Rubber Seed Oil Methyl Ester Synthesis, Engine Performance, and

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Rubber Seed Oil Methyl Ester (ROME) Synthesis, Engine Performance and Emission Characteristics of Blends Ali Shemsedin Reshad, Prasenjit Barman, Ashish J. Chaudhari, Pankaj Tiwari, Vinayak Kulkarni, Vaibhav V. Goud , and Niranjan Sahoo Energy Fuels, Just Accepted Manuscript • DOI: 10.1021/acs.energyfuels.5b01033 • Publication Date (Web): 06 Jul 2015 Downloaded from http://pubs.acs.org on July 12, 2015

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Rubber Seed Oil Methyl Ester (ROME) Synthesis, Engine Performance and Emission Characteristics of Blends Ali S. Reshad1, Prasenjit Barman1, Ashish J. Chaudhari2, Pankaj Tiwari*1, Vinayak Kulkarni3, Vaibhav V. Goud1,2*, Niranjan Sahoo3

1

Department of Chemical Engineering, Indian Institute of TechnologyGuwahati, Guwahati,

Assam-781039, India 2

Centre for Energy, Indian Institute of Technology Guwahati, Guwahati,Assam -781039, India

3

Department of Mechanical Engineering, Indian Institute of TechnologyGuwahati, Guwahati,

Assam -781039, India ∗ Corresponding

authors: [email protected] (P Tiwari) and [email protected] (VV Goud) Tel.: +91 361 2582263/2272; fax: +91 361 2582291

ABSTRACT: Currently, more than 95% of biodiesel is being produced from edible vegetable oils which may affect the sustainability of biodiesel industries. Rubber seed oil (RSO) is one of the promising non-edible oil for biodiesel synthesis. Higher free fatty acid content of RSO was reduced by ultrasonic assisted esterification reaction. Non-conventional techniques, ultrasonic horn and ultrasonic bath for transesterification of esterified RSO (ERSO) were studied to enhance the yield of rubber seed oil methyl esters (ROME). The effect of transesterification parameters; molar ratio (MR) of methanol/ERSO (3:1–13:1), reaction time (5–50min) and heterogeneous catalyst Ba(OH)2·8H2O (2–10wt%of feedstock) on conversion of RSO were investigated and optimized for maximum yield of ROME. The physico-chemical properties of ROME and its various blending with diesel (RDXX) were estimated to suite diesel engine for fulfillment of American Society for Testing and Materials (ASTM). Maximum brake thermal

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efficiency (BTE) was achieved at 80% load with RD10 (28.36%) compared to neat diesel (24%) and a drastic improvement of overall 13% increase at all loads. Maximum exhaust gas temperatures for biodiesel blends were found to be lower than neat diesel with rise in pressure by about 4% which ultimately shows slight improvement in the net heat release rate. The emissions of CO, CO2 and NOX were reduced with the use of ROME blends.

NOMENCLATURE ASTM

American Society for Testing and Materials

BDXX

Blending of biodiesel with diesel

BP

Brake Power

BSEC

Brake Specific Energy Consumption

BSFC

Brake Specific Fuel Consumption

BTE

Brake Thermal Efficiency

bTDC

Before Top Dead Centre

CIME

Calophyllum Inophyllum oil Methyl Esters

CIO

Calophyllum Inophyllum Oil

CMME

Croton Megalocarpus oil Methyl Esters

CMO

Croton Megalocarpus Oil

COME

Coconut Oil Methyl Esters

CPO

Crude Ceiba Pentandra Oil

CPOME

Ceiba Pentandra Oil Methyl Esters

CA

Crank Angle

DI

Direct Injection

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DSC

Differential Scanning Calorimeter

EGT

Exhaust Gas Temperature

ERSO

Esterified RSO

HC

Hydrocarbon

HSD

High Speed Diesel

JCOME

Jatropha Curcas Oil Methyl Esters

LHV

Heating Value

MR

Molar ratio

NAHC

Nitric Polycyclic Aromatic Hydrocarbon

NMR

Nuclear Magnetic Resonance

PAHC

Polycyclic Aromatic Hydrocarbon

POME

Palm Oil Methyl Esters

RDXX

ROME-Diesel blends

ROME

Rubber Seed Oil Methyl Ester

RSO

Rubber seed oil

SFC

Specific Fuel Consumption

THC

Total Hydrocarbon

UC

Ultrasonic Cleaner

UH

Ultrasonic Horn

XX

Amount of ROME (by volume) blended with diesel

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INTRODUCTION Depletion of fossil fuel, increasing of global warming and others concern has made especial attention to an alternative source of renewable energy for the future.1,

2

Producing of biofuels

from biomass is one way of substituting non-renewable energy sources.3 Biodiesel is a promising, nontoxic, biodegradable and an alternative fuel for diesel engine which is comprised of mono-alkyl esters of long chain fatty acids obtained from transesterification (ester exchange) of feedstock.4 Various raw materials available for biodiesel production are, oil seed (vegetable oil), animal fats, algae and different low quality material and waste such as waste cooking oil, greases. Use of edible oils for biodiesel production causes huge unbalance on humane food verses fuel and challenges for sustainability of biodiesel for future.5 Choosing of raw material is vital for worthwhile production of biodiesel. Non-edible oil is promising material for sustainable biodiesel production. However, higher free fatty acids occur in non-edible oil significantly lower the yield and rate of the reaction. The rate of transesterification reaction is controlled by the mass transfer limitations due to the heterogeneity exist between oil and alcohol. Mass transfer limitation of the heterogeneous mixture can be minimized using mechanical stirring and/or sonochemical reactor. Improved transesterification reaction rate can be obtained by ultrasonic methods.3,

