Gasoline Research Articles

Economic Dilemma of Fuel Subsidy Removal in Nigeria

In this study, we provide valuable insights into how the removal of fuel subsidy contributed to headline inflation in Nigeria from 2023 to February 2025. This is based on the premise that high prices of premium motor spirit (PMS), associated with the subsidy removal, tend to increase the costs of transportation, food, and production. Thus, we employ exploratory analysis, a least squares estimation, and Granger causality tests to quantify the contributions of PMS, household kerosene, and automotive gas oil (AGO) prices to headline inflation using time series data from the National Bureau of Statistics (NBS). The exploratory analysis indicated that high PMS prices are positively and significantly correlated with headline inflationary pressures. The findings from the regression estimates revealed that prices of PMS, household kerosene, and automotive gas oil have positive and significant effects on headline inflation in both the short and long run. However, the magnitude of these impacts varies, with the price of PMS exerting a more pronounced positive effect on headline inflation during the study period. This underscores that changes in PMS prices exacerbate the inflation conundrum, complicating the Central Bank of Nigeria's (CBN) efforts to achieve price stability. Therefore, the government should prioritise fiscal discipline in managing the savings from subsidy removal, ensuring these funds are invested in revamping refineries to increase supply and reduce prices in the long run.

Direct Synthesis of Highly Siliceous Faujasite-type Zeolite Enabled by Low Charge Density Organic Structure-directing Agents.

Ultrastable Y (USY) zeolites (Faujasite-type, FAU) with high SiO2/Al2O3 ratios (SARs) have been widely applied in fluidized catalytic cracking and hydrocracking processes. However, their preparation typically involves labor-intensive post-treatments that inevitably introduce defects, extra-framework species, and compositional gradients. Herein, we report the direct synthesis of FAU-type zeolite with a record-high SAR up to 21.28, which shows superior catalytic performance in the catalytic cracking of cumene and straight-run diesel. This was achieved by using a highly siliceous initial gel and seed, together with low charge-density organic structure-directing agents (OSDAs) of tetramethylammonium (TMA+) and tetrabutylammonium (TBA+) cations, while minimizing the use of high charge-density inorganic Na+ cations. Comprehensive NMR analyses, including two-dimensional (2D) heteronuclear correlation (HETCOR) experiments (1H-13C, 1H-27Al, 1H-29Si), and synchrotron radiation X-ray diffraction-based Rietveld refinements, revealed that (1) TMA+ and TBA+ preferentially interact with Si species over Al species in the initial gel, promoting Si incorporation into the FAU structure's long-range order; and (2) TMA+ cations were tightly confined within the sodalite (sod) cages, while TBA+ cations occupied the faujasite (fau) supercages, adopting folded butyl chain configurations. The encapsulation of low charge-density OSDA cations, coupled with the exclusion of high charge-density Na+ cations, resulted in a highly siliceous Y zeolite with a SAR of 21.28. The synthesized Y zeolite exhibited improved durability and enhanced activity in cumene cracking and comparable selectivity for the target products [liquefied petroleum gas (LPG) and gasoline] while reducing coke formation by 28% in straight-run diesel catalytic cracking compared to conventional USY zeolites.

Do Regulated Petroleum Products Share a Long-Run Relationship With the International Market for Crude Oil? Preliminary Evidence From Fiji

In this note, we examine the long-run co-movement between the regulated domestic petroleum prices in Fiji and international market price of crude oil. The domestic petroleum prices are unique data points that are actual price control orders authorised by the price regulator. We then investigate how the crude oil market conditions affect domestic prices. Our results show that the regular price control orders on petroleum products in Fiji track the crude oil market conditions with a one-month lag. Two out of four petroleum products studied (premix and kerosene) have a stable long-run cointegrating relationship with the international crude oil market. Other products (such as, motor spirit and diesel) fail to comove with the crude oil market (or premix), suggesting that price control-order adjustments to market conditions can be further improved.

