Engine Power Output Research Articles

Simulation study on the effect of intake charge temperature and ignition timing on the performance of a converted biogas engine

This study conducts a simulation analysis of the performance and emission characteristics of a biogas-fueled engine using the thermodynamic simulation tool AVL Boost. The original diesel engine model was modified by lowering the compression ratio and enhancing mixture formation to enable operation with biogas. Key engine parameters such as airflow mass, brake torque and power, fuel consumption, emission outputs, and in-cylinder parameters were evaluated. The simulation results indicate that, under biogas operation, NOx emissions decrease significantly, while CO emissions rise compared to diesel-fueled operation. Although the engine’s brake power shows a decline when fueled by biogas, fuel efficiency demonstrates an improvement trend. Additionally, the impact of ignition timing and charge temperature on engine behavior was examined. Findings suggest that the optimal ignition timing for biogas engines should be set between 11° and 19° crank angle before top dead center. The intake charge temperature affects the combustion process and the engine's output power. Ideally, the intake air temperature should be maintained below 50°C to ensure optimal engine performance and technical reliability.

Investigating the Effect of Injection Start Time in Compression Ignition Engine: A Reactive Control on Waste Heat Recovery Capacity

Approximately one-third of the energy supplied to the cylinder of an internal combustion engine is transformed into effective work, while the remaining energy is dissipated in multiple ways. Offering solutions that can recuperate some of the energy the engine wastes is important and beneficial. This research examines how the timing of injection start influences the ability to reclaim waste heat in a reactive control compression ignition engine. Following the validation, the diesel fuel injection timing was adjusted. Their effects on exergy destruction, productivity coefficient, engine output power, and produced pollutants have been studied. The results showed that by advancing the start time of fuel injection, parameters such as the efficiency of the first law of thermodynamics and pollutants such as unburned hydrocarbons and carbon monoxide increased and decreased, respectively. In addition, the exergy resulting from the heat transfer has increased due to the high heat transfer due to the high temperature of the load inside the cylinder. Therefore, the high temperature has caused the irreversibility to increase due to the increase in the number of chemical reactions. The efficiency of the system increased with advanced fuel injection start time.

Performance Study of Spark-Ignited Methanol–Hydrogen Engine by Using a Fractal Turbulent Combustion Model Coupled with Chemical Reaction Kinetics

Methanol, a renewable and sustainable fuel, provides an effective strategy for reducing greenhouse gas emissions when synthesized through carbon dioxide hydrogenation integrated with carbon capture technology. The incorporation of hydrogen into methanol-fueled engines enhances combustion efficiency, mitigating challenges such as pronounced cycle-to-cycle variations and cold-start difficulties. A simulation framework was developed using Python 3.13 and the Cantera 3.1.0 library to model the combustion system of a four-stroke spark-ignited (SI) methanol–hydrogen engine. This framework integrates a fractal turbulent combustion model with chemical reaction kinetics, complemented by early flame development and near-wall combustion models to address limitations during the initial and terminal combustion phases. The model was validated by using experimental data measured from a spark-ignited methanol engine. The effects of varying Hydrogen Energy Rates (HER) on engine power performance, combustion characteristics, and emissions (like formaldehyde and carbon monoxide) were subsequently analyzed under different operating loads, whilst the knock limit boundaries were established for different operational conditions. Findings demonstrate that increasing HER improves the engine power output and thermal efficiency, shortens the combustion duration, and reduces the formaldehyde and carbon monoxide emissions. Nevertheless, under high-load conditions, higher HER increases the knocking tendency, which constrains the maximum permissible HER decreasing from approximately 40% at 15% load to 20% at 100% load. The model has been developed into a Python library and will be open-sourced on Github.