6

Ultrasonic sonotrodes for sonochemical applications can be broadly classified as

direct immersion type reactor (ultrasonic horn) and indirect irradiation type (ultrasonic cleaner/bath), flow cell, etc). Ultrasonic excitation increases the interfacial area of the reacting mixture through emulsification which is important for the formation of vapor bubbles within the alcohol and cavitation bubbles in viscous liquid.7 Despite the higher production cost, the direct use of biodiesel in the existing diesel engines offers several problems such as engine compatibility, higher injector coking due to higher

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viscosity and lower energy content. Blending of biodiesel with diesel (BDXX) reduces most emissions while engine performance and fuel economy are nearly identical when compared to conventional fuels.8, 9 BDXX fuel reduces the exhaust gas emission CO2, HC, SO2, polycyclic aromatic hydrocarbon (PAHC), nitric polycyclic aromatic hydrocarbon (NAHC) and particulate matter.9 The emission characteristic depends on feedstock as well as the load applied. Sahoo et al.10 reported that neat polanga oil methyl ester improved the thermal efficiency of the engine by 0.1% and reduced brake specific energy consumption (BSEC) and exhaust emissions. Reduction in exhaust temperature for biodiesel-fueled (B100) engine led to 4% decreased in NOx emission compared to high speed diesel (HSD) at full load. The emission studies with biodiesel produced from pistacia chinensis bunge seed reported less amount of NOx released from B10 and B20 compared to diesel.11 Saravanan et al.12 reported that low heating value (39 MJ/kg) and high viscosity (4.39 mm2/s) of biodiesel (mahua indica methyl ester) compared to neat diesel of 44 MJ/kg and 2.6 mm2/s respectively required higher specific energy consumption than that of diesel at all loads. Previous investigations were concerned on the transesterification of seed oil using heterogeneous Ba(OH)2 as catalysts. In this study, an ultrasonic assisted transestrification process was employed to synthesize biodiesel from non edible rubber seed oil using heterogeneous Ba(OH)2•8H2O as catalysts. The conversion of ERSO to ROME using sonochemical reactors viz. ultrasonic horn (UH) and ultrasonic cleaner (UC) for transesterification reaction of RSO were compared. The performance and emission characteristic of diesel engine fueled with blends of ROME with diesel (RDXX) was investigated. MATERIAL AND METHODS Materials. Rubber seed was obtained from Assam, India. The chemical and physical properties of RSO, including chemical compositions from NMR analysis were detailed

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elsewhere.13 Chemicals such as methanol (99%), sodium hydroxide pellet, Barium hydroxide octahydrate (Ba(OH)2 ·8H2O) (97%), sulfuric acid (98%), hexane (95%), ethanol (99.9%) and phenolphthalein were procured from Merck India Ltd. Diesel was obtained from local fuel station. Methods. ROME synthesis and blend preparation. Oil was extracted from rubber seed using Soxhlet extraction. The details of extraction process and optimization of process parameters can be found in our previous work.13 The extracted RSO contains higher free fatty acid (12.12%). Therefore, two steps procedure was followed for synthesis of biodiesel from RSO. UH assisted esterification reaction was performed in cylindrical tube reactor of 100 ml capacity with 1.5 wt% of H2SO4 and 15:1 molar ratio of methanol to oil for 2 h duration. After the reaction, the mixture was transferred into separating funnel and allowed to settle for 2 h. Two distinct layers were formed. The top layer, which consists of excess methanol and H2SO4 was removed and the bottom layer was then washed with hot Millipore water (60–70⁰C) to remove any impurities present in esterified oil. The washed oil then dried in rotavapor to evaporate the water/methanol, if any. ERSO was used for biodiesel synthesis using Ba(OH)2 ·8H2O catalyst via UH/UC assisted transesterification reaction in a cylindrical tube/ conical flask of 50 ml/50ml capacity. UH operating with 100 W, 30±1 kHz working frequency, 1 cycle and 80% amplitude was fitted with piezoelectric transducer of 1 cm tip diameter. UH tip was immersed in to the upper layer of interface of the reaction mixture to reduce possibility of vortex formation.3 UC operating at 40±3 kHz working frequency and 300 W with piezoelectric transducer at bottom was used. Conical reactor was immersed in the ultrasonic cleaner/bath at the center position. Surrounding temperature was controlled with the help of water bath. The overall product of transesterification was centrifuge to separate the solid catalyst. Methyl ester of rubber seed oil, excess methanol and

