Performance Of Compression Ignition Engine Research Articles

Optimization of performance and emission of compression ignition engine fueled with propylene glycol and biodiesel–diesel blends using artificial intelligence method of ANN-GA-RSM

The present study proposes the hybrid machine learning algorithm of artificial neural network-genetic algorithm-response surface methodology (ANN-GA-RSM) to model the performance and the emissions of a single cylinder diesel engine fueled by diesel and propylene glycol additive. The evaluations are performed using the correlation coefficient (CC), and the root mean square error (RMSE) values. The best model for prediction of the dependent variables is reported ANN-GA with the RMSE values of 0.0398, 0.0368, 0.0529, 0.0354, 0.0509 and 0.0409 and CC 0.988, 0.987, 0.977, 0.994, 0.984, 0.990, respectively for brake specific fuel consumption (BSFC), brake thermal efficiency (BTE), CO, CO2, NOx and SO2. The proposed hybrid model reduces BSFC, NOx, and CO by −30.82%, 21.32%, and 11.32%, respectively. The model also increases the engine efficiency and CO2 emission by 17.29% and 31.05%, respectively, compared to a single RSM in the optimized level of independent variables (69% of biodiesel's oxygen content and 32% of the oxygen content of propylene glycol).

Numerical Investigation of Reactivity Controlled Compression Ignition Engine Performance under Fuel Aggregation Collision to Piston Bowl Rim Edge Situation

To better homogenize the mixture of fuel and air in the combustion chamber and to enhance the controllability of ignition timing in Reactivity Controlled Compression Ignition (RCCI) engines, controlling the start of injection (SOI) timing can be essential. By changing the SOI timing, at some specific crank angles (CAs), the fuel can impact the edge of the piston bowl and create some difficulties. In this research, initially, efforts are made to recognize the range of SOI timing in which this collision process takes place (in the range of 44-54° bTDC), then, performance and the emission levels of the engine were evaluated in the beginning and end of this interval. The findings suggest that the nitrogen oxides emissions and the maximum in-cylinder mean pressure are higher in SOI of 44° bTDC, as compared to those in the SOI timing of 54°bTDC, although the latter has higher ignition delay and unburnt hydrocarbon (UHC) emission. Moreover, some evaluations were carried out to examine how the temperature of the fuel-air mixture can affect the performance of the engine in this specific range. It was found that as the IVC temperature increases, it rises the indicated mean effective pressure (IMEP), in-cylinder pressure, and NOx emission.

The influence of injection timings on performance, emission, and combustion characteristics of compression ignition engine fueled with milk scum oil biodiesel

ABSTRACT The present study involves the investigation of the suitability of methyl esters of milk scum oil (MESO) as a substitute fuel for a compression ignition (CI) engine. The MESO was synthesized by transesterification procedure and the engine characteristics (performance, emission, and combustion) are studied at retard, standard, and advanced injection timings (IT) conditions with 20 (v/v%) biodiesel blend. The study revealed an improvement in brake thermal efficiency (BTE) and brake specific fuel consumption (BSFC) for MESO fuel blend with an injection time of 21º bTDC (before top dead center) in comparison with fossil diesel. The emission characteristics such as HC, CO, and NOx were also showed improvement at 21º bTDC and were almost in line with the emissions of fossil diesel. This study infers that implementing the IT of 21º bTDC induces significant enhancement in the performance and emission characteristics of the CI engine when fueled with 20 (v/v %) of MESO.

Analysis of the impact of different nanoparticle metal oxides as fuel additives in compression ignition engine performance

Biodiesel is used as an alternative fuel in combustion engines. It produces lower carbon monoxide, unburned hydrocarbon, and particulate emissions when compared to that neat diesel. This experimental work aims to upgrade the characteristics of gases emitted, performance and combustion of CI engine. The engine model is a HATZ-1B30-2 Gunt, single cylinder, four stroke, direct injection, air cool CI engine. Experiments are done at 2000 rpm constant speed and dissimilar loads using fuel blends. Three different nanoparticles of metal oxides are used as an additive in different blends of fuel with a dose of 50 ppm. Visual solubility tests are performed for the fuels. The newly developed fuel is burned immediately after preparation to avoid phase separation. The B30–50 MgO nanoparticles showed a 19% reduction in BSFC compared to diesel fuel. CO emission is decreased by 28 % when using D100–50 Al2O3 and NOx emission is decreased by 7 % when using B30–MgO. For the blends containing nanoparticle additives, there is an increase in break power (BP), heat release rate (HRR), and cylinder pressure. Also, there is a reduction in break specific fuel consumption (BSFC), and emissions such as nitrogen oxides (NOx) and carbon monoxide (CO) as in comparison with the neat diesel fuel.

