling of biomass gasification in a co-current fixed bed gasifier. Energy Conversion and Management, 125 (SI). pp. 264-276. ISSN 0196-8904. Vrsta rada: ["eprint_fieldopt_article_type_article" not defined]. Kvartili JCR: Q1 (2015). Točan broj autora: 6.
Full text not available from this repository.Abstract
Existing technical issues related to biomass gasification process efficiency and environmental standards are preventing the technology to become more economically viable. In order to tackle those issues a lot of attention has been given to biomass gasification process predictive modelling. These models should be robust enough to predict process parameters during variable operating conditions. This could be accomplished either by changes of model input variables or by changes in model structure. This paper analyses the potential of neural network based modelling to predict process parameters during plant operation with variable operating conditions. Dynamic neural network based model for gasification purposes will be developed and its performance will be analysed based on measured data derived from a fixed bed biomass gasification plant operated by Technical University Dresden (TU Dresden). Dynamic neural network can predict process temperature with an average error less than 10% and in those terms performs better than multiple linear regression models. Average prediction error of syngas quality is lower than 30%. Developed model is applicable for online analysis of biomass gasification process under variable operating conditions. The model is automatically modified when new operating conditions occur.
| Item Type: | Article (["eprint_fieldopt_article_type_article" not defined]) |
|---|---|
| Keywords (Croatian): | biomass gasification ; dynamic modelling ; artificial neural networks ; fixed bed gasifiers |
| 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 (2015) |
| Date Deposited: | 16 May 2017 15:04 |
| Last Modified: | 17 Jan 2018 09:55 |
| URI: | http://repozitorij.fsb.hr/id/eprint/7765 |
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