Optimizing Material Selection for Automotive Piston Components Using a Multi-Criteria Decision-Making Approach

Piston component material choices for automobiles plays a crucial role in ensuring engine performance, durability, and efficiency. Several factors are considered when choosing these materials. Firstly, high strength and wear resistance are essential to withstand the demanding conditions within the engine cylinder. Aluminium alloys with outstanding strength-to-weight ratios and thermal conductivity, including Al-Si, Al-Si-Cu, and other combinations of aluminium, silicon, and copper are frequently used in construction. Secondly, thermal stability is vital to withstand high operating temperatures. Materials like cast iron and steel alloys are favored for their superior heat resistance. Thirdly, low friction and good lubrication properties are necessary for efficient engine operation. For this purpose, materials with surface treatments such as thermal spray coatings or friction-reducing coatings are employed. Lastly, considerations for cost, manufacturability, and environmental impact also influence material selection. Therefore, a comprehensive evaluation of mechanical properties, thermal stability, friction characteristics, and overall cost-effectiveness guides the selection process for automotive piston components. The research significance of Material selection for Automotive piston components lies in its direct impact on engine performance, efficiency, and durability. Optimizing the choice of materials can lead to enhanced fuel economy, reduced emissions, and increased engine longevity. By conducting research in this field, several key advancements can be achieved. Firstly, exploring new materials or alloy compositions can result in improved mechanical properties, allowing for higher engine power outputs without compromising reliability. This can lead to the development of more efficient and high-performance engines. Secondly, investigating surface treatments and coatings can reduce friction and wear, resulting in reduced energy losses and increased engine efficiency. Furthermore, it can contribute to the development of environmentally friendly engines with lower emissions. Lastly, considering the cost-effectiveness of materials and their manufacturing processes can lead to more affordable and accessible automotive technologies, benefiting both manufacturers and consumers. Overall, research in Material selection for Automotive piston components holds significant potential for advancing engine technology, improving environmental sustainability, and enhancing the overall driving experience. This uses the multi-criteria decision-making approach known as Weighed Aggregated Sum Product Assessment. It entails giving several criteria weights and evaluating options in accordance with those criteria. Each alternative is given a score based on its weights, and the alternative with the greatest score is deemed to be the most favourable. It helps in decision-making processes where multiple criteria need to be considered simultaneously. Alternative Parameters taken as “Porcelain, LM-26 alloy +0 wt.%, and LM-26 alloy +2 wt.% Porcelain, +4 wt% LM-26 alloy Porcelain with LM-26 alloy added to it by either 6% or 8% Porcelain” Evaluation Parameters taken as “Hardness (Hv), Density (g/cc), Tensile strength (MPa), Compressive strength (MPa), and Flexural strength (MPa) With a load of 45 N, a speed of 3.768 m/s, and a friction coefficient of (), the specific wear rate (in mm3/N-m) is calculated. 3.768 m/s is the speed.” This demonstrates the rank of the data set LM-Alloy (+6 wt.% Porcelain, is on 1st rank, +4 wt.% Porcelain, is on 2nd rank, +8 wt.% Porcelain, is on 3rd rank, +2 wt.% Porcelain, is on 4th rank, +0 wt.% Porcelain, is on 5th rank). The choice of material for automotive piston components is crucial in influencing the effectiveness and performance of an engine as a whole. Several factors are considered when choosing the appropriate materials. Strength is crucial to withstand the high pressures and temperatures inside the combustion chamber. Heat resistance is necessary to prevent thermal expansion and maintain dimensional stability. Durability is essential to withstand the repetitive loading cycles and resist wear and tear. Additionally, weight is a significant consideration for improving fuel efficiency and reducing emissions. In conclusion, the careful selection of materials for automotive piston components is crucial in achieving optimal engine performance, durability, and fuel efficiency.