RSM-Based Parameter Optimization of Compression Ignition Engine Fueled with Diesel Blended with Two Biofuels: Rice Bran and Karanja

The threat of depletion of fossil fuels, extensively used in transport sector, is promoting the research in the field of alternative fuels. Biofuels possess properties close to that of diesel, but being viscous, used as blend with diesel in compression ignition (CI) engines. The current work explores the mixing of two biofuels, karanja oil and rice bran oil, in diesel (designated as RK20) and to observe the performance of CI engine. The blend was made by mixing the oils in the proportion of 10:10:80 (karanja oil, rice bran oil and neat diesel (ND), respectively). The test rig used to conduct the investigation was a double-cylinder, turbocharged and water-cooled direct injection CI engine having constant speed of 1800 rpm and fixed compression ratio of 18.5:1. The injection parameters were varied to optimize the performance parameters of CI engine for the prepared blend of biofuel. The optimized output parameters were brake specific fuel consumption (BSFC) and brake power (BP) of the CI engine. The ranges of injection timing (IT) and injection pressure (IP) were $${{15}\,^{\circ }}$$ – $${{28}^{\circ }}$$ btdc and 230–300 bar, respectively. Central composite design technique of response surface methodology was used for design of experiments. The results include the lowest BSFC at low IP and IT for both ND and RK20 blend, also comparable with each other. Maximum BP and minimum BSFC were predicted at $${{15}^{\circ }}$$ btdc and 230 bar IT and IP respectively for both RK20 blend and ND.

On the Turbulence-Chemistry Interaction of an HCCI Combustion Engine

A numerical study was carried out to evaluate the influence of engine combustion chamber geometry and operating conditions on the performance and emissions of a homogeneous charge compression ignition (HCCI) engine. Combustion in an HCCI engine is a very complex phenomenon that is influenced by several factors that need to be controlled, such as gas temperature, heat transfer, turbulence and auto-ignition of the gas mixture. An eddy dissipation concept (EDC) combustion model was used to take into account the interaction between turbulence and chemistry. The model assumed that reactions occur in small turbulent structures called fine-scales, whose characteristic lengths and times depend mainly on the turbulence level. The model parameters were slightly modified with respect to the standard model proposed by Magnussen, to correctly simulate the characteristics of the HCCI combustion process. A reduced iso-octane chemical mechanism with 186 species and 914 chemical reactions was employed together with a sub-mechanism for NOx. The model was validated by comparing the results with available experimental data in terms of pressure and instantaneous heat release rate. Two engine chamber geometries with and without a cavity in the piston were considered, respectively. The two engines provided significant differences in terms of fluid-dynamic patterns and turbulence intensity levels in the combustion chamber. The results show that combustion started earlier and proceeded faster for the flat piston, leading to an increase in both the peak pressure and gross indicated mean effective pressure, as well as a reduction of CO and UHC emissions. An additional analysis was performed by considering a case without swirl for the flat-piston case. Such an analysis shows that the swirl motion reduces the time duration of combustion and slightly increases the gross indicated work per cycle.

A Numerical Study to Control the Combustion Performance of a Syngas-Fueled HCCI Engine at Medium and High Loads Using Different Piston Bowl Geometry and Exhaust Gas Recirculation

Abstract This study aims to analyze the effect of piston bowl geometry on the combustion and emission performance of the syngas-fueled homogenous charge compression ignition (HCCI) engine, which operates under lean air–fuel mixture conditions for power plant usage. Three different piston bowl geometries were used with a reduction of piston bowl depth and squish area ratio of the baseline piston bowl with the same compression ratio of 17.1. Additionally, exhaust gas recirculation (EGR) is used to control the maximum pressure rise rate (MPRR) of syngas-fueled HCCI engines. To simulate the combustion process at medium load (5 bar indicated mean effective pressure (IMEP)) and high loads of (8 and 10 bar IMEP), ansys forte cfd package was used, and the calculated results were compared with Aceves et al.’s Multi-zone HCCI model, using the same chemical kinetics set (Gri-Mech 3.0). All calculations were accomplished at maximum brake torque (MBT) conditions, by sweeping the air–fuel mixture temperature at the inlet valve close (TIVC). This study reveals that the TIVC of the air–fuel mixture and the heat loss rate through the wall are the main factors that influence combustion phasing by changing the piston bowl geometry. It also finds that although pistons B and C give high thermal efficiency, they cannot be used for the combustion process, due to the very high MPRR and NOx emissions. Even though the baseline piston shows high MPRR (23 bar/degree), it is reduced, and reveals an acceptable range of 10–12 bar/degree, using 30% EGR.

