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Article

Environment-Friendly Biodiesel/Diesel Blends for Improving the Exhaust Emission and Engine Performance to Reduce the Pollutants Emitted from Transportation Fleets

by
Amit Kumar Sharma
1,*,
Pankaj Kumar Sharma
2,*,
Venkateswarlu Chintala
3,
Narayan Khatri
2 and
Alok Patel
4
1
Department of Chemistry and Biofuels Research Laboratory, Centre for Alternate Energy Research, R&D, University of Petroleum and Energy Studies, Dehradun 248007, Uttarakhand, India
2
Department of Mechanical Engineering and Biofuels Research Laboratory, Centre for Alternate Energy Research, R&D, University of Petroleum and Energy Studies, Dehradun 248007, Uttarakhand, India
3
School of Engineering and applied Sciences, National Rail and Transportation institute, Deemed to be University, Vadodara 390 004, Gujarat, India
4
Biochemical Process Engineering, Division of Chemical Engineering, Department of Civil, Environmental and Natural Resources Engineering, Lulea University of Technology, 971 87 Lulea, Sweden
*
Authors to whom correspondence should be addressed.
Int. J. Environ. Res. Public Health 2020, 17(11), 3896; https://doi.org/10.3390/ijerph17113896
Submission received: 10 May 2020 / Revised: 25 May 2020 / Accepted: 29 May 2020 / Published: 31 May 2020
(This article belongs to the Special Issue Bioprocess Engineering for a Green and Sustainable Society)

Abstract

:
Biodiesel derived from biomass is a renewable source of fuel, and global application of biodiesel in the transport sector has rapidly expanded over the last decade. However, effort has been made to overcome its main shortcoming, i.e., efficiency and exhaust emission characteristics (NOx emissions) in unmodified diesel engines. Biodiesel combustion generally results in lower unburned hydrocarbons (HC), carbon monoxide (CO), and particulate matter (PM) in exhaust emissions compared to fossil diesel. In this study, various biodiesel blends (Chlorella vulgaris, Jatropha curcus, and Calophyllum inophyllum) were investigated for fuel characteristics, and engine performance with exhaust emission compared to diesel. Chlorella vulgaris, Jatropha curcus, and Calophyllum inophyllum biodiesel were synthesized by the acid–base transesterification approach in a microwave reactor and blended with conventional diesel fuel by volume. The fuel blends were denoted as MB10 (90% diesel + 10% microalgae biodiesel), MB20 (80% diesel + 20% microalgae biodiesel), JB10 (90% diesel + 10% jatropha biodiesel), JB20 (80% diesel + 20% jatropha biodiesel), PB10 (90% diesel + 10% polanga biodiesel) and PB20 (80% diesel + 20% polanga biodiesel). Experiments were performed using these fuel blends with a single-cylinder four-stroke diesel engine at different loads. It was shown in the results that, at rated load, thermal efficiency of the engine decreased from 34.6% with diesel to 34.1%, 33.7%, 34.1%, 34.0%, 33.9%, and 33.5% with MB10, MB20, JB10, JB20, PB10, and PB20 fuels, respectively. Unburned hydrocarbon, carbon monoxide and smoke emissions improved with third-generation fuels (MB10, MB20) in comparison to base diesel fuel and second-generation fuels (JB10, JB20, PB10 and PB20). Oxides of nitrogen emissions were slightly increased with both the third- and second-generation fuels as compared to the base diesel. The combustion behavior of microalgae biodiesel was also very close to diesel fuels. In the context of comparable engine performance, emissions, and combustion characteristics, along with biofuel production yield (per year per acre), microalgae biodiesel could have a great potential as a next-generation sustainable fuel in compression engine (CI) engines compared to jatropha and polanga biodiesel fuels.