Quantum thermoelectrics in closed circuit with non-equilibrium electrons

The influence of a non-equilibrium classical environment on the parameters of a quantum heat converter in a closed circuit at a given (non-zero) output power is theoretically investigated. It is shown that the non-equilibrium of the electron distribution function in metal terminals contributes to the kinetic coefficients of the linear approximation. Analytical expressions of the Seebeck and Peltier coefficients are obtained, considering the non-equilibrium in the terminals when electric current and heat flow through the system. The influence of non-equilibrium on the theoretical power limit and efficiency of the heat engine at a fixed output power is also determined. Closed-form solutions were obtained for the quantum bound of the heat engine output power and the theoretical limit of the heat conversion efficiency at a given output power in quantum systems with a non-equilibrium environment for certain limited cases. A spectroscopic thermoelectric method for studying quantum systems is proposed.

Eco-Friendly Nano-Additives: Energy, Exergy, and Environmental Impacts in Motor Vehicle Emission Control

This study investigates the performance and emission behavior of borax decahydrate nanoparticles when blended with biodiesel and commercial diesel fuels in diesel engines. Experimental tests were conducted at five different engine power levels: 1 kW, 2 kW, 3 kW, 4 kW, and 5 kW-to evaluate the impacts of these fuel blends on engine performance, emissions, energy efficiency, exergy, and exergoenvironmental parameters. The data collected demonstrated a general trend where higher engine power output led to increased heat generation. Among the tested blends, the D40W50P1 fuel achieved efficiencies of 15.236%, 15.466%, 18.290%, 25.606%, and 24.258% at the respective power levels, highlighting the positive effect of borax nanoparticle addition on engine performance. The inclusion of borax nanoparticles particularly improved the performance of diesel/waste cooking oil blends. The results also revealed that the D50W50 fuel blend performed optimally at 2 kW, whereas the D40W50P3 blend showed a notable improvement, achieving an efficiency increase of 12.10%. Furthermore, sustainability index values were consistently above 1, indicating a favorable environmental and energetic balance for all tested fuel blends. The lowest recorded sustainability index was 1.123, observed for the D50W50 blend. In terms of exergoenvironmental analysis, the D40W50P2 fuel blend demonstrated carbon dioxide (CO₂) emissions of 311.69 kg/month at 1 kW and 786.34 kg/month at 5 kW. These results highlight the potential of borax nanoparticle additives to not only improve fuel efficiency and engine performance but also contribute to reducing environmental emissions. The results indicate that boron additives can enhance engine performance and energy efficiency while reducing CO₂ emissions. Additionally, the improvement in the sustainability index reveals the potential of boron-based fuels from both environmental and economic perspectives. These findings serve as an important reference for future research and industrial applications related to alternative fuel additives.

Investigation of the Effect of Adding Nitrogen on the Torque Generated by a Four-Cylinder Engine

The engine's power stroke involves injecting LN2 into the cylinder at the top dead centre, allowing nitrogen and air gas to escape. This process, without combustion, overcomes engine friction losses, enabling intake, compression, and output power. Previous studies have focused on improving diesel engine efficiency by adding materials like hydrogen, NO2, clean gasoline, ammonia, LN2, NO, and NOX and altering engine design and spark plugs. This study explores the potential benefits of liquid nitrogen-fuelled automobile engines despite their past inefficiency and similarity to compressed-air engines due to energy waste. The study underscores the potential of nitrogen gas addition in improving the cleanliness and efficiency of diesel engines, paving the way for further research and advancements. Uses CFD simulations to analyze the impact of nitrogen gas concentration on combustion effectiveness, emissions, and performance metrics of a compression-ignition diesel engine, explicitly focusing on nitrogen oxide and particulate matter emissions and their influence on mixture flow velocity. The addition of nitrogen gas significantly impacts combustion dynamics, altering temperature and pressure patterns. The mass flow rate and velocity are positively correlated, and the crankshaft deforms more rapidly with engine rotational speed. Nitrogen gas concentrations affect deformation and pressure, with higher values observed at 1800 RPM and 2200 RPM. The combustion process can be enhanced by adding hydrogen concentrations, changing engine shapes and designs, or using different fuel types. Nitrogen gas concentrations inversely relate to temperature, with higher concentrations causing lower temperatures, which is consistent with nitrogen gas's primary role in reducing engine temperature. Nitrogen gas concentration is linked to pressure gradients.

