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doctoral thesis
Mathematical modelling of biomass gasification process in fixed bed reactors
Zagreb: University of Zagreb, Faculty of Mechanical Engineering and Naval Architecture, 2022. urn:nbn:hr:235:800287
Mikulandrić, Robert
University of Zagreb
Faculty of Mechanical Engineering and Naval Architecture

Institutional repository: Repository of Faculty of Mechanical Engineering and Naval Architecture University of Zagreb

Cite this document

Mikulandrić, R. (2022). Mathematical modelling of biomass gasification process in fixed bed reactors (Doctoral thesis). Zagreb: University of Zagreb, Faculty of Mechanical Engineering and Naval Architecture. Retrieved from https://urn.nsk.hr/urn:nbn:hr:235:800287

Mikulandrić, Robert. "Mathematical modelling of biomass gasification process in fixed bed reactors." Doctoral thesis, University of Zagreb, Faculty of Mechanical Engineering and Naval Architecture, 2022. https://urn.nsk.hr/urn:nbn:hr:235:800287

Mikulandrić, Robert. "Mathematical modelling of biomass gasification process in fixed bed reactors." Doctoral thesis, University of Zagreb, Faculty of Mechanical Engineering and Naval Architecture, 2022. https://urn.nsk.hr/urn:nbn:hr:235:800287

Mikulandrić, R. (2022). 'Mathematical modelling of biomass gasification process in fixed bed reactors', Doctoral thesis, University of Zagreb, Faculty of Mechanical Engineering and Naval Architecture, accessed 18 November 2024, https://urn.nsk.hr/urn:nbn:hr:235:800287

Mikulandrić R. Mathematical modelling of biomass gasification process in fixed bed reactors [Doctoral thesis]. Zagreb: University of Zagreb, Faculty of Mechanical Engineering and Naval Architecture; 2022 [cited 2024 November 18] Available at: https://urn.nsk.hr/urn:nbn:hr:235:800287

R. Mikulandrić, "Mathematical modelling of biomass gasification process in fixed bed reactors", Doctoral thesis, University of Zagreb, Faculty of Mechanical Engineering and Naval Architecture, Zagreb, 2022. Available at: https://urn.nsk.hr/urn:nbn:hr:235:800287

Metadata
TitleMathematical modelling of biomass gasification process in fixed bed reactors
Title (croatian)Matematičko modeliranje procesa rasplinjavanja biomase u reaktorima s nepomičnim slojem
AuthorRobert Mikulandrić
MentorDražen Lončar (mentor)
Committee memberDubravko Majetić (predsjednik povjerenstva)
Committee memberDražen Lončar (član povjerenstva)
Committee memberLuka Perković (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Mechanical Engineering and Naval Architecture
Zagreb
Defense date and country2022-10-28, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Mechanical Engineering
Universal decimal classification
(UDC)		620 - Materials testing. Power stations. Economics of energy
Abstract
The aim of the research was to develop a mathematical model that is capable to predict process parameters with reasonable speed and accuracy in different and changeable operating conditions during biomass gasification. Process parameters such as fuel and air flow rate were considered as one of the model inputs which lead to prediction of other process parameters such as syngas temperature and syngas composition. Process dynamics were modelled and simulaiton results were analysed in order to enable further development of an on-line gasification process control concept. Model was designed to predict process parameters in different and changing operating conditions. For model development purposes different equlibrium models and artificial inteligence based models were utilised and their performance was analysed. Model prediction potential was validated on measurement data from a fixed-bed type gasification facility. Developed models were able to predict process parameters such as syngas temperature with average prediction error below 10% (R2 > 0.82) and syngas composition with average prediction error below 38% (R2 > 0.42).Dynamic modelling approach with active prediction error estimation was developed to predict process parameters in variable operating conditions. Models were further used to develop a control strategy that could improve process efficiency by 25%.
Abstract (croatian)
Cilj istraživanja bio je razvoj matematičkog modela koji će predvidjeti pogonske parametre s razumnom brzinom i točnošću u različitim i promjenjivim pogonskim uvjetima tokom rasplinjavanja. Pogonski parametri poput protoka goriva i zraka uzeti su u obzir kao jedni od ulaznih parametara koji su korišteni za predviđanje pogonskih parametara kao što su temperatura i sastav sintetskog plina. Dinamika procesa je modelirana i rezultati simulacije su analizirani u svrhu budućeg razvoja regulacijskih sustava procesa rasplinjavanja. Model je u stanju predviditi pogonske parametre u različitim i promijenjivim pogonskim uvjetima. Za razvoj modela korišteni su različiti modeli temeljeni na očuvanju mase i energije kao i modeli temeljeni na umjetnoj inteligenciji te će se analizirati njihove značajke. Predikcijski potencijal modelavalidiran je na temelju mjerenih podataka prikupljenih s rasplinjača s nepomičnim slojem. Razvijeni modeli su u mogućnosti predvidjeti procesne parametre kao što je temperatura sintetskog plina s prosječnom greškom prdvuđanja ispod 10% (R2 > 0.82) te sastav sintetskog plina s greškom predviđanja ispod 38% (R2 > 0.42). Dinamični pristup modeliranju koji uključuje aktivnu analizu greške predviđanja korišten je za predviđanje pogonskih parametara u promjenjivim uvjetima. Razvijeni modeli su dalje korišteni za razvoj nove strategije vođenja postrojenja koja ima potencijal poboljšati efikasnost procesa za 25%.
Keywords
Keywords (croatian)
Languageenglish
URN:NBNurn:nbn:hr:235:800287
Study programmeTitle: Mechanical Engineering and Naval Architecture
Study programme type: university
Study level: postgraduate
Academic / professional title: doktor/doktorica znanosti, područje tehničkih znanosti (doktor/doktorica znanosti, područje tehničkih znanosti)
Type of resourceText
File originBorn digital
Access conditionsOpen access
Terms of useLicence In copyright icon
Created on2022-11-29 14:06:54