Comparative Analysis of Engine Efficiency and Emission Using Premium Motor Spirit (PMS) and Liquefied Petroleum Gas (LPG) in Spark Ignition Engines

The increasing global demand for energy, coupled with growing concerns about climatechange, air pollution, and energy security, has highlighted the need for sustainable and environmentally friendly transportation solutions. Spark Ignition Engines (SIEs), which are widely used in vehicles, are significant contributors to greenhouse gas emissions and air pollution. Therefore, exploring alternative fuels that can reduce the environmental impact of SIEs while enhancing their efficiency is crucial. This study investigates the performance and efficiency of a Spark Ignition Engine (SIE) when powered by Premium Motor Spirit (PMS) and Liquefied Petroleum Gas (LPG) separately, evaluating Key parameters analyzed include torque, power output, thermal efficiency, volumetric efficiency, brake mean effective pressure (BMEP), and fuel consumption. Experimental tests and simulations were conducted to compare engine performance under varying conditions. The results indicate that LPG delivers superior thermal efficiency and lower emissions than PMS, supporting its viability for cleaner energy applications. The study underscores the potential benefits of LPG-powered.

Navigating Economic Policy Uncertainty in Nigeria: The Influence of Soaring Food and Commodity Prices on the Cost-of-Living Crisis in Nigeria Amid Geopolitical Risks and Energy Market Fluctuations

The study explores the impacts of soaring food and commodity prices on the cost-of-living crisis in Nigeria. The research was premised on the rationale that the recent subsidy removal of petrol prices and the announcement of the unification and liberalisation of the exchange rates may have worsened the already existing crisis instigated by the war in Ukraine, which elevated food and commodity prices globally. The study showed that rising inflation, premium motor spirit prices, agriculture production cost and exchange rate depreciation have led to shrinking incomes, thereby reducing household purchasing power and increasing poverty. The paper recommends strategies for fiscal and monetary authorities to address the cost-of-living crisis.

Development and application of new nickel-based cholesteryl chloroformate gelator for the remediation of oil spillage in water

BackgroundOil spills have caused significant harm to human health, marine life, and the environment, prompting numerous remediation efforts but with limitations. This study explores the development of a nickel-based gelator (A(LS)2) for oil spill clean-up in water. The objectives used to achieve the aim of this study include: synthesis of a nickel metal complex linker unit (LU), synthesis of aromatic linker unit (AL) using an isophthaloyl chloride aromatic unit and LU, characterisation of the synthesised AL, and grafting of cholesteryl chloroformate in the AL to synthesise the gelator. The synthesised AL and gelator were coded NiAL and NiGe, respectively, and were characterised.ResultsFragments of the synthesised compound corresponding to the proposed structure were found using GC–MS, and their diameters were 5.9 μm for NiAL and 47.0 μm for NiGe. FT-IR spectroscopy showed functional groups which include secondary amine and aromatic rings in NiGe, as well as secondary amine aromatic rings, alkane, and aromatic overtones in NiGe. Finally, TGA showed that NiGe was stable at temperatures up to 445 °C. NiGe formed a gel with petroleum motor spirit (PMS), kerosene (KSE), and crude oil (COL) in a maximum time of 6.5 min. The Tgel (at 2 mg) value and sorption capacities were 44 °C and 5.8 ± 0.8 gg−1 for KSE, 39 °C and 3.7 ± 0.2 gg−1 for PMS, and 58 °C and 4.2 ± 0.7 gg−1, respectively. NiGe had a removal efficiency of 92% for COL, 90% for PMS, and 84% for KSE. NiGe could be recycled for up to five cycles. For better results, 0.5 g of NiGe formed gels with 4.20 mL of KSE, 4.60 mL of PMS and 5.42 mL of COL, which were subsequently removed from polluted water. Nickel-based organometallogelator (NiGe) was successfully synthesised and applied for oil spill clean-up in water; the gelator remediated crude oil, petroleum motor spirit and kerosene, respectively, from contaminated water; NiGe CuGe is recyclable; hence, scooped oil can be recovered and CuGe reused for several cycles, and oleophilicity makes CuGe, which is thermally stable and selective, best in biphasic oil–water mixture separation.ConclusionsA nickel-based gelator with an A(LS)2 network, which is stable at high temperatures, environmentally friendly, crystalline, and recyclable, has been successfully synthesised and used to remove KSE, PMS, and COL from water.

Determination of Aromatic Amines in Automotive Spark‐Ignition Engine Fuel Using Gas Chromatography With Vacuum Ultraviolet Detector

ABSTRACTBlending aromatic amines into unleaded gasoline increases the octane properties of the fuel. However, when used at high concentrations, they could lead to engine issues, such as corrosion and engine fouling. No limits for aromatic amines are reported in the European unleaded petrol specification European gasoline specification (EN 228), which however requires that the fuel does not cause any engine damage. In 2020 the European Committee for Standardization underlined the importance of ensuring that fuels are fit for purpose. Hence, a valid method by gas chromatography with vacuum ultraviolet detection to identify and quantify aromatic amines that are used for enhancing octane properties in gasoline was developed, implementing the Standard Test Method ASTM D8369, used for a detailed hydrocarbons analysis of spark ignition fuels. The developed method included an updated spectra library, calculation of calibration factors, and linearity check. The total amount of nitrogen was determined for comparison purposes with the standard test method ASTM D4629. Results show a good identification and quantification of aromatic amines in real gasoline samples.