Performance of homogeneous charge compression ignition (HCCI) engine with common rail fuel injection

Homogeneous Charge Compression Ignition (HCCI) engine is a newly introduced technology. However, controlling the HCCI timing of ignition and theheat release rate, at all operating regimes, present the biggest challenge due to the complicated and highly coupled combustion problems. The successful implementation of the common rail injection system in diesel engines has made this possible. The main key for this success is the capability to optimize the most important fuel injection parameters, namely timing, rate, and duration.This work experimentally investigates the performance of an HCCI Diesel engine with a Common Rail Direct Injection (DI) fuel system. The engine used is a turbocharged 2776 cc, 4-stroke, 4-cylinder, water-cooled with overhead valve mechanism. The engine performance is evaluated and presented at different loads and speeds. The Apparent Heat Release Rate during combustion is evaluated from the measured cylinder pressure-crank angle data. The pressure in the fuel line is measured at the entry to different fuel injectors to investigate the effect of pressure wave propagation in the fuel line on the fuel injection system.

Effect of Direct Water Injection on Combustion and Performance of Homogeneous Charge Compression Ignition Engine—A Computational Fluid Dynamics Analysis

Effect of Direct Water Injection on Combustion and Performance of Homogeneous Charge Compression Ignition Engine—A Computational Fluid Dynamics Analysis

Predictive Modelling and Optimization of Performance and Emissions of Acetylene Fuelled CI Engine Using ANN and RSM

ABSTRACT This contemporary work was mainly focused on the application of ANN model and RSM optimization tool for analyzing the performance and exhaust emissions of a single-cylinder Compression Ignition (CI) engine operating with acetylene and diesel on dual fuel mode. Experiments were performed in a 3.5 kW Kirloskar TV1, water-cooled engine with various flow rates (2, 4, and 6 liters per minute) of acetylene gas, variations in the Compression Ratio (CR) (16, 18, and 20), Injection Timing (IT) (19ºbTDC, 23ºbTDC, 27ºbTDC) and Injection Pressure (IP) (200, 220, and 240 bar). Multi-objective optimization was conducted using the RSM, while the central composite design was chosen as the design matrix. The desirability approach was employed to find optimum operating conditions. High flow rate of acetylene injection of 6 lpm, higher IP of 240 bar, CR of 18 and IT of 23ºCA bTDC were arrived as the optimum operating conditions with 0.649 desirability value.The ANN model was developed based on experimentaldata to forecast the brake thermal efficiency (BTH), hydrocarbon (HC), carbon monoxide (CO), oxides of nitrogen (NOx) and smoke. ANN was trained using Levenberg-Marquardt Algorithm for predicting output parameters. To analyze theStatistical error,measuring tools Normalized Root Mean Square Error (NRSME) and Mean Absolute Percentage Error (MAPE) were used in the proposed ANN model.NRSME and MAPE values for the developed ANN model were 0.00908–0.047516 and 0.014502–0.118807 respectively. Regression coefficients (R), Coefficient of determination (R2) were implemented to validate the proposed model. The range of values obtained for R and R2were 0.998742–0.999953, 0.997487–0.999906 correspondingly. The low range of error and closeness of R and R2 values nearest to 1 confirms that the proposed model can predict the output parameters with acceptable limits of error.