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bio-glycerol were separated by gravity settling. ROME layer was washed (three times), and then dried with the help of rotavapor. Extent of conversion of ERSO to ROME was compared. All the experiments were duplicated. ROME obtained under optimal condition was mixed with diesel using mechanical stirrer for 1 h to prepare homogeneous RDXX samples14, 15. XX represents the amount of ROME (by volume) blended with diesel. Four samples labeled as RD0, RD5, RD10 and RD15 were prepared. Product analysis. Extracted rubber oil, ROME, diesel and blended samples (RDXX) were characterized using standard procedures (ASTM/AOCS, etc.) to measure the physico-chemical properties. To estimate the fatty acid composition of RSO and ROME nuclear magnetic resonance (1H NMR) (Make: Bruker, 600MHz) analyses were performed. Liquid sample of 10– 30 µl was taken in a 5mm NMR tube and mixed with 600µl deuterated chloroform (CdCl3) solvent. The chemical shift peak of deuterated chloroform at 7.26 ppm was taken as internal reference. The proton shift peaks of methyl ester and methylene were taken at 3.65 ppm and 2.31 ppm respectively.1H NMR profile for RSO showed no peak at 3.65ppm. From NMR profiles of the samples fatty acid composition of oil16 and RSO conversion17 were estimated. The conversion of RSO was calculated using equation (1). Xሺ%ሻ =

2 × A୑୉ × 100 3 × A஑ିେୌమ

ሺ1ሻ

Where X(%) is percent formation of rubber oil methyl ester, AME is integration value of methyl ester proton is peak area at which ppm value of 3.65 1H NMR profile and Aα-CH2 is integration value of carbonyl methylene proton is peak area at which ppm value of 2.31 from 1H NMR profile. Engine performance. Direct injection (DI) diesel engine consists of single cylinder,4stroke,water cooled, constant speed, naturally aspirated was used for engine performance

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analysis (Fig.1). The detailed specifications are listed in Table 1. The setup is coupled with eddy current dynamometer (SAJ Make, Model AG10) for loading which is applied by manually controlled knob of potentiometer and noted with the help of strain gauge type load cell (0–50 kg) on digital indicator. In cylinder combustion diagnostics, cylinder pressure measurement for each degree of crank rotation was done using piezo sensor for crank angle (CA) 360 degree incremental encoder with push-pull interface for crank angle measurement. The encoder operates on an electro-optical scanning principle. The transform of mechanical movements into electrical signals was acquired at time interval of two-degree crank angle and logged using EngineSoft software. All the fuels were tested at constant speed of 1500±50 rpm with intake fuel pressure of 190 bar for the fixed compression ratio 17.5:1 with crank position at 230 before top dead centre (bTDC) under varying loads from 0% to 100% in steps of 20%. The engine jacket and exhaust gas calorimeter water flow rate were maintained constant at 300 lph and 100 lph respectively. After the baseline assessment with diesel, the tests were performed for different fuel blends. The liquid fuels were supplied to the engine injection pump from the fuel tank under gravity feed. One minute fuel consumption measurements at a particular load were performed on a volumetric basis. Air consumption measurement was carried out by air-box method.18 The coefficient of discharge of orifice meter was taken as 0.6. Emission characteristic. Exhaust gas analysis was performed with the help of Testo350/M/XL engine flue gas analyzer. The specifications of emission analyzer such as resolution, accuracy, and range are listed in Table 1. This emission analyzer provides the accurate measurement of five gases O2, CO, CO2, NOX, and hydrocarbon (HC). The exhaust gas was sucked by analyzer from exhaust manifold when probe is inserted in the manifold with the help of pump for fixed time duration under specified set of operating conditions.

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The real errors in experimental carry some amount of uncertainty. The more precise method of estimating uncertainty in experimental results has been presented by Kline and McClintock19 and Moffat20 by sequential perturbation technique (Holman21). Uncertainties for some parameters were estimated as; engine speed (0.5%), brake load (0.5%), mass flow rate of liquid fuel(1%), mass flow rate of air (1%), LHV (Lower heating value) of diesel (1%), LHV of biodiesel (1%), cylinder pressure (0.1%), cylinder volume (0.1%), temperature (30C), specific hat of exhaust gas (0.5%), ratio of specific heat (0.5%), CO, CO2, NOx, HC emissions 3%. RESULTS AND DISCUSSION ROME synthesis. Due to reversible nature of transesterification reaction, excess alcohol is required to drive the reaction in forward direction.3, 22UH and UC assisted experiments were performed with MR from 3:1 to 13:1 with 1.5 increments, catalyst loading from 2–10 wt% for reaction duration of 5–50 min. The effect of process parameters on conversion of RSO is summarized in Fig. 2. UH provided better conversion compared to UC under similar conditions. However, at later stage the conversion of RSO were found to be similar. Fig. 2a shows the effect of MR on RSO conversion at constant catalyst concentration (4 wt%) and reaction time (10 min).RSO conversion was increased from 45% to 94.5% (UH) and 40.82% to 90.9% (UC) with increasing MR from 3:1 to 7.5:1.Further increased in MR slightly decreased the conversion. The results may be attributed to higher cavitational intensity of methanol in the reaction mixture which may directly shift the equilibrium reaction toward the product.3, 6, 7 Further excess amount of methanol beyond the optimum enhances the mixing of glycerol and ROME which also makes alcohol recovery difficult.3,

23

In order to study the effect of reaction time, experiments were

performed under 4 wt% Ba(OH)2 ·8H2O catalyst loading and optimum MR (7.5:1)(Fig. 2b).Higher conversion of RSO was obtained by UH within short reaction time with optimum