A Novel Approach for the Systematic Evaluation and Optimization of Performance and Emissions in Hybrid Electric Propulsion Systems

In the maritime industry, the adoption of hybrid electric propulsion systems aims to enhance energy efficiency and environmental sustainability. However, this study originates from the fundamental question: ‘Are hybrid systems truly environmentally friendly?’ Ensuring optimal system performance requires accurate load analysis and an effective energy management system. Existing studies have limitations in addressing real-time load variability, long-term load patterns, and scalability across different operational conditions. To address these, this study proposes a standard load analyzer based on main engine power output data to conduct performance analysis. Using MATLAB/Simulink simulations and Excel VBA-based methods, the system evaluates key performance factors under various operational load conditions. Cross-validation between MATLAB and Excel ensured high accuracy, with a relative error rate below 0.01%. The results showed consistent performance indicators, offering reliable insights across vessel types and scenarios. The system’s lightweight design and rapid data acquisition enable effective energy management optimization. However, it has limitations in performing detailed analyses for life cycle assessment, operating expenditures, and capital expenditures. Future advancements in data consolidation and analytical methods will help the tool evolve into a comprehensive tool for multi-dimensional performance evaluation, addressing economic, environmental, and technical aspects.

Experimental and computational fluid dynamics analysis on the influence of fuel injection pressure on engine's behavior of a gasohol based gasoline direct injection engine

Abstract This work examines the impact of fuel injection pressure (FIP) on engine's behavior of a multi cylinder gasoline direct injection (GDI) engine using gasohol (85% gasoline+15% ethanol by mass) as fuel. The FIP was varied from 90r to 120 bar at 10 bar intervals with the fuel injection timing 320° before top dead center (BTDC). experiments were performed at variable power at a constant speed of 2500 rpm. Computational fluid dynamics (CFD) simulations were carried out for the above said conditions to understand engine's behavior. Considering the conventional FIP (i.e.90 bar), increasing the FIP showed improvement in engine's brake thermal efficiency (BTE) up to110 bar. The maximum BTE was observed as 33.5% at the engine power output of 21 kW (where as it was 27.2% with the FIP of 90 bar). CFD results confirmed the improvement in the air‐fuel mixing rate and swirl motion due to the increased FIP. The hydrocarbon (HC) and carbon monoxide (CO) emission were reduced with increased FIPs. CFD results on the HC and CO emissions indicated well agreement with the experiments. With the higher injection pressures, oxides of nitrogen (NOx) emissions showed an increase at all loads. The in cylinder pressure was observed to be higher with higher FIPs. It is concluded that increasing the FIP might improve performance and lower HC and CO emissions of a Gasohol based fuel in GDI engine. The optimized FIP of 110 bar could be recommended for the aforementioned engine's greatest performance without any modifications in the engine design while injecting the fuel at 320° BTDC. Increase in NOx emissions at higher injection pressure needs attention. The present study restricted the amount of ethanol as 15% by mass. Higher proportions of ethanol admissions require major modifications in the engine design.

Dendrite neural network scheme for estimating output power and efficiency for a class of solar free-piston Stirling engine

ABSTRACT This paper presents the dendrite neural network (DNN) scheme for predicting two challenging parameters, namely the output power and efficiency of the solar free-piston Stirling engine (FPSE). This paper utilizes vital characteristics to predict the output power and efficiency accurately. MSE and regression analysis are employed to investigate the reliability of the proposed DNN structure. As a result, not only was the MSE close to zero, but the regression outcomes were also very close to 1, which confirmed the reliability of the DNN. In the next step, several experimental case studies are used to study the effectiveness of the proposed DNN more thoroughly. Therefore, a maximum error of 5% was observed, confirming good agreement between the empirical data and the predictions made by the DNN. Lastly, through the simulation and experimental investigations, it can be concluded that the method is reliable and can be used for other types of FPSEs.