Investigations on biogas fuelled Homogeneous Charged Compression Ignition engine with Di ethyl ether -Biodiesel-Butanol blend as Pilot fuel

The continuous and increasing in volume of fossil fuels utilization leads to an alarming increase in green-house gases emissions. Consequentially, the release of toxic agents may cause detrimental health issues and aggravate global warming effects. Biofuels, due to its reduced emission effects, are found to be a potential alternate to fossil fuels, especially for their usage in internal combustion engines under certain loading conditions. The present research work aims at investigating the effects of butanol blending ratio at different biogas flow rates on the performance and emission characteristics of a single-cylinder CI (Compression ignition) engine under Homogenous Charge Compression Ignition (HCCI) mode. Flow rates of biogas taken in the present study are 12 lpm and 16 lpm whereas the butanol is blended in biodiesel – DEE (Diethyl-ether) mixture at 10, 20 & 30% concentration by volume. The engine parameters analysed in the present work are brake thermal efficiency, Brake Specific Energy Consumption (BSEC), Hydrocarbons (HC), Carbon monoxide (CO), Oxides of Nitrogen (NOx) and Smoke emissions. Results showed that the butanol addition in the fuel reduced the NOx emissions considerably at various loads between 0.1 N-m to 15 N-m. Further increase in load resulted in knocking conditions in the engine due to multipoint ignition. Based on the experiments, it is witnessed that 30% of butanol blend in biodiesel-DEE mixture high efficiency and low smoke emissions compared to all other blends. Simultaneous reduction of NOx and smoke emissions is observed in HCCI mode.

Emission Characteristic of a Dual fuel Compression Ignition Engine Operating on Diesel + Hydrogen & Diesel + HHO gas with same Energy Share at Idling Condition

Clean burning nature and renewability of hydrogen makes it viable and alternative / supplementary fuel for utilization in IC engine. In the past two decades, researchers have gained interest in using hydrogen in Internal combustion (IC) engines. Electrolysis is the widely used technique for production of hydrogen. The effect on emission parameters of using hydrogen and HHO gas in a dual fuel engine at idling condition was focused in this research work. HHO gas was synthesized from stored cylinders of hydrogen & oxygen in 2:1 ratio. The mixture of H2 and O2 are produced in stoichiometric ratio similar to electrolysis of water. Effect of introduction of hydrogen gas and stimulated HHO gas on emission characters such as unburnt hydrocarbon (UHC), carbon dioxide (CO2), oxides of nitrogen (NOx) and smoke of the engine were noted at idling condition (1700 rpm). Engine was supplied with 6, 12, 18, 24, 30, 36 LPM of hydrogen and 9, 18, 27, 36, 45, 54 LPM of HHO gas where the composition of mixture was maintained in the ratio of 2:1 and energy supplied by Hydrogen and HHO gas remains same. Introduction of hydrogen and HHO gas has reduced the total diesel fuel consumption and formation of CO2 at all operating condition than neat diesel operation. There was slight increase in UHC emission with hydrogen and by substituting HHO gas the UHC emission was reduced.

Effect of piston bowl geometry and compression ratio on in-cylinder combustion and engine performance in a gasoline direct-injection compression ignition engine under different injection conditions

Low temperature combustion (LTC) of high-octane number fuels in compression ignition engines offers an opportunity to simultaneously achieve high engine thermal efficiency and low emissions of NOx and particulate matter without using expensive after-treatment technologies. LTC engines are known to be sensitive to the operation conditions and combustor geometry. It is important to understand the fundamental flow and combustion physics in order to develop the technology further for commercial application. A joint numerical and experimental investigation was conducted in a heavy-duty compression ignition engine using a primary reference fuel with an octane number of 81 to investigate the effects of injection timing, piston geometry, and compression ratio (CR) on the fuel/air mixing and combustion covering different regimes of LTC engines, homogeneous charge compression ignition (HCCI), partially premixed combustion (PPC), and the transition regime from HCCI to PPC. The results show that with the same combustion timing, a higher CR leads to a lower NOx, but a higher emission of UHC and CO. The piston geometry shows a significant impact on the combustion and emission process in the transition regime while it has minor influence in the HCCI and PPC regimes. It is found that high engine efficiency and low emissions of NOx, CO and UHC can be achieved in the earlier PPC regime and later transition regime. The fundamental reason behind this is the stratification of the mixture in composition, temperature and reactivity, which is dictated by the interaction between the spray and the cylinder/piston walls.