1. Introduction

Increasing demand of energy with limited fossil-fuel-based resources has caused a move towards sustainable and renewable sources of energy [1]. The most suitable alternative to fossil fuel is biomass-based renewable energy sources, which accounted for almost 59% of total renewable-based energy sources in 2015 for European Union [2]. Global exposure to renewable energy sources raised their consumption level in 2012 to about 19 per cent of global energy consumption. The European Union ‘s commitment to renewable energy is expected to rise by 55–75% by 2050 [2,3]. The action plan to shift towards a sustainable low-carbon economy by 2050 established key elements for EU climate action which will help the EU to become a competitive low-carbon economy by 2050 [3].
Presently the Indian government has taken unprecedented initiatives in field of biofuels to meet the huge energy demand in transportation, power generation, and agriculture. The Indian government has undertaken several policy interventions and biodiesel blending targets. For example, the biodiesel blending program (BBP) that started on 10 August 2015 in five cities has been extended to six states in the country [4]. Further, the government of India is exploring supplying a 5% biodiesel blend to bulk consumers such as Indian Railways and the defense sector [5]. However, large-scale production of biodiesel has still not started in India. On the other hand, there has been much criticism of the sustainability of first-generation biofuels crops (food versus fuel debate), net greenhouse gases (GHG) balance, and net energy balance. These criticisms have led to growing interest in second-generation and third-generation biofuels. Microalgae could be a promising option among third-generation biofuels due to its high potential of energy production per acre compared to conventional oilseed crops. Microalgae can mature within 2–3 days as compared to Jatropha, Karanja etc. (second-generation biofuels), which take 2–3 years. Microalgae have good potential for production of different types of biofuels, such as biodiesel, bioethanol, biogas, and biohydrogen. In addition, microalgae biofuels do not have any competition with agricultural land as they are aquatic species and can be cultivated in brackish or waste water. Some microalgae can double their biomass within 6–24 h and accomplish up to 50% lipid content in dry biomass [6,7]. Microalgae species are able to produce 7–30 times more oil than high-yielding terrestrial oilseed crops [8,9]. In addition to this, terrestrial crops are seasonal while microalgae can be cultivated in photo-bioreactors or open ponds throughout the year. Furthermore, microalgae require about 49–132 times less space compared to agricultural crops, such as rapeseed and soybean, for the same quantity of biodiesel production [10,11,12].
The performance of engines commonly depends on fuel quality. Borecki et al. proposed a capillary sensor with disposable optrode of diesel fuel quality, which shows an ability to classify known and unknown fuel samples [13]. The physicochemical properties of the biodiesel fuels generally depend upon their fatty acid methyl esters (FAMEs) compositions [14,15,16]. It has been reported that microalgae biodiesel fuels have similar favorable physiochemical properties as that of second-generation biodiesel fuels for diesel engine applications [17,18,19]. In this direction, Tüccar et al. examined the effect of algae biodiesel blends on the diesel engine performance [20] and observed a significant deterioration in brake thermal efficiency when the engine run with algae biodiesel blends. In another experimental investigation, they run a compression engine (CI) engine fueled with 10% and 20% diesel–butanol–microalgae biodiesel blends at different loads [21]. As a result, they found a slight increase in engine efficiency along with the benefit of emission reduction. Makareviciene et al. performed experiments on a multicylinder diesel engine generator using microalgae biodiesel (MB) fuel blends (70% diesel + 30% MB) and also observed a slight decrease in the engine efficiency [22]. Al-lwayzy et al. used Chlorella Protothecoides biodiesel blends (CP-B20, CP-B50 and CP-B100) to run a direct injection DI diesel engine [14]. Islam et al. conducted experiments on a four-cylinder turbocharged common rail DI diesel engine using algae biodiesel (10%, 20% and 50%) [23]. They suggested that 20% algae biodiesel has the closest alignment to diesel in terms of performance [23]. They assessed some of the combustion characteristics, such as in-cylinder pressure variation, indicated mean effective pressure, and rate of pressure rise for engine. However, the information on comparison of performance, combustion, and emission characteristics of microalgae biodiesel fuels in CI engines is scant in the literature. Nevertheless, there is also discrepancy on emission results from one study to another. For example, Tüccar et al. [21], Velappan et al. [24], Jayaprabakar et al. [25], Islam et al. [23], reported oxides of nitrogen (NOx) emission increase with the use of microalgae biodiesel in CI engines. In contrast to this, some other studies reported NOx emission reduction with microalgae biodiesel blends [26,27,28]. Hence, in order to address the above research gaps, an attempt has been made to focus on comparative assessment of a single-cylinder diesel engine (3.7 kW rated power at 1500 rpm) with diesel, microalgae biodiesel (Chlorella vulgaris based biodiesel) blends, and jatropha and polanga biodiesel blends. The main objectives of this study are to:
  • To produce microalgae, jatropha, and polanga biodiesel using acid–base transesterification;
  • To assess and compare engine characteristics (performance, combustion, and emission characteristics) of microalgae (MB10 and MB20), jatropha (JB10 and JB 20) and polanga (PB10 and PB20) with base fuel, i.e., commercial diesel fuel;
  • To compare third-generation biofuels (MB10, MB20) with second-generation biofuels (JB10, JB20, PB10 and PB20).

