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    Trends and Advancements in Utilization of Biomass Waste for Gasification: A Bibliometric Review
    (Wiley, 2025-11-24)
    Kunmi Joshua Abioye
    ;
    Noorfidza Yub Harun
    ;
    Abdoulmohammad Gholamzadeh Chofreh
    ;
    HESAM, KAMYAB  
    ;
    Mohammad Yusuf
    Biomass waste gasification is widely recognized as a sustainable and efficient method for converting organic waste into valuable energy, making it a focal point in global research. This study conducts a bibliometric analysis of publications related to this field, focusing on articles indexed in the Elsevier Scopus database from 1977 to 2023 using search terms “biomass waste,” “biomass residue,” “waste biomass,” and “gasification”. Initially, 981 articles were identified, with subsequent refined analyses narrowing the focus to 592 publications, using VOSviewer for in‐depth examination. The analysis revealed that the year 2023 saw the highest publication count with 73 articles, followed by the year 2022 and the year 2020, with 61 and 54 articles, respectively. China, the USA, and India emerged as the leading contributors, accounting for 9.68%, 7.07%, and 6.75% of the total publications, respectively. Top institutions by citations are the University of Saskatchewan (259), Hamad Bin Khalifa University (169), and Paul Scherrer Institut (113). The most prolific researchers in the field include Gulyurtlu, I., Cabrita, I., and Dalai, Ajay K., with citation counts of 1296, 1290, and 1020, respectively. The journals Energy, Fuel, and Energies were identified as authors most preferred publishing choice with 26, 23, and 22 publications, respectively. The keywords “Gasification,” “Biomass,” and “Syngas” were the most frequently occurring, with 194, 147, and 52 occurrences. Keyword analysis also revealed five thematic clusters. These findings offer a detailed overview of the research landscape in biomass waste gasification, emphasizing key contributors, emerging trends, and thematic areas, providing valuable insights for guiding future research in this domain.
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    RSM-based co-gasification of palm oil decanter cake and sugarcane bagasse: Syngas production and biochar characteristics
    (Elsevier BV, 2024-12)
    Kunmi Joshua Abioye
    ;
    Noorfidza Yub Harun
    ;
    Mohammad Yusuf
    ;
    Hesam Kamyab
    ;
    Joshua O. Ighalo
    The production of syngas (CO + H2) and biochar from biomass waste co-gasification promotes sustainable energy while addressing environmental remediation challenges. This study investigates the co-gasification of palm oil decanter cake (PODC) and sugarcane bagasse (SB) to optimize syngas production and obtain biochar in a fixed bed horizontal tube furnace reactor. Operating variables, including temperature (700–900 °C), biomass ratio (30–70 wt%), and particle size (0.25–2 mm), were optimized using Response Surface Methodology with the Box-Behnken design. Characterization analyses including Brunauer-Emmett-Teller (BET), Fourier Transformed Infrared (FTIR), and Field Emission Scanning Electron Microscopic (FESEM) analyses were conducted on the biochar. The optimal conditions yielded a syngas volume of 41.5 vol% and a biochar of 0.3 wt%, achieved at 900 °C temperature, 42 wt% PODC biomass ratio, and 2 mm particle size. BET analysis revealed a mesoporous structure biochar with surface area of 398.55 m2/g, pore volume of 0.13 cm3/g, and pore diameter of 6.49 nm. FTIR analysis indicated the presence of hydroxyl groups, carbonyl groups, aromatic compounds, and hydrocarbon structures. FESEM analysis showed well-defined pore structures on the biochar surface, with EDX analysis confirming a dominant carbon content of 83.32 wt%. These findings substantially enhance sustainable approaches in energy production, agriculture, and wastewater treatment, while effectively tackling environmental issues associated with biomass waste.
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    A review of biomass ash related problems: Mechanism, solution, and outlook
    (Elsevier BV, 2024-02)
    Kunmi Joshua Abioye
    ;
    Noorfidza Yub Harun
    ;
    Suriati Sufian
    ;
    Mohammad Yusuf
    ;
    Ahmad Hussaini Jagaba
    The smooth combustion process of biomass is of great importance as the world transit away from the use of fossil fuels to embracing environmentally friendly and renewable energy. Ash-related problems, such as slagging, fouling, agglomeration, and corrosion, significantly disrupt the efficient operation of gasification systems, leading to unforeseen breakdowns. Potassium, a prevalent alkali metal in biomass, reacts with chlorine and sulfur in flue gas, generating troublesome compounds. This interaction constitutes the primary source of challenges linked to biomass combustion processes. Additives, especially kaolin, an aluminum-silicate, proved most effective in capturing potassium during combustion, forming high-melting-point potassium aluminum silicate compounds. Hence, this paper provides a summary of issues related to biomass ash, explores the deposition mechanism, outlines methods to mitigate problems associated with ash, and concludes by introducing alum sludge as an outlook.
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    Optimization of syngas production from co-gasification of palm oil decanter cake and alum sludge: An RSM approach with char characterization
    (Elsevier BV, 2024-04)
    Kunmi Joshua Abioye
    ;
    Noorfidza Yub Harun
    ;
    Suriati Sufian
    ;
    Mohammad Yusuf
    ;
    Ahmad Hussaini Jagaba
    The study explores co-gasification of palm oil decanter cake and alum sludge, investigating the correlation between input variables and syngas production. Operating variables, including temperature (700–900 °C), air flow rate (10–30 mL/min), and particle size (0.25–2 mm), were optimized to maximize syngas production using air as the gasification agent in a fixed bed horizontal tube furnace reactor. Response Surface Methodology with the Box-Behnken design was used employed for optimization. Fourier Transformed Infra-Red (FTIR) and Field Emission Scanning Electron Microscopic (FESEM) analyses were used to analyze the char residue. The results showed that temperature and particle size have positive effects, while air flow rate has a negative effect on the syngas yield. The optimal CO + H2 composition of 39.48 vol% was achieved at 900 °C, 10 mL/min air flow rate, and 2 mm particle size. FTIR analysis confirmed the absence of C─Cl bonds and the emergence of Si─O bonds in the optimized char residue, distinguishing it from the raw sample. FESEM analysis revealed a rich porous structure in the optimized char residue, with the presence of calcium carbonate (CaCO3) and aluminosilicates. These findings provide valuable insights for sustainable energy production from biomass wastes.
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    Response surface methodology and artificial neural network modelling of palm oil decanter cake and alum sludge co-gasification for syngas (CO+H2) production
    (Elsevier BV, 2024-09)
    Kunmi Joshua Abioye
    ;
    Noorfidza Yub Harun
    ;
    Ushtar Arshad
    ;
    Suriati Sufian
    ;
    Mohammad Yusuf
    Syngas (CO + H2) production through biomass gasification offers a promising and sustainable alternative to conventional fuels. This study investigates the co-gasification of palm oil decanter cake (PODC) and Alum Sludge (AS), utilizing response surface methodology (RSM) and artificial neural network (ANN) techniques to optimize and predict syngas production. Conducted in a fixed bed horizontal reactor, the experiment investigates temperature, airflow rate, and particle size as input parameters. Results revealed that optimal condition of 900 °C temperature, 10 mL/min airflow rate, and 2 mm particle size yielded the highest syngas production at 39.48 vol%. The RSM showed an R2 value of 0.9896, whereas ANN network revealed an overall R2 value of 0.971. Both models demonstrated strong alignment with experimental data and the modelled equation. This research demonstrates the effective use of statistical modelling to enhance the efficiency and effectiveness of syngas production, thereby fostering advancements in sustainable energy production.