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value of 94.5% around 10 min whereas UC requires more than 50 min to achieve this conversion. The reaction for longer time had shown no significant improvement on the conversion of RSO. Fig. 2c shows that an increase in the catalyst loading from 2 wt%to 5wt%results significant improvement in conversion in both reactor configurations from 85.44% to 96.01% (UH) and 73.8% to 92.93% (UC). In UH catalyst is directly exposed to ultrasonic irradiation which enhances the catalyst break up by the energy released from the bubbles created by cavitation collapsing and gives larger surface of the catalyst.7 Further increase in the catalyst loading, first showed slight increase in conversion values then the values were found to be decreased. This has been attributed that at higher catalyst loading the slurry becomes too viscous, giving rise to problem of mixing.3,

24

The reaction mixture in UH is directly exposed to the

ultrasonic irradiation whereas in the case of UC, the mixing of the reacting mixture is limited due to indirect transmission of the vibrations to the system.7, 25 Overall optimum conversion of RSO (96.01%) was obtained using UH reactor configuration at MR of 7.5 with 5 wt% loading of catalyst in 10 min reaction time. Physico-chemical properties of RSO, ROME and RDXX blends. The physico-chemical characteristics of RSO, ROME, ROME-diesel blends and neat diesel were estimated as per the standard methods and are presented in Table 2. The acid value of the oil determines the process of transesterification.26 The acid value of RSO and its methyl esters were found to be 24 and 0.4 mgKOH/g oil respectively (Table 2). The acid value of RSO was higher than crude Pangiumedule oil (19.62 mgKOH/g of oil)15 and crude Ceibapentandra oil (16.8 mgKOH/g of oil)27. The acid value of ROME was also higher than Jatropha curcas methyl ester (0.28 mgKOH/g of oil) and palm oil methyl ester (0.08 mgKOH/g of oil).27 Specific gravity values of RSO (0.8991), ROME (0.8705) and various blends were found to be higher than the diesel

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(0.8408) used in this study. Further, dynamic viscosity of oils samples was measured using interfacial rheometer at constant shear rate of 100/sec. Kinematic viscosity of RSO (30 mm2/s)at 25⁰C was reduced to 3.81mm2/s (ROME) through transesterification process which is within the range of ASTM standard of biodiesel. It was further reduced with blending with diesel (Table 2).Calorific values of RSO, ROME and diesel were measured using oxygen bomb calorimeter and found to be 39.34, 39.53 and 44.29 MJ/kg respectively. Calorific value for blend decreases because the ROME has lower calorific value than diesel. The flow characteristic of the samples was observed under low temperature using differential scanning calorimeter (DSC). The phase transition point from DSC profile was used to estimate the cloud and pour point. The obtained results for the RSO, ROME, ROME-diesel blends and neat diesel are presented in Table 2. Flash point and fire point are important properties of fuel to measure flammability of fuel, safer storage and use in transportation sector.28, 29 The flash point of the ROME was comparatively higher than diesel fuel which helps for safer storage.1H NMR analysis showed that RSO contains saturated, monounsaturated and polyunsaturated fatty acid. The linoleic acid (39.86%)was found to be the most dominant fatty acid in RSO followed by oleic acid (27.06%) and saturated acid (19.91%) and the balance was linolenic acid (13.17%).Different fatty acid methyl esters such as methyl linoleate (40.56%), linolenate (15.32%), oleate (29.72%) and saturated fatty acid esters (14.7%) were identified in ROME. Performance of DI engine. The engine performance parameters such as brake power (BP), brake thermal efficiency (BTE), specific fuel consumption (SFC), volumetric efficiency (ηvol) and exhaust gas temperature (EGT) were estimated. The complete combustion analysis including heat release rate, maximum peak pressure, ignition delay, combustion duration and characterization of emissions were also studied. The performance analysis was conducted on the

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constant speed 1500±50 rpm engine which resulted linear relationship between the brake power obtained and load applied (Fig. 3a).30,

31

The brake specific fuel consumption (BSFC) was

evaluated from the mass of the fuel consumed per unit brake power (Fig. 3b). As the brake power produced increased with increase in load, the mass of fuel consumption also increased, but this increase was substantially lower than that of increase of brake power. This is because the increase in load on the engine reduces BSFC.32 No substantial change in BSFC for all RDXX sample with respect to diesel fuel was observed at 20% load. At 40% load, 11% reduction in BSFC was observed. This reduction of BSFC was continuous with rise in load. At maximum load BSFC for blend showed little increase by 2% than that of diesel fuel. Overall 5% reduction in BSFC was obtained with various blends.RD10 was found to be the most suitable composition for lowest BSFC having 393 g/kW-hr which was 13% lower than that of diesel fuel throughout the load range. Similar observation was found by Mahanta et al.33 RDXX blend was having lower calorific value but more oxygenated compared to diesel that improves the combustion quality which results in improved BSFC.32, 34-36 The brake thermal efficiency at 20% brake load showed rise of 7% and 15% for RD10 and RD15 respectivelyover baseline diesel fuel (Fig. 3c). The rise in BTE continued with rise in load showing maximum 32% rise for RD10 at 100% load with overall increase of 13% using various blends combustion for the complete range of load. At 80% load, the maximum BTE of 28.36% was obtained for RD10 among all the fuels tested which is 23% higher than that of diesel fuel at same load conditions. This was happened due to more oxygenated biodiesel fuel supply during combustion process and additionally the lubricity property of biodiesel help to improve the efficiency.32A remarkable decrease in exhaust gas temperature (EGT) was observed over the complete load range when engine was run with RDXX(Fig. 3d). The lower calorific value, poor

