{"title":"Valorization of sugar beet pulp via gasification for hydrogen-rich syngas production: Experimental study, optimization, and modeling","authors":"Serkan Karadeniz, Tolga Kaan Kanatlı, Nasrin Pourmoghaddam, Şehnaz Genç, Salahaldeen M.A. Aljafreh, Nezihe Ayas","doi":"10.1016/j.biombioe.2025.108400","DOIUrl":null,"url":null,"abstract":"<div><div>Hydrogen-rich syngas production through gasification of sugar beet pulp (SBP), a byproduct of sugar processing factories, was investigated in the presence of dolomite-supported Ni and Ni-La catalysts. For this purpose, catalysts with varying metal loadings (10, 20% Ni and 10–1, 10-3% Ni-La by wt%) were synthesized via the impregnation method and characterized by X-ray Diffraction (XRD), X-ray Fluorescence (XRF), Fourier Transform Infrared Spectroscopy (FT-IR), Scanning Electron Microscopy - Energy Dispersive X-ray Spectroscopy (SEM-EDS), Brunauer–Emmett–Teller (BET) surface area analysis, and Thermogravimetric Analysis (TGA). Gasification experiments with 10% Ni/Dolomite catalyst examined the effects of gasification temperature (600, 700, and 800 °C), and equivalence ratio (ER = 0.03, 0.09, 0.15), where the highest hydrogen concentration of 23.1 mol% (2.2 mol H<sub>2</sub>/kg SBP) was achieved at 700 °C, 0.03 ER. In the subsequent steam gasification experiments, the effects of catalyst type, steam-to-biomass (S:B) ratio, reaction temperature, and gasification duration were studied. Experimental highest hydrogen concentration (61.6%) and syngas calorific value (7535 kJ/m<sup>3</sup>) were achieved with the 10-3% Ni-La/Dolomite catalyst. Optimization studies were performed using full factorial design, analysis of variance (ANOVA), and Response Surface Methodology (RSM). Modeling of the gasification process employed Artificial Neural Networks (ANN) using Keras model in Python. Optimum gasification conditions were identified as 711.20 °C, 14.58 min, and S:B = 4.99, yielding 57.7 mol% hydrogen for 10% Ni/Dolomite catalyst. This study demonstrates that optimized steam gasification effectively valorizes sugar beet pulp by achieving high hydrogen yields and concentrations.</div></div>","PeriodicalId":253,"journal":{"name":"Biomass & Bioenergy","volume":"204 ","pages":"Article 108400"},"PeriodicalIF":5.8000,"publicationDate":"2025-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Biomass & Bioenergy","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0961953425008116","RegionNum":2,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"AGRICULTURAL ENGINEERING","Score":null,"Total":0}
引用次数: 0
Abstract
Hydrogen-rich syngas production through gasification of sugar beet pulp (SBP), a byproduct of sugar processing factories, was investigated in the presence of dolomite-supported Ni and Ni-La catalysts. For this purpose, catalysts with varying metal loadings (10, 20% Ni and 10–1, 10-3% Ni-La by wt%) were synthesized via the impregnation method and characterized by X-ray Diffraction (XRD), X-ray Fluorescence (XRF), Fourier Transform Infrared Spectroscopy (FT-IR), Scanning Electron Microscopy - Energy Dispersive X-ray Spectroscopy (SEM-EDS), Brunauer–Emmett–Teller (BET) surface area analysis, and Thermogravimetric Analysis (TGA). Gasification experiments with 10% Ni/Dolomite catalyst examined the effects of gasification temperature (600, 700, and 800 °C), and equivalence ratio (ER = 0.03, 0.09, 0.15), where the highest hydrogen concentration of 23.1 mol% (2.2 mol H2/kg SBP) was achieved at 700 °C, 0.03 ER. In the subsequent steam gasification experiments, the effects of catalyst type, steam-to-biomass (S:B) ratio, reaction temperature, and gasification duration were studied. Experimental highest hydrogen concentration (61.6%) and syngas calorific value (7535 kJ/m3) were achieved with the 10-3% Ni-La/Dolomite catalyst. Optimization studies were performed using full factorial design, analysis of variance (ANOVA), and Response Surface Methodology (RSM). Modeling of the gasification process employed Artificial Neural Networks (ANN) using Keras model in Python. Optimum gasification conditions were identified as 711.20 °C, 14.58 min, and S:B = 4.99, yielding 57.7 mol% hydrogen for 10% Ni/Dolomite catalyst. This study demonstrates that optimized steam gasification effectively valorizes sugar beet pulp by achieving high hydrogen yields and concentrations.
期刊介绍:
Biomass & Bioenergy is an international journal publishing original research papers and short communications, review articles and case studies on biological resources, chemical and biological processes, and biomass products for new renewable sources of energy and materials.
The scope of the journal extends to the environmental, management and economic aspects of biomass and bioenergy.
Key areas covered by the journal:
• Biomass: sources, energy crop production processes, genetic improvements, composition. Please note that research on these biomass subjects must be linked directly to bioenergy generation.
• Biological Residues: residues/rests from agricultural production, forestry and plantations (palm, sugar etc), processing industries, and municipal sources (MSW). Papers on the use of biomass residues through innovative processes/technological novelty and/or consideration of feedstock/system sustainability (or unsustainability) are welcomed. However waste treatment processes and pollution control or mitigation which are only tangentially related to bioenergy are not in the scope of the journal, as they are more suited to publications in the environmental arena. Papers that describe conventional waste streams (ie well described in existing literature) that do not empirically address ''new'' added value from the process are not suitable for submission to the journal.
• Bioenergy Processes: fermentations, thermochemical conversions, liquid and gaseous fuels, and petrochemical substitutes
• Bioenergy Utilization: direct combustion, gasification, electricity production, chemical processes, and by-product remediation
• Biomass and the Environment: carbon cycle, the net energy efficiency of bioenergy systems, assessment of sustainability, and biodiversity issues.