2. Materials and Methods

2.1. Production of Microalgae, Jatropha and Polanga Biodiesel

(a) Microalgae biodiesel production: A pure culture of Chlorella vulgaris microalgae was cultivated using commercial fertilizer as a nutrient in an open raceway pond of 1200 L working volume for 52 days at semicontinuous mode, which achieved the optimum productivity of 19.61 g/m2/day [29]. Microalgae biomass was harvested using alum as flocculants. After that, the biomass slurry was filtered through cotton cloth, followed by drying under sunlight and microwave treatment. About 23.15% lipid yield was extracted using chloroform:methanol (2:1 ratio) as solvent in the Soxhlet extraction method. The acid value of extracted lipid was 12.39%. Therefore, acid–base catalyzed transesterification process was employed to produce biodiesel. To reduce free fatty acids (FFAs) less than 2%, firstly acid esterification was performed using 20% methanol (v/v) and 1.5% H2SO4 (sulfuric acid: v/v ratio) at 64 °C temperature for 15 min. Now the impurities were removed from refined lipid oil by a simple gravity method. This refined lipid oil was transesterified under the following reaction conditions: catalyst 1% KOH (potassium hydroxide) and molar ratio of 1:10 of lipid to alcohol at 64 °C for 10 min. At the end of reaction, the mixture of products (biodiesel, glycerol, and excess alcohol) was allowed to separate in a separating funnel. After that, biodiesel was separated from glycerol and excess alcohol carefully and washed with (slightly acidic) hot distilled water to remove other impurities. Biodiesel is insoluble in water and easily separated from water. However, due to its hygroscopic nature, it acquires some moisture. To remove this moisture, biodiesel was treated with sodium sulphate and filtered through Whatman filter paper. The moisture-free biodiesel was stored in airtight borosilicates bottles [29].
(b) Jatropha and polanga biodiesel production methodology: jatropha and polanga biodiesel oil was procured from the local vendor in Dehradun Uttarakhand and they had free fatty acid levels of (FFA) 13.6% and 4.3% respectively. Therefore, both the jatropha and polanga biodiesel was again prepared by an acid–base catalyzed transesterification reaction process. To reduce the free fatty acids concentrations of both oils to less than 2%, the oil was esterified using methanol as cosolvent in presence of an acid catalyst (sulphuric acid). The esterified oil was allowed to separate into two layers i.e., refined oil and excess methanol with impurities. Thereafter, it was transesterified using 20% methanol (v/v) and KOH as catalyst at 64 °C in a microwave reactor (Table 1). The transesterified product was transferred in a separating funnel and permitted to separate into three different layers, i.e., excess methanol (uppermost layer), biodiesel (middle layer), and glycerol (lowermost layer). After separating the biodiesel layer and washing three to four times by distilled water, the moisture was again removed using sodium sulphate and a centrifuge. This moisture-free biodiesel was used to prepare fuel blends with Euro IV diesel to examine the performance and emissions. The optimized parameter used to produce the biodiesel from microalgae, jatropha, and polanga oil is shown in Table 1.