The Impact of Mechanical Losses on Engine Power of a Wheeled Vehicle under Cylinder Deactivation

A methodology for calculating mechanical losses in internal combustion engines has been proposed, enabling the assessment of the influence of the number of deactivated cylinders on the effective power output of a wheeled vehicle engine with an accuracy of approximately 10%. This method allows for the estimation of mechanical power losses and the mechanical efficiency (mechanical efficiency coefficient) under varying engine operating conditions. It has been determined that when half of the engine cylinders are deactivated, the nominal power output decreases to approximately 35–40% of its full-capacity level. The discrepancy between the experimental and calculated values of the mechanical loss power change coefficient does not exceed 8%. At the same time, the deviation between the calculated and experimental values of the engine load coefficient based on power remains within 5%. Additionally, it has been established that mechanical efficiency increases by up to 7% when the engine is operated at a 48% load level, which indicates improved energy utilization under partial load conditions. Furthermore, it was observed that as the number of deactivated cylinders increases, the magnitude of mechanical power losses correspondingly increases, while the mechanical efficiency of the engine decreases. This is primarily attributed to the redistribution of internal mechanical resistances within the engine and the non-linear behavior of frictional forces and parasitic losses under partial load regimes. A clear correlation between the mechanical efficiency and the effective engine power has been identified. Specifically, an increase in the number of deactivated cylinders (as a factor variable) leads to a rise in mechanical losses (as a response variable) and a reduction in mechanical efficiency. These findings provide a theoretical and practical foundation for optimizing engine control strategies in variable load conditions and contribute to enhancing overall fuel efficiency and operational performance of wheeled vehicles.

Effect of engine cylinder deactivation on fuel economy and crankshaft speed variations

In this paper the cylinder deactivation technique in spark ignition engines was investigated. The potential of this concept was analysed using engine working cycle simulation model AVL Boost. The engine power output regimes corresponding to the vehicle moderate constant driving speeds were considered and the results show that at that low load engine operating regimes cylinder deactivation can enable fuel economy improvement of about 6%-13% and corresponding CO2 emission reduction. The angular speed variations of engine crankshaft under cylinder deactivation conditions were also analysed and it was found that the speed variations increase several times compared to the standard operation of the engine with all active cylinders.

Reasonable ballasting of wheeled tractors when used in zonal tillage technologies

BACKGROUND: The relevance of reasonable ballasting of a new generation of wheeled 4K4a tractors on single (1k) and dual rear (2k’) wheels with an operating weight adjustable over a wide range when used in zonal tillage technologies is shown. OBJECTIVE: Justification of levels of reasonable ballasting of the new generation wheeled 4K4a tractors in soil cultivation operations. METHODS: The specific weight of the tractor is taken as the main adapting parameter, the reference value of which is the ratio of the operating weight with full ballast to the engine power output in the nominal traction mode for operations of the first group (moldboard plowing) at a velocity of 2.50 m/s (9.0 km/h), ensuring full implementation of potential capabilities. RESULTS: The reference levels of specific gravity based on the results of modeling and experiments are 67.3 (1k) and 70.0 (2k’) kg/kW and determine the maximum value of the operating weight of a tractor of the declared power. For operations with lower energy intensity, the second and third groups, with a nominal velocity of 2.90 and 3.33 m/s, its optimal values are reduced by 16 and 33% respectively, which determines the feasibility of their implementation with minimal ballasting with a specific gravity of 58.0–60.0 kg/kW. At the same time, the reasonable use of a tractor with full ballast is limited to the velocity range of 7.6–10.0 km/h in operations of the first and second groups, and the velocity range of 10.0–13.0 km/h with a minimum ballast when performing operations of the second and third groups. Tractor operation with full ballast during operations of the third group at a velocity of 12–13 km/h is accompanied by an increase in the harmful impact of propulsion on the soil and an increase in fuel consumption to 0.7–0.9 l/h to move each ton of excess mass. CONCLUSIONS: The proposed ballasting options ensure the implementation of the potential capabilities of the new generation tractors at operational tillage technologies with a minimal increase in operating labor intensity.