Analytical Study of Performance and Emission Characteristics of a Palm Biodiesel Fuelled Engine using Response Surface Methodology

Alternative fuels are in the limelight due to depleting fossil fuel reserves and alarming environmental impact of pollution. Even though electric mobility is encouraged by the government to reduce the dependence on fossil fuel, lack of high energy density batteries still downplays the mass marketable scope of electric vehicles due to drivable range in which liquid fueled vehicles have the advantage. Response Surface Methodology (RSM), a statistical mathematic technique is utilized to analytically study the impacts of Palm Biodiesel (PBD) blended diesel fuel at enrichment ratio of 10%, 20%, and 40% on performance and emission characteristics of a multi cylinder compression ignition (CI) engine. The study concludes that engine torque and power improve with mild palm oil enrichment of 10% notably at low end speed of 2000 rpm. CO2 and CO emissions and smoke decline while higher O2 content present in PBD compared to pure Diesel gives rise to NOX emissions.

Effect of hydrogen addition on performance and emission characteristics of a common-rail CI engine fueled with diesel/waste cooking oil biodiesel blends

In this study, the effect of hydrogen addition to a compression ignition (CI) engine fueled with the diesel fuel-waste cooking oil biodiesel (WCOB) blend (B25) on the engine performance, and exhaust emissions was examined experimentally. In the tests, a four-cylinder, four-stroke, water-cooled, 1.461-L, turbocharged CI engine was used. The engine tests were performed at the fixed engine speed of 1750 rpm and at the diverse engine loads of 40, 60 and 80 Nm. The hydrogen was added to the intake air at the flow rates of 10, 20, 30 and 40 lpm. According to the results obtained, hydrogen had a positive effect on break specific fuel consumption (BSFC) for all test conditions. The increase occurred at the exhaust gas temperatures (EGTs) and cylinder pressures (CPs) with hydrogen addition. The NOx and total hydrocarbon (THC) emissions decreased with the hydrogen addition until 30 lpm at 40 and 60 Nm engine loads. On the other hand, they increased at 80 Nm engine load for all hydrogen additions. While CO2 and O2 emissions decreased with the hydrogen addition, the smoke emissions increased. It was found that the value of 30 lpm was the optimum condition of the hydrogen addition rates.

Developing a smart fuel using artificial neural network for compression ignition engine fueled with Calophyllum inophyllum diesel blend at various compression ratio

AbstractIn machinery, it is evident that the computing system for self‐automated machinery derives nonlinear and complex equations by comparing the machinery's different input parameters with their corresponding performance output parameters. In order to operate the machinery with good performance and better efficiency, the computing system needs a machine‐learning algorithm. Most recent researchers have concentrated more on self‐driving vehicle, which seems to be lack of developing a strong algorithm for compression ignition (CI) engines to predict the performance and emission output parameter. Thus, this article deals with the prediction of performance and emission characteristics of CI engine fueled with 25% Calophyllum inophyllum and 75% diesel blend (CIB25) at various compression ratios using artificial neural network (ANN). Performance and emission tests were conducted in a single‐cylinder four‐stroke variable‐compression‐ratio CI engine fueled with CIB25 with varying loads and at a constant speed of operation. Experimental investigation indicates that 18:1 compression ratio gives better performance results when CIB25 is used as the fuel. Emission test results show better emission characteristics at 17:1 compression ratio. These results show that some input factors affect the output factors under some set of operating conditions, while some input factors improve them. ANN developed for the CI engine learns how the input factors affect and improve the output factors. Also, developed neural network is found to be satisfactory, and it predicts the output at a regression value of 0.998 with an average error of 1.77% in the case of CIB25.

An experimental investigation on combustion and performance characteristics of supercharged HCCI operation in low compression ratio engine setting

This study investigates the effects of boost pressure on combustion and performance of an early direct injection homogenous charge compression ignition (HCCI) engine at a low compression ratio (CR). A 2.0 L, four-cylinder, four-stroke, gasoline direct injection engine was converted to operate in early direct injection HCCI mode. In addition, a supercharger unit was developed for engine boosting. The experiments were performed at different intake manifold absolute pressures (MAP) from 1.0 to 1.6 bar at different engine loads using n-heptane fuel. The effects of boost pressure were investigated on HCCI combustion and engine performance characteristics using volumetric efficiency, in-cylinder pressure, heat release rate (HRR), maximum in-cylinder pressure and gas temperature, CA50 (crank angle by which 50% of the fuel is burnt), combustion duration, apparent combustion efficiency, indicated mean effective pressure (IMEP), brake mean effective pressure (BMEP), friction mean effective pressure (FMEP), indicated thermal efficiency (ITE), brake thermal efficiency (BTE), heat loss, exergy of heat loss, coefficient of variation of IMEP (COVIMEP), maximum pressure rise rate (MPRR) and ringing intensity (RI). The experimental results showed that high-efficiency HCCI operation is feasible at an engine compression ratio as low as 9.2 once the engine variables are properly optimized and an appropriate level of supercharging is utilized. An increase in indicated thermal efficiency was seen as boost pressure increased. In addition, combustion phasing advanced by increasing boost pressure or increasing air–fuel equivalence ratio values. Combustion events with CA50 2–3 °CA aTDC show the highest thermal efficiency especially at low boost pressure conditions. In addition, the pressure rise rate and ringing intensity increased by increasing air–fuel equivalence ratio and MAP. The test results also showed that HCCI operating range can be extended with the increase of intake manifold pressure especially at high load limits.