Analysis of the Spatial Distribution and Characteristics of Petrol Filling Stations in Minna, Niger State

In many developed countries, urban growth has an increased use of automobile manufacturing, in turn influencing the need for fueling services and consequently the construction of petrol filling stations, which lack the minimum requirements for operation according to the DPR criteria for PFSs. The study analyzed the distribution and characteristics of petrol filling stations, which was supplemented using GIS techniques and tools like buffers and the average nearest neighbor tool, and integrated with the physical planning standards set by the Department of Petroleum Resources (DPR). However, names and street addresses of the PFSs were obtained from through field observation. Maps, field observation, and satellite images were used to collect locational information about the area. The result indicates that there are 79 petrol filling stations located in the Minna metropolis. Premium Motor Spirit (PMS) is the major product traded by the stations; the overall pattern of the distribution of PFSs in the area is clustered where the z-score is -7.864847 and the pvalue is 0.000000 as the Nearest Neighbor index is <1. The major factors governing the spatial distribution and characteristics of filling stations are the traffic flow and exit site from the city, which are part of the owner‘s preference. However, most of the petrol filling stations had not satisfied the minimum requirement of 1089 m² land area, 50 m set back from the nearest residential structures representing 25.3% and (20.8, 32.1, 29.2%) respectively. Also, many stations had not met the criteria of 400 m minimum distance to other stations on the same axis, representing 84.8%. The study concluded that the substandard requirement of PFSs in the study area poses threats on the health and safety of users and residents in the vicinity and environs. Based on these findings, it is recommended that the regulatory agencies take proactive planning measures and integrate GIS in a manner that ensures that filling station operators comply with the standard.

Investigating the Impact of Oxygenated Additives on Exhaust Emissions from Unleaded Gasoline Vehicles

The rapidly increasing global population, combined with a corresponding increase in power plants, factories and automobiles, has led to a significant decline in air quality. This issue first came to the forefront in the Los Angeles basin during the late 1940s, primarily due to the region's high population density and unique meteorological conditions. The combination of industrial and vehicular emissions with the prevalent fog resulted in the formation of smog. In response to this growing concern, California began implementing emission standards in the 1960s. Researchers have explored various methods to mitigate emissions from internal combustion engines. One such approach involves the utilisation of oxygen-containing additives to enhance gasoline performance and reduce harmful emissions. This study aims to determine the potential of Dimethyl Carbonate (DMC) as an additive in reducing emissions. To achieve this objective, an experimental setup was established using a multi-cylinder, four-stroke spark ignition engine to test fuel blends containing DMC. Major Findings: The findings of this investigation revealed that gasoline blended with DMC exhibits lower levels of Carbon Monoxide (CO) and Hydrocarbon (HC) emissions compared to standard unleaded gasoline. However, the impact of DMC on Nitrogen Oxide (NOx) emissions appears to be negligible.

Policy Adjustments: Their Dual Impacts and Sustainability Assessment on Heavy Metal Concentration in Topsoil of Nantong City, China

Soil heavy metal pollution has emerged as a substantial threat to environmental quality and human health. The pollution levels of heavy metals in soil are significantly influenced by human activities, rendering it one of the most crucial topics for the sustainable development of soils. This study analyzed the data of surface soil heavy metal concentration in Nantong from 2008 to 2018 to explore the impact of policy adjustments on concentration levels. The results revealed that over the past decade, the overall content of Pb in the topsoil of Nantong decreased by 32.41%, presumably attributed to the widespread use of unleaded petrol. This suggests that policy adjustments can effectively regulate heavy metal pollution levels. However, the average concentration of Cr increased by 68.03%, and the high-concentration center shifted from the southwestern to the northeastern part of Nantong. The large-scale relocation of factories from riverside to coastal areas in Nantong likely contributed to this phenomenon. Evidently, the changes in heavy metal concentration in surface soils clearly exhibited policy-driven characteristics. Therefore, it is recommended that when formulating or adjusting relevant policies, it is imperative to comprehensively consider their potential impacts on soil heavy metal contamination. This is crucial for ensuring the overall effectiveness of the policies in terms of the sustainability of the soil environment. This article provides valuable insights for understanding heavy metal accumulation in Nantong and offers guidance for promoting future industrial upgrading and strategic planning, which is of great significance in guiding the improvement in soil quality and ensuring its sustainable use.

