College of Engineering

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    Emissions of CO and SO2 from solvent extraction treatment of used lubricant
    (4th International Conference on Science and Sustainable Development, 2021) Oladimeji, Temitayo E.; Sonibare, Jacob A.; Omoleye, James A.; Emetere, Moses, E.; Odunlami, Olayemi, A.
    Emissions fromused lubricant could have adverse effect on man and its environment due to the presence of degraded additives and contaminants. Different treatment methodshas been developed with few check on its pollution aspect. This study investigated the emissions of two major criteria pollutants - carbon monoxide (CO) and sulphur dioxide (SO2) from the solvent extraction treatment of used lubricant. CO was found to be the highest emitting pollutant with mean emission concentration of 85.85 mg/m3 which has exceeded the set NAQS standard while SO2 falls within the standard limit. Therefore,there is a great need to give attention to the control of CO emissions around the treatment plant. However, CO emission can be controlled by employing a CO converter to convert the poisonous gas to a less poisonous gas or substituting the existing process in solvent extraction with a more environmentally friendly one.
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    From origin to oversight: properties, impacts and management of heavy metals
    (Discover Applied Sciences, 2025) Oladimeji, Temitayo E.; Oyedemi, Melody O.; Odunfa, Moradeyo K.; Agboola, Oluranti; Adeoye, John B.; Oke, Michael A.; Akindele, Olubukola O.
    Heavy metals, derived from both natural processes (e.g., rock weathering) and anthropogenic activities (e.g., industrial emissions, agricultural runoff ), pose significant environmental and health risks due to their persistence and bioaccumulation in ecosystems. This review emphasizes the need for an in-depth examination of heavy metals, their sources, properties, toxicity, and management. The document also evaluates regulatory frameworks aimed at managing heavy metal contamination and highlights the need for innovative detection and regulation. It underscores the importance of future research and policy advancements to strengthen remediation efforts, safeguard public health, and promote sustainable environmental practices
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    From origin to oversight: properties, impacts and management of heavy metals
    (Discover Applied Sciences, 2025) Oladimeji, Temitayo E; Oyedemi, Melody O; Odunfa, Moradeyo K; Agboola, Oluranti; Adeoye, John B; Oke, Michael A.; Akindele, Olubukola O.
    Heavy metals, derived from both natural processes (e.g., rock weathering) and anthropogenic activities (e.g., industrial emissions, agricultural runoff), pose significant environmental and health risks due to their persistence and bioaccumulation in ecosystems. This review emphasizes the need for an in-depth examination of heavy metals, their sources, properties, toxicity, and management. The document also evaluates regulatory frameworks aimed at managing heavy metal contamination and highlights the need for innovative detection and regulation. It underscores the importance of future research and policy advancements to strengthen remediation efforts, safeguard public health, and promote sustainable environmental practice
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    Production of activated carbon from sawdust and its efficiency in the treatment of sewage water
    (Materials Science Forum, 2025) Oladimeji, Temitayo E; Olaniyan, Ifeoluwa F.; Emetere, Moses E.; Adeoye, John B.; Odunlami, Olayemi, A.; Abatan, Olubunmi G.
    The use of activated carbon for wastewater treatment has been established based on sustainability and cost. This study delves into the intricate process of producing activated carbon from cow and goat bones and explores the efficiency of this material in removing contaminants from distillery wastewater. The samples were carbonized at 700°C in a muffle furnace, then crushed in a mortar after cooling. The crushed samples were activated using 0.4M phosphoric acid for 24 hours and washed with distilled water, and finally oven dried. The elemental and microstructural was carried on the prepared activated carbon (AC) samples using X-ray Fluorescence (XRF) and Scanning Electron Microscopy (SEM). The heavy metals in the treated water were tested using Atomic Absorption Spectroscopy (AAS). The AC was used to treat waste water and factors on which adsorption depend, such as contact time (35 minutes and 60 minutes), adsorbent dosage (2.5g and 5g), and initial contaminant concentration (100% and 50%) were varied for each activated carbon sample (cow bone AC, goat bone AC, and a mixture of equal ratios of both). It was reported that activated carbon prepared from animal bones is rich in calcium. Also, chemical activation with phosphoric acid led to an increase in the external surface area of the particles with irregular cavities and pores. AC prepared from the mixture of cow and goat bones was most effective for distillery wastewater purification.
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    Production of activated carbon from sawdust and its efficiency in the treatment of sewage water
    (Heliyon, 2021) Oladimeji, Temitayo E; Odunoye, Babatunde O.; Elehinafe, Francis. B; Obanla,, Oyinlola, R.; Odunlami, Olayemi, A.