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atomization rate and poor volatility of biodiesel blend produces lesser temperature at the end of combustion.37,

38

At 20% load, the EGT recorded was 2670C and 2540C for RD10 and RD15

respectively which is correspondingly 8% and 12% decrease compared to diesel fuel (2900C).The reductions in EGT for RD10 and RD15 at full load were found to be 3% and 1%respectively. The overall 6% and 4% reduction in EGT was observed with the use of RD10 and RD15 blends respectively32. For RD5, no remarkable improvement was observed. The comparison of pressure-crank angle variation for each of the tested fuel modes are shown in Fig.4a for different engine loads. The combustion was smooth with no sign of misfire (knocking).Biodiesel blends produced maximum pressure of 77.16 bar, 75 bar and 75.29 bar at RD5, RD10 and RD15 respectively which was 72.50 bar with diesel fuel. A rise of average 4% in the maximum pressure for biodiesel blends was observed due to lower compressibility of biodiesel which helps the fuel pumped quickly, higher sound velocity for supply of fuel towards injector and higher viscosity which reduces leakage in the injector.39 The trend of increase in pressure under biodiesel blends was mild upto 40% load and found to be less than that of diesel fuel (Fig. 4b). Beyond 40% load condition these trends showed an intense degree of pressure rise in higher temperature operating zone. The cylinder pressure showed substantial increase for all biodiesel blend fuels with respect to diesel fuel due to rise in the load on engine, more force was required on the piston to produce the power. This force was in the form of cylinder pressure acting on the cross section area of the piston.18 The net heat release rates are shown in Fig.4c. At low combustion temperature condition of up to 40% load, the reduction in heat release rate was only 12% with respect to diesel fuel. As load increased, heat release rate was improved at 100% load and maximum heat release rate of 82.323 J/0CA, 80.100 J/0CA, and 76.540 J/0CAwas found for RD5, RD10 and RD15 respectively

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as compared to74.472 J/0CA for diesel mode. As the combustion in all cases was performed at fixed injection timing 230 bTDC and the maximum heat release rate was found to be at around 3590CA in all cases. The micro-explosion31 small ignition delay responsible for rise in cylinder pressure which ultimately results in the net heat released by biodiesel blend fuel air mixture was more than that of diesel fuel combustion. Fig.4d shows that the increase in both load and ROME concentration (RDXX) reduces ignition delay. With the increase in proportion of ROME in blend the large amount of heat was absorbed to evaporate the fuel during combustion which reduces the engine temperature and ultimately raises the ignition delay. Rao et al.40 reported a contradictory behavior stating that oxygen content in biodiesel improves ignition ability which is responsible for ignition delay. Based on the data collected, the computed performance parameter uncertainties were estimated and summarized in Table 3. Emission analysis. The emission of various gases from combustion of blends is shown in Fig. 5. From no load to full load the CO emissions for biodiesel blends was found lower by 32%, 30% and 35% for RD5, RD10 and RD15 respectively with respect to diesel fuel.(Fig. 5a).41 Supplying rich mixture to the engine at low load (temperature inside cylinder is less) and high load (requires more power) conditions causes incomplete combustion and more amount of CO releases.33 Moreover, the higher oxygen content in the biodiesel increases the combustion efficiency by reducing loss of chemical energy unused in engine.33, 38 NOx emission increases with increase in load on the engine because the combustion temperature increases and also more fuel supplied to the engine with load.42 From 0% to 60% load conditions, NOX emissions by biodiesel blend were found to be lower by 23%, 28% and 35% for RD5, RD10 and RD15 respectively (Fig. 5b). This is attributed to higher content of oxygen and absence of aromatics in biodiesel.43 At maximum load, NOx emission shows rise of 23%, 17% and 20% for RD5, RD10

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and RD15 respectively with respect to diesel was obtained. This is due to rise in exhaust gas temperature at high load (Fig.3d). Fig. 5c shows that diesel fuel produced more CO2 at all loads than blends. From 0% to 60% load, CO2 produced from RD0, RD5, RD10 and RD15 blends was 2.61%, 2.18%, 1.74% and 1.58% respectively which increased to 2.69%, 2.67%, 2.18% and 2.20% respectively for the load from 80 to 100%. This higher value of CO2 emission by diesel was probably due to higher content of carbon in the diesel fuel compared to ROME (Table 2).1, 29, 43 In biodiesel blend the hydrogen to carbon ratio was more than that of diesel fuel which causes the lesser percent of CO2 produced.29. HC emission changes in descending and ascending order of load as shown in Fig. 5d. The HC emissions for biodiesel blend found to be higher especially during low load and maximum load conditions. For the load condition from 40 to 80% the emissions for biodiesel blend were nearly equal or lower than that of diesel fuel. During low load condition, due to higher viscosity of biodiesel and lower combustion temperature inside cylinder the fuel doesn’t burn completely. Also on maximum load condition more fuel supplied to the engine responsible for rising HC.44