Determination of Ethanol Content in Gasoline Fuel Using Raman Spectroscopy

The ability to detect the ethanol rapidly and sensitively in ethanol–gasoline blends has become important in recent times, both for engine performance and for fuel economy. In order to achieve this, a deterministic methodology based on Raman spectroscopy is employed for quantitative estimation of ethanol in commercial ethanol–gasoline blends of fuel. The different concentrations of anhydrous ethanol were mixed with pure gasoline to calibrate the Raman spectroscopy measurement setup. The variation in the ratio of the heights of Raman peaks at wavenumbers ∼885 and 1005 cm–1 is found to be linear with the fractional volumes of ethanol and gasoline in the blends. Using this methodology, the volume percentage of ethanol in commercial gasoline is determined to be ∼10%. This methodology can also be adopted for detection of other additives/adulterants in commercial gasoline.

Critical Concerns Regarding the Transition from E5 to E10 Gasoline in the European Union, Particularly in Poland in 2024—A Theoretical and Experimental Analysis of the Problem of Controlling the Air–Fuel Mixture Composition (AFR) and the λ Coefficient

The RED II Directive requires European Union member states to increase the share of renewable energy in the transport sector to at least 14% by 2030. In January 2024, Poland replaced E5 gasoline (95 octane) with E10, which contains up to 10% bioethanol derived from second-generation sources such as agricultural residues. The transition to E10 raises concerns about the ability of engine management systems to adapt to its different air–fuel ratio (AFR) requirements. The AFR for E10 (13.82) is 1.98% lower than for E5 (14.25) and 3.88% lower than for pure gasoline (14.7). Research conducted on a spark-ignition engine (with AFR regulation) using an exhaust gas analyzer demonstrated that during the combustion of E5 and E10 fuels with correctly adjusted AFR and operation at λ = 1, the use of E10 potentially increases CO2 and NOx emissions despite reductions in CO and HC. However, when calibrated for E5 and operated with E10 fuel, an increase in CO2 and HC concentrations in the exhaust gases is observed, along with a reduction in CO and NOx. This phenomenon is attributed to operation with lean mixtures, at λ = 1.02. This study investigates both the theoretical and experimental impact of this fuel transition. Fuel systems typically adjust engine operation based on exhaust gas analysis but cannot recognize fuel type, leading to incorrect λ values when the AFR differs from the ECU’s programming. Effective adaptation would require additional fuel composition sensors and editable ECU mappings. For older vehicles or small non-road engines, manual adjustments to injection or carburetor systems may be necessary.

Comparison of the performance of a spark ignition engine fueled by a mixture of isooctane and unleaded gasoline: an experimental and numerical analysis

Abstract This pioneering study focused on evaluating four distinct compositions, in addition to standard gasoline, within a spark ignition engine, following the rigorous specifications of the DIN70020 standard, under full load conditions. The meticulously conducted tests involved the introduction of varying volumes of isooctane (10%, 20%, 30%, and 40%) into the mixture, thus opening new perspectives on performance and combustion characteristics in a realistic engine operation context. The addition of isooctane, a key component of commercial unleaded gasoline, presents significant advantages in the context of spark ignition engines. This is primarily due to the high vaporization enthalpy of isooctane, a property that directly impacts combustion processes. Indeed, this characteristic reduces the maximum temperature reached in the engine cylinder, thereby contributing to a notable decrease in nitrogen oxides (NOx) emissions. Rigorous experiments demonstrated a significant reduction in emissions, reaching up to 5% for the I10 blend (10% isooctane +90% commercial unleaded gasoline), accompanied by a notable improvement in the maximum value of the indicated mean effective pressure and overall efficiency. These empirical findings were corroborated by numerical simulations using the DIESL-RK software, revealing an average convergence of results ranging from 0.47% to 3.92%. This combination of experimental approaches and numerical modeling thus provides a thorough understanding of the potential benefits of incorporating isooctane into unleaded gasoline, paving the way for future innovations in fuel and engine optimization.

