Research Articles in Petroleum & Gas

Permanent URI for this collectionhttps://repository.nileuniversity.edu.ng/handle/123456789/57

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Author: search.filters.author.Peter Pelumi Ikubanni

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    Comprehensive Characterization of Some Selected Biomass for Bioenergy Production
    (ACS Omega, 2023-11-08) Asmau M. Yahya; Adekunle Akanni Adeleke; Petrus Nzerem; Peter Pelumi Ikubanni; Salihu Ayuba; Hauwa A. Rasheed; Abdullahi Gimba; Ikechukwu Okafor; Jude A. Okolie; Prabhu Paramasivam
    There is a lack of information about the detailed characterization of biomass of Nigerian origin. This study presents a comprehensive characterization of six biomass, groundnut shells, corncob, cashew leaves, Ixora coccinea (flame of the woods), sawdust, and lemongrass, to aid appropriate selection for bio-oil production. The proximate, ultimate, calorific value and compositional analyses were carried out following the American Standard for Testing and Materials (ASTM) standards. Fourier transform infrared spectroscopy, thermogravimetric analysis, scanning electron microscopy with energy-dispersive X-ray spectroscopy, and X-ray fluorescence were employed in this study for functional group analyses, thermal stability, and structural analyses. The H/C and O/C atomic ratios, fuel ratio, ignitability index, and combustibility index of the biomass samples were evaluated. Groundnut shells, cashew leaves, and lemongrass were identified as promising feedstocks for bio-oil production based on their calorific values (>20 MJ/kg). Sawdust exhibited favorable characteristics for bio-oil production as indicated by its higher volatile matter (79.28%), low ash content (1.53%), low moisture content (6.18%), and high fixed carbon content (13.01%). Also, all samples showed favorable ignition and flammability properties. The low nitrogen (<0.12%) and sulfur (<0.04%) contents in the samples make them environmentally benign fuels as a lower percentage of NOx and SOx will be released during the production of the bio-oil. These results are contributions to the advancement of a sustainable and efficient carbon-neutral energy mix, promoting biomass resource utilization for the generation of energy.
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    Comparative studies of machine learning models for predicting higher heating values of biomass
    (Institution of Chemical Engineers (IChemE), 2024-06-29) Adekunle Akanni Adeleke; Adeyinka Adedigba; Steve Adeshina; Peter Pelumi Ikubanni; Mohammed S. Lawal; Adebayo Isaac Olosho; Halima S. Yakubu; Temitayo Samson Ogedengbe; Petrus Nzerem; Jude A. Okolie
    This study addresses the challenge of efficiently determining the higher heating value (HHV) of biomass, a crucial parameter in large-scale biomass-based energy systems. The conventional method of measuring HHV using an oxygen bomb calorimeter is time-consuming, expensive, and less accessible to researchers, particularly in developing nations. To overcome these limitations, we employed four machine learning (ML) models, namely Random Forest (RF), Decision Tree (DT), Support Vector Machine (SVM), and Extreme Gradient Boosting (XGBoost). These models were developed by using proximate and ultimate analysis parameters as input features. Up to 200 datasets were compiled from literature and used for the ML models. Our results demonstrate the effectiveness of all ML models in accurately predicting the HHV of biomass materials. Notably, the XGBoost model exhibited superior performance with the highest R-squared (R2) values for both training (0.9683) and test datasets (0.7309), along with the lowest root mean squared error (RSME) of 0.3558. Key influential input features identified for HHV prediction include carbon (C), volatile matter (Vm), ash, and hydrogen (H). Consequently, this research provides a reliable alternative for predicting HHV without the need for costly and time-intensive experimental measurements, facilitating broader accessibility in biomass energy research.
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    A Review of the Physical, Optical and Photoluminescence Properties of Rare Earth Ions Doped Glasses
    (TRENDS IN SCIENCES, 2024-10-22) Serifat Olamide Adeleye; Adekunle Akanni Adeleke; Petrus Nzerem; Adebayo Isaac Olosho; Esther Nneka Anosike-Francis; Temitayo Samson Ogedengbe; Peter Pelumi Ikubanni; Rabiatu Adamu Saleh; Jude A. Okolie
    Doping glasses with rare-earth ions have garnered significant attention among researchers worldwide. This interest stems from the widespread utilization of rare-earth ions to enhance the optical characteristics of host glasses and exploit the unique spectroscopic properties arising from their optical transitions in the intra-4f shell. Thus, this study reviewed the exceptional potential of rare-earth ion-doped glasses (REIs) in various applications such as solid-state lasers, photonic devices, communication optical fibers, and white light emission. Various methods for the fabrication of glass such as direct melt quenching, sol-gel, ion exchange, sputtering and co-doping techniques were reviewed extensively. The Specific focus was on the physical, optical and photoluminescence properties of glasses produced from glass formers co-doped with rare earth ions. The investigation centers on the comprehensive current applicability of REI-doped glasses.  The review concludes based on the physical, optical and photoluminescence properties of rare earth ion-doped glasses that they are extremely useful in photonics, lasers, biomedical and optical communication applications.
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    Renewable Energy Conversion from Biomass
    (International Conference on Multidisciplinary Engineering and Applied Sciences (ICMEAS-2023), 2023-11-01) Adekunle Akanni Adeleke ; Petrus Nzerem; Ayuba S.; Esther Nneka Anosike-Francis; Peter Pelumi Ikubanni; Adebayo Isaac Olosho; Abdulrasheed Ado; Adeiza Avidime Samuel; Jakada K.
    The global impacts of fossil fuels have driven governments and companies to investigate other methods of energy production for the benefit of society. The utilization of biomass in energy validates the possibility to replace non-renewable sources of energy. Bioenergy is obtained from a wide variety of sources, including rice husks, bagasse, wood chippings, and sawdust. This article presents an examination of the techniques employed in the conversion of biomass into energy that is suitable for practical applications, ecologically friendly and also the rates at which biomass power is consumed worldwide.
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    CHARACTERIZATION OF WHEAT HUSK ASH AND CALCINED EGGSHELL AS POTENTIAL GLASS FORMER
    (International Conference on Multidisciplinary Engineering and Applied Sciences, 2023-02-02) Serifat Olamide Adeleye; Adekunle Akanni Adeleke; Petrus Nzerem; Peter Pelumi Ikubanni; Ayuba Salihu; Adebayo Isaac Olosho
    Numerous agricultural byproducts, such as rice husk and straw, bagasse from sugar cane, palm kernel shell, wheat husk and straw, corn cobs, etc, are highly desired for the production of renewable energy and are seen as potential raw materials for high-value products. Because they can be used to extract quality silica and Calcium oxide for borosilicate glass production, this research has demonstrated that these wastes have a significant end value. X-ray diffraction (XRD) spectroscopy, Fourier transform infrared spectroscopy (FT-IR), and X-ray fluorescence spectroscopy (XRF) were used to characterize the calcined waste eggshell and wheat husk ash for crystal type, compound identification, and chemical composition. The findings demonstrated that the amount of silica and calcium oxide obtained from agricultural waste could be a suitable alternative source for making glass, with calcined eggshells having a calcium oxide content of 91.7% and wheat husk ash having a silica content of 71.3%. The potential for utilizing the CaO and amorphous silica in the formation of glass is thus intriguing.