Mikulandrić, Robert and Lončar, Dražen and Böhning, Dorith and Böhme, Rene and Beckmann, Michael Dynamic modelling of biomass gasification processes in fixed bed gasifiers. = Dynamic modelling of biomass gasification processes in fixed bed gasifiers. In: Conference on Sustainable Development of Energy, Water and Environment Systems, 27.09-03.10.2015, Dubrovnik, Hrvatska.
Full text not available from this repository.Abstract
Gasification is a promising technology for efficient, clean and diverse utilisation of biomass and biomass residues through production of syngas. However, existing technical issues related to 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 such as biomass composition, particle residence time or size 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. The dynamic neural network model for gasification purposes will be developed and its performance will be analysed based on measured data. Measurement data for model performance analysis will be derived from a fixed bed biomass gasification plant operated by Technical University Dresden (TU Dreseden).
| Item Type: | Conference or Workshop Item (Lecture) |
|---|---|
| Keywords (Croatian): | Biomass gasification, Mathematical modelling, Artificial neural networks, Process analysis |
| 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: | No |
| Indexed in Current Contents: | No |
| Date Deposited: | 14 Apr 2016 09:45 |
| Last Modified: | 11 May 2017 13:36 |
| URI: | http://repozitorij.fsb.hr/id/eprint/5608 |
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