Advanced Diesel Engine Emission Control: Current Technologies and Future Alternatives

In an era increasingly focused on decarbonization and electrification, diesel engines, known for their high emissions, are being phased out in certain sectors, such as light and heavy-duty vehicles. However, the high thermal efficiency, durability, and superior power and torque output of diesel engines remain indispensable in various applications. As governments worldwide implement stringent emission standards, it is crucial for diesel engines to control their emissions to comply and stay relevant. This paper reviews recent advancements in diesel emission control, detailing the composition of diesel emissions and their detrimental effects on the environment and human health. It explores the operating principles and effectiveness of current emission control technologies, including water injection, post-injection, multiple injection, selective catalytic reduction (SCR), lean NOx traps (LNT), and turbocharging. Additionally, the paper examines the future of diesel engine development by evaluating the principles and potential of alternative fuel technologies such as hydrogen-diesel dual-fuel engines and dimethyl ether as a fuel. This comprehensive analysis aims to provide insights into sustainable diesel engine advancements that align with global emission reduction goals.

基于青饲收割机关键部件的动力检测技术与设备的研究与开发

The study focuses on the self-propelled forage harvester and analyzes various parameters such as the working speed and torque of the cutting table, chopped roll, throwing fan, walking parts, and the output flow rate and pressure of the hydraulic pump of the feeding section. Field experiments show that the fan, walking, chopping roller, and grain crushing roller drive powers account for 7-8%, 7-10%, 24-28%, and 13-21% of the engine power, respectively. The driving power of the inner and outer sides of the cutting table, fan, and walking power account for a relatively stable proportion of the engine output power. The study collects and analyzes operation parameters simultaneously to provide a reference for evaluating the performance and optimizing the design of corn forage harvesters.

Performance improvement with boosted intake pressure and hydrogen enriched biogas and producer gas-fuelled SI engine

Performance improvement with boosted intake pressure and hydrogen enriched biogas and producer gas-fuelled SI engine

Simulation of Ground Power Unit-3 Stirling Engine With Air as Working Fluid

Abstract The immediate need to mitigate climate change presents a chance to move civilization in the direction of a more sustainable future. A Stirling engine has multifuel capabilities such as biomass, solar thermal, and waste heat and hence can contribute significantly to the energy mix of fuel sources. The most common working fluids for Stirling engines are hydrogen, helium, and air, with air being the least expensive and safest. Studies analyzing Stirling engine performance with 3D CFD are limited, and even fewer use air as the working fluid. This research presents a novel 3D CFD analysis of the Ground Power Unit-3 (GPU-3) Stirling engine with air as the working fluid using ansys fluent. The fluid domain was modeled in SolidWorks and one-eighth of the geometry was used for simulation with realizable enhanced wall treatment (EWT) k–ε as an eddy viscosity model. On average, there was a reduction in power output by 50% when air was used as working fluid against helium as working fluid. Engine's power output decreases as the engine's speed increases. The impinging effect contributes to vortex formation and temperature variation within the engine components was nonsinusoidal, this is in line with similar studies performed on GPU-3 Stirling engine.

Method for Helicopter Turboshaft Engines Controlling Energy Characteristics Through Regulating Free Turbine Rotor Speed and Fuel Consumption Based on Neural Networks

This research is devoted to the development of a method for helicopter turboshaft engine energy characteristics control by regulating the free turbine rotor speed and fuel consumption using neural network technologies. A mathematical model was created that links the main rotor and free turbine rotor speed parameters, based on which a relation with the engine output power was established. In this research, a differential equation was obtained that links fuel consumption, output power, and rotor speed, which makes it possible to monitor engine dynamics in various operating modes. A fuel consumption controller was developed based on a neuro-fuzzy network that processes input data, including the desired and current rotor speed, which allows real-time adjustments to improve the operational efficiency. In the research, based on the flight data analysis obtained during the Mi-8MTV helicopter with a TV3-117 turboshaft engine flight test, improved signal processing quality was obtained due to time sampling and adaptive quantisation methods (this is confirmed by assessing the homogeneity and representativeness of the training and test datasets). A comparative analysis of the developed and traditional controllers showed that the neuro-fuzzy network use reduces the transient fuel consumption process time by 8.92% while increasing the accuracy and F1 score by 18.28% and 21.32%, respectively.