2.2. Physico-Chemical Properties of Fuel Blends

The biodiesels derived from jatropha, polanga, and microalgae were blended with conventional diesel in different proportions such as MB10 (10% microalgae biodiesel + 90% diesel), MB20 (20% microalgae biodiesel + 80% diesel), JB10 (10% jatropha biodiesel + 90% diesel), JB20 (20% jatropha biodiesel + 80% diesel), PB10 (10% polanga biodiesel + 90% diesel), PB20 (80% polanga biodiesel + 10% diesel). The fuel properties of pure diesel and biodiesel fuel blends (MB10, MB20, JB10, JB20, PB10, and PB20) such as density, kinematic viscosity, cloud point, flash point, oxidation stability and calorific value were analyzed as per the American Society for Testing and Materials (ASTM) standards and shown in Table 2. However, several properties, e.g., oxidation stability of biodiesel fuel blends, did not meet ASTM standards which can be improved using suitable antioxidants. Biodiesel composition was analyzed using a Nucon 5700 series Gas chromatograph equipped with flame ionization detector (FID). Nitrogen was used as carrier gas. A capillary EOX column (serial no 5061; 30 m length, 0.25 mm ID and 0.25 mm outer diameter) were used to separate and identify fatty acids [12,30,31]. Chlorella vulgaris biodiesel composed of 28.49% saturated fatty acid, 35.44% monounsaturated fatty acid, and 35.97% polyunsaturated fatty acid, while jatropha biodiesel was with 27.73% saturated fatty acids, 42.03% monounsaturated, and 33.48% polyunsaturated fatty acids (Table 3). In contrast, polanga biodiesel had 26.90% saturated fatty acids, 33.48% monounsaturated fatty acids, and 37.24% polyunsaturated fatty acids.

2.3. Engine Experimental Test Setup and Procedure

The experiments were performed on a single-cylinder, four-stroke, direct injection compression ignition (CI) engine (3.7 kW) equipped with eddy current dynamometer. Technical specifications and the experimental setup of engine are shown in Figure 1 and Table 4. Emission parameters, such as hydrocarbon (HC), carbon monoxide (CO) and nitrogen oxides (NOx), were analyzed using a gas analyzer (Model-AVL Digas 444). A smoke meter (AVL model 437C) was used for smoke measurement. A computerized system for fuel and air consumption measurements was integrated with the test engine (Figure 1). A pressure transducer was mounted on the engine’s cylinder head for measurement of in-cylinder pressure. The engine combustion diagnosis system was used to trace the in-cylinder pressure signal with respect to engine crank angle revolutions.
To perform the experiments, the engine was run with pure diesel (D100), microalgae biodiesel blends (MB10 and MB20), jatropha biodiesel blends (JB 10 and JB 20), and polanga biodiesel blends (PB 10 and PB20) at different load conditions (20%, 40%, 60%, 80%, and 100%). The experimental test matrix is illustrated in Table 5. Emissions were represented here on mass basis and converted using Equation (1). Measurement range and resolution of various parameters are listed in Table 6. The uncertainty of experimentally measured emission parameters such as HC, CO, NOx, and smoke were determined using standard deviation method. Similarly, the uncertainty of calculated parameters such as thermal efficiency were determined using Equation (2) [32].
Mass   emission   of   species = F species × MW species MW exhaust   gas × m ˙ exhaust   gas Brake   power × 360
where:
F species = Mole   fraction   of   exhaust   gas   species   ( CO ,   HC   and   NO x ) MW = Molecular   weight ;   m ˙ =   Mass   flow   rate ,   kg / s
q = [ ( q x 1 Δ x 1 ) 2 + ( q x 2 Δ x 2 ) 2 + + ( q x n Δ x n ) 2 ] 1 2

2.4. Heat Release Rate Determination

Heat release rate (HRR) with respect to degree of crank angle (CA) during combustion of fuel (diesel/MB10/MB20) is determined using conservation of energy equation as given below (Equations (3)–(12)):
dQ = dU + dW + dQloss
Substituting, dU = mCvdT and dW = pdV in the above equation:
dQ = mCvdT + pdV + dQloss
Assuming the air–fuel charge inside the cylinder as an ideal gas, Equation (4) could be rewritten as given in Equations (8) and (9).
The ideal gas equation is:
pV = mRT
pdV + Vdp = mRdT
dT = (pdV + Vdp)/mR
d Q = m C v p d V + V d p m R + p d V + d Q l o s s
d Q = p d V ( 1 + C v R ) + C v R V d p + d Q l o s s
Since Cv/R = 1/(γ-1), the Equation (9) is modified as given in Equation (10).
d Q = p d V ( γ γ 1 ) + 1 γ 1 V d p + d Q l o s s
With consideration of convective heat transfer as major heat loss from the engine system, the Equation (10) could be written as given in Equation (11).
d Q = p d V ( γ γ 1 ) + 1 γ 1 V d p + h c   d A c y l i n d e r   d ( T g T w )
The Equation (11) could be expressed as Equation (12) for engine operation with respect to degree CA (HRR with respect to degree CA).
d Q d θ = γ γ 1 p d V d θ + 1 γ 1 V d p d θ + h c d A c y l d θ d ( T g T w ) d θ