    When water is contaminated and rendered unfit for drinking, it is regarded as waste, which leads to water pollution. Several works have been done to control water pollution, yet this topic is still a point of concern up to date. The study involves the production of activated carbon (AC) using sawdust to treat sewage water obtained from Covenant University. The following conditions were investigated; activation time and temperature, acti vating agent concentration, and impregnation time. The AC was characterized by measuring ash content, iodine value, moisture, and volatile matter content. The optimum activated carbon prepared in this study had iodine of 1628.95 mg/gm, while the minimum activated carbon had an iodine of 470.41 mg/gm. According to standard procedure, the sewage water sample was characterized physio-chemically before and after treatment using activated carbon as an adsorbent. The results obtained indicated considerable improvement in the quality of the water. When optimum activated carbon was used for treatment, pH value changed from 7.7 to 7.10, biochemical oxygen demand (BOD) was reduced from 288 mg/l to 20 mg/l and Total dissolved solids (TDS) reduced from 183.7 mg/l to 16.4 mg/l, Total suspended solids (TSS) reduced 232 mg/l to 15.7 mg/l. When minimum activated carbon was used for treatment, pH value changed from 7.7 to 7.60, BOD was reduced from 288 mg/l to 112.2 mg/ l, and TDS reduced from 232 mg/l to 174 mg/l, TSS reduced 183.7 mg/l to 103 mg/l. The results obtained led to the conclusion that the produced activated carbon effectively treats the above-stated water quality parameters.
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    Industrial- and automotive-used lubricating oils recycling cum acidic sludge treatment
    (Springer, 2019) Oladimeji, Temitayo E; Oguntuashe, Kehinde M.; Emetere, Moses E.; Efeovbokhan, Vincent E.; Odunlami, Olayemi A.; Obanla, Oyinlola R.
    Increased rise of industries and car usage in Nigeria and urban development is exponentially on the increase giving rise to multiple waste generation. Evaluation of the different recycling processes showed that acid-clay process has the highest environmental risk as well as the lowest cost; hence, this work added a treatment method for the slurry produced after treatment with acid-clay method, thereby reducing the environmental concern caused by acid and acid sludge formed in the process. The acid ratio was varied between 0 and 20% and adsorbent ratio between 15 and 25%. Automotive-used lubricating oil and industrial-used lubricating oil were treated using two different samples, acid and adsorbent. An increase in acid concentration showed a significant difference over the properties of oil such as density, viscosity, flash point, and other physiochemical properties nevertheless increasing the amount of acid over the optimum point made on significant change. Varying of adsorbent ratio showed little significant effect to density and flash point, while yield and viscosity were unaffected. Optimum point being at 10% acid and 25% adsorbent gave optimal result. All metal contaminants are substantially removed; total base number was improved, while increase in flash point suggested the method effectiveness. Treatment of used industrial oil was found to be easier to re-refine due to less contamination.
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    Advanced techniques for the capturing and separation of CO2 – A review
    (Results in Engineering, 2022) Odunlami, O. A.; Vershima, D. A.; Oladimeji, T. E.; Nkongho, S.; Ogunlade, S. K.; Fakinle, B. S.
    The review was carried out to compare the efficiencies of the advanced and modern techniques for the capturing of CO2 and those (technologies) which are already in place. The ever-growing concern for the need to reduce and eliminate the effects of CO2 in the atmosphere has led to major areas of CO2 capture, over the years, to be explored and applied. Several techniques such as adsorption, absorption, cryogenic separation technique, membrane and a combination of two or more of these techniques were explored to determine which was most effective in the carbon capture process. A combination of the principles of these techniques were explored to determine how they can be applied in the advanced techniques of the CO2 capturing and storage processes, within this new age. Absorption stands out as the most commonly used technique for carbon capture. However, it is energy intensive and depending on the solvent used (i.e., ethanol), can be corrosive to the vessel it is utilized in. The review explored advanced methods for carbon dioxide capture such as the use of ionic liquids, zeolites, molten carbonate fuel cell and integration with several other components that enhance, not only their efficiencies, but also other physio-chemical properties that encourage its advancement. These were explored in the course of writing this review paper. From the review, it was discovered that Ionic liquids, integrated with membranes, enhance selectivity towards efficient CO2 capture. Zeolites occur naturally or are produced synthetically. They comprise of metal ions, are porous and made of certain ligands. They apply the principle of adsorption to remove CO2 and store. Molten carbonate fuel cells operate at high temperatures (usually at 600 ◦C) and have CO2 removal efficiencies of up to 60%. The review paper was, successfully, able to identify some of the major advanced technologies in the process of Carbon capture and the principles, efficiencies and costeffectiveness were described, appropriately. From the literature, molten carbonate fuel cells were the best of the three advanced methods, with high efficiency and operations at high (and varying) ranges of temperature
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    CONGESTION MITIGATION IN TRANSMISSION CONTROL PROTOCOL/INTERNET PROTOCOL NETWORKS USING A DEEP REINFORCEMENT LEARNING APPROACH
    (Covenant University, Ota, 2026-02) OPALEYE, Moses Adebayo; Covenant Universssity, Ota
    Random Early Detection (RED) algorithms require manual parameter tuning of the queue weight parameter, limiting effectiveness in dynamic network environments. This research develops a Deep Reinforcement Learning approach to dynamically adjust RED's queue weight for improved congestion control. Using NS-3.43 with OpenAI Gym and ZeroMQ integration, three agents — DQN, DDQN, and DDQNPER — were trained on a 200-node scenario and evaluated on unseen traffic scales of 20, 100, 300, and 400 nodes. All DRL models-maintained throughput identical to standard RED (4.885–4.936 Mbps) across all scenarios, confirming no loss of network capacity. DDQNPER achieved the best overall performance, reducing packet loss by approximately 1.8% under heavy traffic conditions (300 and 400 nodes), while marginally underperforming RED in packet loss at 20 nodes. Queuing delay was reduced across all scenarios, with the largest improvement of approximately 11% occurring at 20 nodes and moderate reductions of 3–5% under heavier traffic. These results demonstrate that DDQN enhanced with Prioritised Experience Replay can meaningfully improve active queue management in TCP/IP networks, with advantages most consistent under high-traffic congestion conditions.