,45

CONCLUSIONS Non-conventional techniques for transesterification of RSO were studied. The processparameters such as methanol to ERSO molar ratio, reaction time and catalyst loading of Ba(OH)2·8H2O were optimized to improve the conversion of RSO. Optimum conversion of RSO (96.01%) was obtained using UH reactor configuration at MR of 7.5 with 5 wt% loading of catalyst in 10 min reaction time. The engine performance parameters for RDXX were investigated. The maximum BTE (i.e., 24%) which was achieved by diesel fuel at 80% load was increased to 28.36% in RD10 at the same load with a drastic improvement of 13 % overall increase with respect to

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diesel fuel. The brake specific fuel consumption shows 300 gm/kW-hr with biodiesel is lower as compared to diesel having 350 gm/kW-hr with overall decrease found was 5%. Overall 5% reduction of exhaust gas temperature was achieved with RDXX blends. The notable decrease in CO with overall reduction of 30% was achieved. Similarly with blends, NOx also reduced till 80% load, thereafter at maximum load it showed rise than diesel. Important greenhouse gas CO2 emission shows reduction of 1.58 vol. % for RD15 with use of biodiesel blend and this reduction in CO2 emissions increases with increase in percent of biodiesel in the blend. Total hydrocarbon (THC) emissions have higher emissions during lower load (0 to 20%) and maximum load (80 to 100%) by use of biodiesel blend but in mid-range (40 to 80%) the emissions are in control and found lesser than diesel fuel. Overall ROME-diesel may be considered as suitable blend which improves the engine performance as well as reduces emission releases. ACKNOWLEDGEMENT Authors would like to acknowledge the Central Instrument Facilities (CIF) and Center for Energy at Indian Institute of Technology Guwahati (IITG) for providing the characterization instruments to conduct the sample analyses and to provide the DI engine facilities respectively. REFERENCES (1) Behcet, R. Fuel Process. Technol. 2011, 92, 1187–1194. (2) Canakcia, M.; Erdil, A.; Arcaklioglu, E. Appli. Energy 2006, 83, 594–605. (3) Hingu, S. M.; Gogate, P. R.; Rathod, V. K. Ultrason. Sonochem. 2010, 17, 827–832. (4) Rakopoulos, C. D.; Antonopoulos, K. A.; Rakopoulos, D. C.; Hountalas, D. T.; Giakoumis, E. G. Energy Convers. Manage. 2006, 47, 3272–3287. (5) Khan, T. M. Y.; Atabani, A. E.; Badruddin, I. A.; Badarudin, A.; Khayoon, M. S.; Triwahyono, S. Renewable Sustainable Energy Rev. 2014, 37, 840–851.

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(6) Gole, V. L.; Gogate, P. R. Chem. Eng. Process. 2012, 53, 1–9. (7) He, B.; Van Gerpen, J. H. Biofuels 2012, 3, 479–488. (8) Atabani, A. E.; Silitonga, A. S.; Ong, H. C.; Mahlia, T. M. I.; Masjuki, H. H.; Badruddin, I. A.; Fayaz, H. Renewable Sustainable Energy Rev. 2013, 18, 211–245. (9) Atabani, A. E.; Badruddin, I. A.; Mahlia, T. M. I.; Masjuki, H. H.; Mofijur, M.; Lee, K. T.; Chong, W. T. Appl. Energy 2013, 685–694. (10) Sahoo, P. K.; Das, L. M.; Babu, M. K. G.; Naik, S. N. Fuel 2007, 86, 448–454. (11) Zhihao, M.; Xiaoyu, Z.; Junfa, D.; Xin, W.; bin, Z.; Jian, W. Procedia Environ. Sci. 2011, 11, 1078–1083. (12) Saravanan, N.; Nagarajan, G.; Puhan, S. Biomass Bioenergy 2010, 34, 838–843. (13) Reshad, A. S.; Tiwari, P.; Goud, V. V. Fuel 2015, 150, 636–344. (14) Geo, V. E.; Nagarajan, G.; Nagalingam, B. J. Energy Inst. 2008, 81, 177–180. (15) Atabani, A. E.; Badruddin, I. A.; Masjuki, H. H.; Chong, W. T.; Lee, K. T. Arabian J. Sci. Eng. 2015, 40, 538–594. (16) Knothe, G. J. Am. Oil Chem. Soc. 2006, 83, 823–833. (17) Yeung, D. K. W.; Lam, S. L.; Griffith, J. F.; Chan, A. B. W.; Chen, Z.; Tsang, P. H.; Leung, P. C. Chem. Phys. Lipids 2008, 151, 103–109. (18) Heywood, J. B., Internal combustion engine fundamentals. McGraw Hill international editions: New York, 1988. (19) Kline, S. J.; McClintock, F. A. Mech. Eng. 1953, 75, (1), 3–12. (20) Moffat, R. J. J. Fluids Eng. 1982, 104, 250–258. (21) Holman, J. P., Experimental methods for Engineers. McGraw-Hill New York, 1996. (22) Somnuk, K.; Smithmaitrie, P.; Prateepchaikul, G. Nat. Sci. 2012, 46, 662–669.

