Pregled bibliografske jedinice broj: 1003520
Utilizing a neural network modelling approach in the fixed bed biomass gasifier
Utilizing a neural network modelling approach in the fixed bed biomass gasifier // Proceedings of the 14th International Conference on Accomplishments of Electrical and Mechanical Industries / Gvero, Petar ; Prochalska, Biljana ; Stipanović , Milivoj (ur.).
Banja Luka: Faculty of Mechanical Engineering University of Banja Luka, 2019. 28, sekcija 2/2, 1 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
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Naslov
Utilizing a neural network modelling approach in
the fixed bed biomass gasifier
Autori
Cerinski , Damijan ; Baleta, Jakov ; Lovrenić - Jugović , Martina
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
Proceedings of the 14th International Conference on Accomplishments of Electrical and Mechanical Industries
/ Gvero, Petar ; Prochalska, Biljana ; Stipanović , Milivoj - Banja Luka : Faculty of Mechanical Engineering University of Banja Luka, 2019
Skup
14th International Conference on Accomplishments in Mechanical and Industrial Engineering (DEMI 2019)
Mjesto i datum
Banja Luka, Bosna i Hercegovina, 24.05.2019. - 25.05.2019
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
gasification ; syngas composition ; NARX ; artificial neural networks
Sažetak
Development of renewable energy resources recorded significant growth in the past several years due to climate changes caused by the combustion of fossil fuels. Conversion of biomass into the syngas suitable for further exploitation is recognized as a valuable energy resource because of the wide distribution and availability of raw materials. Biomass gasification is the thermochemical process of partial combustion in the oxygen-free environment with a final product of hydrogen- enriched gas. Development of mathematical models for describing physical and chemical behaviour of gasification process significantly replaces expensive experimental investigations with an aim to optimize the process. Artificial neural network (ANN) models are presented as a novel modelling method of biomass gasification using an unphysical approach based on experimental input and output data. In this work the possibility of using the dynamics Nonlinear autoregressive model with exogenous inputs (NARX) on fixed bed gasifier was analysed. Results showed that NARX has possibility of predicting the syngas composition from gasification process, although further improvement of the model is mandatory.
Izvorni jezik
Engleski
Znanstvena područja
Metalurgija, Strojarstvo
POVEZANOST RADA
Ustanove:
Metalurški fakultet, Sisak