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    SIMULATION OF IONIC LIQUIDS FOR THE REMOVAL OF ACID GASES IN NATURAL GAS PROCESSES
    (Covenant University Ota, 2025-08) Udogri, Obaro; Covenant University Dissertation
    This study presents a comprehensive simulation-based investigation integrating Aspen HYSYS and Density Functional Theory (DFT) to evaluate the performance of an ionic liquid (IL), 1-methyl-1-propylpiperidinium bis(trifluoromethanesulfonyl)-imide, for the effective removal of hydrogen sulfide (H₂S) and carbon dioxide (CO₂) from an untreated natural gas stream. The IL was selected based on its low toxicity, thermal stability, and favorable interaction with acid gases. The treatment phase involved modeling the gas absorption process in Aspen HYSYS and analyzing molecular interactions using DFT. Results showed that CO₂ preferentially binds to the anion ([TFSI]), while H₂S bonds to the cation ([MPPIP]). The calculated binding energies for both gases were minimal, indicating low energy requirements and a strong potential for efficient absorption. Under initial simulation conditions—206°C and 22.5 bar—the process achieved a 73.5% acid gas removal rate. Following this, optimization was performed to enhance the system’s performance. Sensitivity analyses revealed that temperature, pressure, and IL concentration significantly influenced gas absorption efficiency. The optimal operating conditions were found to be within a temperature range of 50°C to 78°C and a pressure of 18 bar. Although increasing the IL concentration improved acid gas absorption, it also reduced sweet gas recovery due to mass transfer effects. A balanced IL flowrate of 500 kmol/h was identified to maintain high efficiency while minimizing sweet gas loss. Statistical analysis using a two-factor interaction (2FI) model demonstrated a good model fit with an R² value of 83.2% and 87.6% of data closely matching the regression line. Final optimization using 3D response surface modeling revealed that the absorption efficiency could be increased from 73.5% to 95% by adjusting the operating conditions to 224°C and 28.5 bar.
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    ASSESSMENT OF THE IMPACT OF FAULTS IN A DISTRIBUTION NETWORK: A CASE STUDY OF COVENANT UNIVERSITY
    (Covenant University Ota, 2025-07) ECHEMITA, Timothy; Covenant University Dissertation
    Electrical faults pose significant challenges to the reliable and safe operation of distribution networks, often causing equipment damage, service interruptions, and reduced protection system effectiveness. This research investigates the impact of faults within the Covenant University distribution network. The objectives were to develop a representative network model, identify potential fault types, and assess their influence on overall system performance. A detailed MATLAB/Simulink model of the distribution network was created, and simulations were conducted for five primary fault types: single line-to-ground, double-line, double-line-to- ground, three-phase, and three-phase-to-ground faults, all under steady-state load conditions. The simulation results demonstrated distinct variations in fault current magnitudes and voltage responses depending on the fault type, with three-phase faults producing the highest currents. These results were compared against the interrupting capacities of protective devices installed in the Chapel, College of Science and Technology (CST), and Electrical and Information Engineering (EIE) powerhouses. The analysis revealed instances where simulated fault currents exceeded device ratings, indicating potential weaknesses in the existing protection scheme. Overall, the study emphasizes the importance of simulation-based fault assessment in evaluating protection adequacy and enhancing system resilience. Additionally, the findings provide a reference framework for protection analysis in similar institutional microgrids