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(23) Yin, X.; Ma, H.; You, Q.; Wang, Z.; Chang, J. Appl. Energy 2012, 91, 320–325. (24) Deng, X.; Fang, Z.; Liu, Y.-H.; Yu, C.-L. Energy 2011, 36, 777–784. (25) Teixeira, L. S. G.; Assis, J. C. R.; Mendonca, D. R.; Santos, I. T. V.; Guimaraes, P. R. B.; Pontes, L. A. M.; Teixeira, J. S. R. Fuel Process. Technol. 2009, 90, 1164–1166. (26) Berchmans, H. J.; Hirata, S. Bioresour. Technol. 2008, 99, 1716–1721. (27) Silitonga, A. S.; Ong, H. C.; Mahlia, T. M. I.; Masjuki, H. H.; Chong, W. T. Fuel 2013. (28) Silitonga, A. S.; Masjuki, H. H.; Mahlia, T. M. I.; Ong, H. C.; Chong, W. T. Energy Convers. Manage. 2013, 76, 228–236. (29) Chattaopadhyay, S.; Sen, R. Appl. Energy 2013, 105, 319–326. (30) Xue, J.; Grift, T. E.; Hansen, A. C. Renewable Sustainable Energy Rev. 2011, 15, 1098– 1116. (31) Debnath, B. K.; Sahoo, N.; Saha, U. K. Energy Convers. Manage. 2013, 69, 191–198. (32) Ramadhas, A. S.; Muraleedharan, C.; Jayaraj, S. Renewable energy 2005, 30, 1789–1800. (33) Mahanta, P.; Mishra, S. C.; Kushwah, Y. S. Proc. Inst. Mech. Eng., Part A 2006, 220, 803–808. (34) Agarwal, A. K.; Das, L. M. J. Eng. Gas Turbines Power 2001, 123, 440–447. (35) Agarwal, A. K.; Rajamanoharan, K. Appl. Energy 2009, 86, (1), 106–112. (36) Silva, F. N.; Prata, A. S.; Teixeira, J. R. Energy Convers. Manage. 2003, 44, 2857–2878. (37) Hirkude, J. B.; Padalkar, A. S. Appl. Energy 2012, 90, 68–72. (38) Chattha, J. A.; Bannikov, M. G.; Iqbal, S. Energy Sources, Part A 2011, 33, 890–897. (39) Lee, C.S.; Park, S. W. ; Kwon, S. Energy & Fuels 2005, 19, 2201-2208 (40) Rao, G. L. N.; Prasad, B. D.; Sampath, S.; Rajagopal, K. Int. J. Green Energy 2007, 4, 645–658.

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(41) Geo, V. E.; Nagarajan, G.; Kamalakannan, J.; Nagalingam B. Energy & Fuels 2009, 23, 533–538 (42) Huang, J.; Wang, Y.; Qin, J.-B.; Roskilly, A. P. Fuel Process. Technol. 2010, 91, 1761– 1767. (43) Huang, Z. H.; Ren, Y.; Jiang, D. M.; Liu, L. X.; Zeng, K.; Liu, B.; Wang, X. B. Energy Convers. Manage. 2006, 47, 1402–1415. (44) Aziz, A. A.; Said, M. F.; Awang, M. A.; Said, M., The effects of neutralized palm oil methyl esters (NPOME) on performance and emission of a direct injection diesel engine. In Proceedings of the 1st International Conference on Natural Resources Engineering and Technology, Putrajaya, Malaysia, 2006; p Paper No. 3383. (45) Pradeep,V.;Sharma,R. Evaluation of performance, emission and combustion parameters of a CI engine fuelled with bio-diesel from rubber seed oil and its blends.SAE technical paper 200526-353,2005.

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List of Tables and Figures Table 1: Specification of diesel engine test bench and gas analyzer Make and model

Kirloskar, Model TV1

Engine type

Single-cylinder, 4-stroke DI diesel engine

Rated power

5.2 kW (7 BHP) @1500 rpm

Type of cooling

Water cooled

Bore × Stroke

87.5 × 110 mm

Swept volume

0.661 Liter

Compression ratio

17.5:1

Speed

1500 rpm, constant

Injection timing

(diesel) 23°BTDC

Make, type of sensor and

PCB make, Piezo electric (15000 psi)

maximum pressure Resolution and response time

0.1 psi, 2 micro seconds

Crank angle sensor

360 degree encoder with a resolution of 2 degree Specifications of exhaust gas analyzer$

Emission O2

CO

CO2

NO

NO2

Range*

104 ppm

50 vol.%

3000 ppm

500 ppm 40,000 ppm

25 vol.%

*

The of all the emission values are started from zero, $Uncertainty±5%

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HC

SO2 5000 ppm

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Table 2: Comparisons of important physico-chemical properties of various vegetable oils, biodiesels and blends of biodiesel with diesel Fuel Oil