Numerical simulation of the effect of adding oxygenated fuel (ethanol) to commercial gasoline on engine performance and NOx emissions

Abstract Spark-ignition engines are still widely used in the transport sector. With the price of oil continuing to rise and fossil fuel reserves dwindling, the appeal of renewable alternative fuels is felt. It is therefore with a view to verifying the influence of the integration of different oxygenated fuels in petrol on engine performance and pollutant emissions that this experimental and numerical research was conducted. Ethanol, which is an oxygenated fuel, has been tested in blends with unleaded commercial gasoline at concentrations of 10%, 20%, 30% and 40% in a spark-ignition engine. Little variation was diagnosed in the stability of combustion. It was also observed that the addition of oxygenated fuels led to a significant decrease in NOx emissions of 7.5% for E10 (10% ethanol + 90% unleaded commercial gasoline) with the maintenance of engine performance (torque and power). This is probably due to a lower combustion temperature. A numerical study confirmed the experimental data for performance, torque and power. However, the multi-resource DIESEL RK software used for this study was developed to account for the effect of the chemical composition of a given fuel on its ability to form NOx emissions, particularly in the case of ethanol. To do this, the numerical study confirmed the experimental trends for E10, E20, E30 and E40 with a mean divergence value ranging from 0.48% to 5.07%.

Effect of Isobutanol/Gasoline Blends on the Performance and Emissions of an Otto Engine-Powered Vehicle Operating on a Driving Cycle

Abstract This study experimentally investigates the performance and emissions of a typical vehicle in the Latin American automobile sector—specifically, a 1.6L spark ignition engine with port fuel injection (PFI) was used. The tests were performed using a Mustang MD150 chassis dynamometer under transient running conditions following the worldwide harmonized light test cycle (WLTC). Commercial gasoline (containing 10 vol% ethanol; E10) was blended with 10, 20, and 30 vol% of isobutanol. Results reveal that despite the reduction in the fuel lower heating value (LHV), adding the isobutanol B20 blend can improve the fuel economy by up to 6%. Similarly, when the alcohol content in the blend increased, the carbon monoxide (CO) and hydrocarbon (HC) emissions decreased by 10.5% and 10.2%, respectively. Furthermore, the B30 blend resulted in the lowest emissions but had the highest fuel consumption. Notably, these results were achieved without any adjustments to engine key components. Thus, the effects of isobutanol were consistent with the increase in octane and oxygenation of fuel blends.

Valorisation of Combustible Wastes to Gasoline; Its Potentials and Hurdles in Nigeria

One of the environmental problems facing developing countries, including Nigeria; is the inadequacy of efficient waste management facilities. Wastes can constitute environmental, social and economic nuisances if the wastes are not properly disposed of. The aim of this study was to evaluate the feasibility for valorisation of combustible wastes to gasoline as a measure to resolve problems associated with the improper disposal of the wastes. The experimental procedure involved heating about 10kg of ground low density polyethylene wastes in a pyrolysis reactor at temperature range of 138 o C and 358 o C. About 75 ml of liquid fuel produced was collected and put in a round bottom flask for further separation through fractional distillation process. The volumes of three liquid fractions obtained during the fractional distillation process at 27 o C, 42 o C and 75 o C were 7mL, 20mL and 40 mL, respectively. The liquid fraction obtained at 27 o C evaporated when left uncovered for about 3 hrs. Analysis of liquid fraction obtained at 75 o C showed that the fraction had close physicochemical properties with commercial gasoline. This implies its high probability of powering electricity generator and gasoline automobile. The outcome of the research work will definitely contribute to reduction of the amount of wastes in the environment as it would enable the wastes to be used as raw materials for liquid fuel production for use in power generation. Additionally, the findings of this study will contribute to providing alternative source for conventional gasoline.

OIL PRICE FLUCTUATIONS AND MACROECONOMIC INDICATORS: AN ARDL AND NARDL APPROACH

This study investigates the effects of oil price fluctuations on Nigeria’s macroeconomic indicators from 2015 to 2023, focusing on inflation and economic growth. Utilizing Autoregressive Distributed Lag (ARDL) and Nonlinear ARDL (NARDL) models, we analyze the short-term and long-term impacts of variables such as Premium Motor Spirit (PMS) prices, exchange rates, money supply, interest rates, and economic uncertainties. Results reveal significant short-term effects of oil price increases on inflation and GDP, with asymmetric influences observed in exchange rate movements. The long-term analysis confirms cointegration relationships but underscores slow adjustment speeds for inflation and GDP equilibrium. Recommendations include strengthening monetary policy, stabilizing the exchange rate, and adopting strategies to mitigate oil price volatility’s adverse effects.