Geothermo-mechanical energy conversion using shape memory alloy heat engine

The shift towards renewable energy sources like geothermal energy has become desirable due to the recurrent energy crisis and global warming challenges influenced by fossil fuels. Geothermo-mechanical energy conversion using shape memory alloy (SMA) heat engines presents a novel and sustainable approach for harnessing geothermal energy. Shape memory alloys, known for their ability to undergo reversible phase transformations driven by temperature changes, are ideal for thermal-to-mechanical energy conversion. This paper explores the design and performance of an SMA heat engine that utilizes geothermal heat sources to drive mechanical work. The engine operates by cycling between the high-temperature geothermal environment and a cooler sink, exploiting the shape memory effect to generate mechanical motion. By integrating geothermal energy and SMA technology, this system offers a potential solution for renewable energy generation, with applications in remote or off-grid locations. The paper also investigates output power and the thermodynamic efficiency. A model is formulated and the engine behavior is simulated. A series of experiments are conducted for engine output power and efficiency. The model is compared to the experimental data for validation. The engine developed a maximum power of 3.5, 8.5, and 11.5 watts at 60, 80, and 90 °C respectively. The proposed SMA-based geothermo-mechanical energy conversion system offers a promising solution for efficient, reliable, and scalable geothermal energy harvesting. This research contributes to the development of innovative, efficient geothermal energy conversion technologies, supporting global renewable energy goals and reducing greenhouse gas emissions. This innovative energy conversion mechanism could play a key role in the future of sustainable power generation.

Pyrolysis of plastic fishing gear waste for liquid fuel production: Characterization and engine performance analysis

Plastic waste originating from fishing gear, composed of both polyethylene (PE) and polyamide (PA) materials, constitutes a pressing environmental concern. Addressing this issue, pyrolysis emerges as a transformative avenue, converting plastic waste into liquid fuel that can serve as an alternative energy resource. This research ventures into a comprehensive investigation of the physical properties intrinsic to plastic oil, encompassing pivotal attributes such as viscosity, density, cetane number, and calorific value. By delving into these properties, the study aims to shed light on the potential of plastic oil as a viable energy source and to understand its applicability within the realm of sustainable fuel alternatives. However, this study's scope extends beyond the elucidation of physicochemical intricacies. Beyond characterizing plastic oil, the research embarks on a holistic exploration encompassing engine performance when employing plastic oil in synergy with a 10% plastic oil and 90% biodiesel blend. This synthesis of fuel types becomes a pivotal aspect of the study's inquisition, culminating in the assessment of engine torque, power output, and Specific Fuel Consumption (SFC). The outcome of these engine tests unveils intriguing insights—peak torque emerged with a 10% PE plastic oil blend, registering at 18 NW, while the highest power output occurred with PE plastic oil, reaching 3.9 kW. Moreover, the dynamic interplay between plastic oil blends and engine efficiency is highlighted, as evidenced by the highest SFC value obtained with a 10% PA plastic oil blend, measuring 12.298 g/Kw.min. The ramifications of this study reverberate far beyond the confines of the laboratory, resonating with the dire need for sustainable energy solutions. By decoding the complex matrix of plastic oil properties and evaluating their seamless integration into combustion processes, this research contributes to the evolving narrative of sustainable energy utilization. As we grapple with the ramifications of plastic waste, this study offers a nuanced perspective that transcends mere material reclamation, propelling us towards an energy landscape that bridges ecological responsibility and pragmatic resource optimization.