Density

Specific

Cloud

Pour point,

Flash Point,

Fire point,

Kinematic

Calorific

@25⁰C

gravity

point, ⁰C

⁰C

⁰C

⁰C

viscosity, @25⁰C

value, MJ/kg

3

2

mm /s

864

0.846

–35–15

–15–5

52–96

N/D

1.9–4

42–46

B-ASTM

860–900

0.86–0.9

–3–12

–15–10

100–170min

N/D

1.9–6

35min

RSO

911

0.8991

6.5

2.13

273

282

30

39.34

ROME

883

0.8705

4

-3

131

146

3.81

39.53

RD15

861.2

0.8518

6

1.5

69

85

2.16

41.4

RD10

854.5

0.846

6

1.5

67

82

2.12

42.1

RD5

854.1

0.846

7

2

66

67

2.1

42.8

RD0

852.5

0.8408

7

2.5

60

66

1.98

44.29

CPO

905.2

N/S

N/S

N/S

N/S

N/S

34.45

N/S

CPOME

876.9

N/S

3

2.8

156.5

N/S

4.61

40.293

CPOME50

864.5

N/S

2.5

2

94.5

N/S

4.02

40.591

CPOME30

855

N/S

2

2

85.5

N/S

3.66

42.858

CPOME20

854

N/S

1.6

0

82.5

N/S

3.58

43.15

CPOME10

851.3

N/S

1

0

81.5

N/S

3.51

44.474

JCOME

864

N/S

5.8

3

160.5

N/S

4.48

40.224

JCOME50

860.6

N/S

N/S

N/S

94.5

N/S

4.12

42.117

JCOME30

851.2

N/S

N/S

N/S

84.5

N/S

4.02

43.859

JCOME20

845.2

N/S

N/S

N/S

82.5

N/S

3.75

44.249

JCOME10

839.9

N/S

N/S

N/S

82.5

N/S

3.61

45.25

CP €

CPO: crude ceibapentandra, CPOME, JCOME: ceibapentandra oil, Jatropha curcasoil methyl esters, £ceibapentandraoil, €Jatropha curcasoil

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Silitonga et al.27

D ASTM

£

Rubber seed

(Kg/m )

JC

Ref.

In this study

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48

Energy & Fuels

Energy & Fuels

Coconut Pangiumedule

875

N/S

10.5

10.5

156.5

N/S

4.45

40.151

POME50

858.1

N/S

N/S

N/S

92.5

N/S

3.89

40.146

POME30

857.9

N/S

N/S

N/S

83.5

N/S

3.64

40.901

POME20

854

N/S

N/S

N/S

77.5

N/S

3.58

42.483

POME10

844

N/S

N/S

N/S

75.5

N/S

3.51

44.913

Diesel

839

N/S

2

1

71.5

N/S

2.91

45.825

CMME

869.7

N/S

–4

–3

178.5

N/S

4.0565

39.534

CMME20

835.6

N/S

5

0

86.5

N/S

3.5023

44.23

CMME10

831.2

N/S

6

0

83.5

N/S

3.4675

44.90

CMME0

827.2

N/S

8

0

68.5

N/S

3.2333

45.304

CIME

877.4

N/S

10

11

93.5

N/S

5.7499

39.273

CIME20

843.3

N/S

8

1

73.5

N/S

3.6105

44.065

CIME10

838.8

N/S

8

1

72.5

N/S

3.4066

44.578

COME

866.4

N/S

0

–4

120.5

N/S

4.607

38.006

COME20

841.3

N/S

7

–15

76.5

N/S

3.3427

43.748

COME5

838.1

N/S

7

0

74.5

N/S

3.7862

44.532

Diesel

827.2

N/S

8

0

68.5

N/S

3.2333

45.304

PEME

871

N/S

–6

–4

N/D

N/S

5.2296

39.625

PEME20

843.2

N/S

6

–3

79.5

N/S

3.5278

44.082

PEME15

842.2

N/S

6

0

76.5

N/S

3.4481

44.412

PEME10

840.4

N/S

8

0

74.5

N/S

3.3467

44.634

PEME5

838.5

N/S

7

0

73.5

N/S

3.2759

44.907

PEME0

827.2

N/S

8

0

68.5

N/S

3.2333

45.272

Atabani et al.15

POME

Atabani et al.9

CIO*

CMO

#

Palm

Continued….. Silitonga et al.27

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POME, CMME, CIME, COME and PEME: Palm oil, Croton megalocarpus, Calophylluminophyllum, Coconut and Pangiumedule methyl esters respectively. #Croton megalocarpusoil, *Calophylluminophyllumoil

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Table 3:Uncertainty associated with computed parameters Computed parameters

Uncertainty

Brake power

± 0.9%

Brake thermal efficiency

± 1.52%

Brake specific fuel consumption

± 1.14%

Net heat release rate

± 1.6%

Ignition delay

± 0.2%

Emissions

± 5%

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Fig.1: Schematic of DI diesel Engine test Bench; 1. Engine set up; 2. Eddy-current dynamometer; 3. Air box with orifice meter; 4. Fuel tank; 5. Exhaust gas line; 6.Crank angle encoder; 7. Cylinder pressure transducer with amplifier; 8. Computer system with EngineSoft Software; 9.Exhaust Gas calorimeter; 10. Exhaust Gas emission analyzer; 11. Strain gauge type load cell; 12.Fuel measuring tube.

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Fig.2: Effect of process parameters on RSO conversion (a) molar ratio of methanol to oil, (b) reaction time and (c) catalyst loading. 25 ACS Paragon Plus Environment

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Fig. 3: Engine performance analysis (a) Brake power variation with load, (b) Brake specific fuel consumption variation with load, (c) Brake thermal efficiency variation with load and (d) Exhaust gas temperature variation with load

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Fig. 4: Combustion analysis; (a) Cylinder pressure variation with crank angle, (b) Peak cylinder pressure variation with load, (c) Net heat release rate variation with crank angle and (d) Ignition delay variation with load 27 ACS Paragon Plus Environment

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Fig. 5: Emission analysis with different blends (RDXX) at various loads; (a) CO emission, (b) NOX emission, (c) CO2 emission and (d) HC emission 28 ACS Paragon Plus Environment