Energy Utilisation and Household Consumption in Rivers State

In this study, the link between energy utilisation and household consumption was examined. The energy utilization comprised both solid and non-solid fuels such as electricity, liquified petroleum gas (LPG), premium motor spirit (PMS), kerosene and charcoal. A well-structured questionnaire was used to obtain the required primary data from a sample of 384 households across the three senatorial zones in Rivers State. The data analyses integrate both descriptive and inferential statistics with a focus on frequency counts, simple percentages, mean ratings and ordered logit regression analysis. The distribution of the households based on their consumption level showed that 132 (34.38%), 124 (32.29%) and 128 (33.33%) of the respondents in the survey reported fair, good and excellent consumption respectively, indicating that the majority of them experience fair consumption. The marginal effects results of ordered logit regression showed that electricity use significantly increases the probability of reporting better consumption (from fair, good to excellent) by 0.582%. Similarly, the results showed that LPG utilization increases the probability of reporting better consumption by 1.97%. This finding highlights the importance of access to clean energy on household consumption. In addition, the results showed that the use of charcoal significantly increases the probability of reporting better consumption by 0.125% while PMS utilization significantly decreases the probability of reporting better consumption (from fair, good to excellent) by 0.164%. Given the findings, this study recommends that government should prioritise a stable electricity supply by investing in infrastructure upgrades and build synergy with the private sector to improve LPG supply to enhance availability and affordability of energy for better household consumption.

EXPLORING THE INFLATIONARY AND ECONOMIC EFFECT OF THE ABSENCE OF COINS IN TRADE (PMS) TRANSACTIONS IN NIGERIA: A DATA-DRIVEN APPROACH

Coins are still widely used in financial transactions in various countries, including Nigeria, despite their economic importance. However, in Nigeria, people often do not realize how their attitudes and tastes toward coins' rejection contribute to inflation. This study employed the ARIMA model, the autoregressive (VAR) model, and the random forest machine learning method to analyze the impact of differentials from pump premium motor spirit (PMS) price changes on economic uncertainty and the inflation rate. The ARIMA model forecast showed that the absence of coins increases inflation for ahead periods. The impulse response from the VAR model shows a significant positive effect of the variables that can cause a significant response from the economic policy uncertainty, though with a zero value at the end period. The forecast variance error decomposition of the VAR model shows that the NPP variable, SPP variable, and ZPP variable increasingly contributed to the variations of economic uncertainty, more specifically in the long term. The machine learning method revealed that the ZPP and NPP variables have more importance and contribution in estimating economic uncertainty among study variables in Nigeria, with a small contribution from the SPP variable using the random forest method. The mean square error and node impurity increased the most when the ZPP variable was randomly permuted. The study emphasizes the adverse effect of coins' rejection or absence in the economy and argues that a coin's return can have a significant positive impact on the Nigerian economy by reducing inflation and facilitating financial inclusion.

AN ENHANCED MODEL FOR PREMIUM MOTOR SPIRIT (PMS) PRICE PREDICTION AND MANAGEMENT IN NIGERIA USING MACHINE LEARNING

Forecasting Premium Motor Spirit (PMS) prices accurately is crucial for economic stability and effective decision-making in Nigeria. Premium Motor Spirit (PMS), which is also known as petrol or fuel, plays a pivotal role in the country's economy, impacting transportation costs, inflation rates, and overall economic growth. However, the unpredictability of PMS prices prediction and management is influenced by factors like government policies, international oil markets, supply chain disruptions, stakeholders and interested cartels amongst others. This has created a constant price fluctuation, poor price control and management which eventually lead to fuel scarcity and high cost of fuel. The price control mechanism remains a contentious issue, with debates over its impact on the economy, government spending, and the welfare of ordinary Nigerians. This article presents an enhanced model for Premium Motor Spirit (PMS) price prediction and management in Nigeria using machine learning that will improve the price prediction and management system that will produce high degree of accuracy. The system was developed using visual studio C#, ML.Net model and Microsoft SQL server for its backend database. This model identifies key factors impacting PMS prices prediction and management that is used to forecast PMS prices over a specified time horizon such as daily, weekly, or monthly thereby enhancing economic planning and stability in Nigeria.