Exergetic analysis and optimization of process variables in xylitol production: Maximizing efficiency and sustainability in biotechnological processes

[Display omitted] •Sustainability of xylitol production was assessed through exergy analysis.•Impact of bioreactor variables on exergetic parameters was demonstrated.•The reactor performance parameters were successfully modeled by MLR.•Exergy analysis demonstrated process efficiency ranging from 41%...

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Veröffentlicht in:Bioresource technology 2024-01, Vol.391, p.129910-129910, Article 129910
Hauptverfasser: Reis Silva, Suzimara, Ferreira da Costa Jr, Esly, Sarrouh, Boutros, Oliveira Souza da Costa, Andréa
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Sprache:eng
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Zusammenfassung:[Display omitted] •Sustainability of xylitol production was assessed through exergy analysis.•Impact of bioreactor variables on exergetic parameters was demonstrated.•The reactor performance parameters were successfully modeled by MLR.•Exergy analysis demonstrated process efficiency ranging from 41% to 67%.•Bioreactor performance improved by maximizing xylitol yield and exergetic parameters. This study presents an exergetic analysis of xylitol fermentative production from hemicellulose hydrolysate, aiming to optimize operational conditions in a fluidized bed bioreactor. The aerobic fermentation conditions evaluated in this study (gas flow rate - x1, hydrolysate concentration factor - x2, and recirculation flow rate - x3) were optimized using various exergetic parameters and xylitol yield as objective functions. Four objective functions were defined for the mono-objective optimization process: rational exergetic efficiency, normalized destroyed exergy, thermodynamic sustainability index, and xylitol yield factor. The results reveal that the optimization problem involves conflicting objectives when considering both yield-based and exergy-based approaches. Thus, the bioreactor's performance was formulated as a multi-objective problem, where the yield factor and thermodynamic sustainability index were simultaneously maximized. For the multi-objective optimization, the ideal operational variable ranges were found to be: 594 ≤x1≤ 619 mL/min, x2= 7 e 37 ≤x3≤ 57 L/h.
ISSN:0960-8524
1873-2976
DOI:10.1016/j.biortech.2023.129910