Experimental Investigation of CI Engine Fuelled With Waste Agricultural Biodiesel at Higher Compression Ratios

In this study, the performance, combustion and emissions characteristics of compression ignition engine were calculated and analysed using a waste agricultural biodiesel . The tests were performed at steady state conditions for a four-stroke single cylinder diesel engine loaded at engine speed of 1500 rpm. The present experimental investigation evaluates the effects of using BD20 blend of biodiesel. During experimental testing of CI engine using biofuel blend, the engine was maintained at various compression ratio i.e., 18, 19 and 20 respectively. Engine load is varied from zero to full load condition. Design of experiment is done with Taguchi method. The main objective is to check the optimum compression ratio and to obtain minimum specific fuel consumption, better efficiency and lesser emission with higher compression ratio. Results shows that Brake thermal efficiency and cylinder pressure of CI engine increases with increase in compression ratio and load. Specific fuel consumption, emission of hydrocarbon and carbon monoxide decreases as we increase compression ratio. Nitrogen oxide follows the reverse trend and found to be increased as we increase compression ratio and load on engine. The analysis shows optimum performance with lower emission at a CR of 20 and load 100%.

An experimental investigation of the performance, emission and combustion stability of compression ignition engine powered by diesel and ammonia solution (NH4OH)

This study presents experimental examinations of a stationary single-cylinder compression ignition dual fuel engine for the combustion of diesel fuel with water ammonia solution. The effect of 25% water ammonia solution on the combustion, performance, emissions and stability of the dual fuel compression ignition engine was investigated, taking into account its different operating conditions. The experiments were carried out for three modes of engine operation with three loads (35%, 60% and 100%) and a change in the water ammonia solution energy fraction at 60% load, within the range from 0% to 17%. Co-combustion of diesel fuel with water ammonia solution in the test engine contributed to an increase in the ignition delay period and combustion duration, and to an increase in the heat release rate. Compared to the combustion of diesel fuel alone, combustion involving ammonia causes deterioration in the stability of the test engine operation, yet not exceeding the permissible stability indices for reciprocating combustion engines. Addition of water ammonia solution led to reduced nitrogen oxide emissions and increasing carbon monoxide and hydrocarbon emissions and did not result in significant changes in carbon dioxide emissions.

A comparative analysis of different methods to improve the performance of rubber seed oil fuelled compression ignition engine

There is a need to find suitable substitutes for the petroleum based fuels as the conventional fuels are decreasing in order in recent years. Vegetable oils are attractive as an alternative fuel for diesel engines as they are renewable and can be used in engines without employing any major modifications. The main problems with the use of neat vegetable oils in diesel engines are high smoke levels and relatively low thermal efficiency due to high viscosity and carbon residue as compared to diesel. In this work various methods for improving the performance of rubber seed oil (RSO) fuelled diesel engine are compared and discussed. Dual fuel operation with hydrogen, ethanol and DEE resulted in higher brake thermal efficiency. Oxides of nitrogen (NOx) level are lowest with neat RSO engine operation. It increases about 36% for dual fuel operation with hydrogen and 32% with DEE injection compared to neat RSO. Smoke emission reduces from 6.1 Bosch Smoke Unit (BSU) for neat RSO operation to 3.8 BSU for hydrogen induction, 4 BSU for DEE injection and 3.4 BSU for ethanol injection which is the lowest value compared to all other test fuels. Peak pressure and rate of pressure rise are higher for all the methods as compared to neat RSO operation. Ignition delay is higher for neat RSO operation; it further increases with dual fuel operation with hydrogen, LPG and ethanol. It is concluded that dual fuel operation with hydrogen and DEE is effective in improving the performance of neat rubber seed oil in compression ignition engine operation.