3. Results and Discussions

3.1. Comparison of Performance Characteristics of the Engine with Different Fuel Blends

Figure 2 shows variation in brake thermal efficiency (BTE) of microalgae, jatropha, and polanga biodiesel blended fuels (MB10, MB20, JB10, JB20, PB10 and PB 20) with variation of engine loads compared to diesel (D100). The BTE of the engine with microalgae biodiesel blends (MB10 and MB20) was found better than other tested biodiesel blends (JB10, JB20, PB10 and PB20). The BTE increased significantly with increasing engine load with all types of fuel blends. However, at a particular load, the efficiency decreased slightly with biodiesel blending. For example, at 100% load (rated load), the BTE decreased from 34.55% with diesel to 34.05%, 33.66%, 33.91%, 33.47%, 34.13%, and 34.2% with MB10, MB20, JB10, JB20, PB10, and PB20 respectively. It may be noted that, under uncertainty limits, the efficiency of the engine with all biodiesel blend fuels was almost comparable with neat diesel operation. This may be due to lower calorific value of the biodiesel blended fuels than the base fuel (pure diesel). Calorific value of diesel, MB10, MB20, JB10, JB20, PB10, and PB20 fuels were examined in laboratory as 44.24 MJ/kg, 43.81 MJ/kg, 43.12 MJ/kg, 43.71 MJ/kg, 43.01 MJ/kg, 43.6 MJ/kg, and 42.94 MJ/kg. Similarly, it is to be noted that density of biodiesel blends (MB10: 833.5 kg/m3, MB20: 835.2 kg/m3, JB10: 832.8 kg/m3, JB20: 835.1 kg/m3, PB10: 832.9 kg/m3 and PB20: 834.8 kg/m3) are higher than diesel (830.1 kg/m3). Higher density, viscosity, and lower calorific value of fuel affects its spray characteristics such as poor atomization, high amount of heat absorption for vaporization of large fuel droplets and poor mixing of the fuel vapor, which lead to incomplete combustion reaction and results in higher fuel consumption [23,33,34].
Islam et al. also reported that the brake specific fuel consumption (BSFC) of algae biodiesel blend (MB50: 50% algae biodiesel and 50% diesel) increased by 9.3% in comparison to pure diesel [23] and therefore, the BTE of the CI engine decreased significantly with all fuel blends [23,25,35]. Similarly in another study, the BTE of a CI engine fueled with pure diesel fuel and microalgae biodiesel blends decreased from 30% (pure diesel) to 25% (MB20) [25]. The variation in brake specific fuel consumption (BSFC) of the test engine fueled with all biodiesel blends (MB10, MB20, JB10, JB20, PB10, and PB20) are shown in Figure 3. As shown in Figure 3, the BSFC of the test engine was found to be decreased with increasing load. In addition, the fuel consumption of the tested engine was also increased with increasing biodiesel blending share from 10% to 20%. For example, at 100% load, BSFC increased from 0.237 kg/kWh with pure diesel to 0.243 kg/kWh, 0.250 kg/kWh, 0.244 kg/kWh, 0.252 kg/kWh, 0.242 kg/kWh, and 0.246 kg/kWh with MB10, MB20, JB10, JB20, PB10, and PB20 fuels respectively. It could also be observed that the BSFC increased with higher rates at lower load (20% load) than at higher load (100% load) as shown in Figure 3. However, BSFC for all fuel blends are almost comparable with neat diesel operation under uncertainty limits. Wahlen et al. also observed that the BSFC of a multicylinder 7.9 kW CI engine also decreased with a microalgae-biodiesel blend [26]. In a comparative assessment of microalgal oil with croton oil, Tsaousis et al. reported that microalgal biodiesel demonstrated significantly higher BSFC at lower loads (10%) than higher loads [17]. In contrast, the higher oxygen content of microalgal biodiesel as compared to croton biodiesel leads to complete combustion of the fuel and thus higher in-cylinder temperature rise which finally lowers the BSFC at higher loads [17].

3.2. Comparison of Combustion Characteristics of the Engine with Different Fuels

The in-cylinder pressure profiles and heat release rate (HRR) with respect to crank angle for all kinds of tested fuels (D100, MB10, MB20, JB10, JB20, PB10, and PB20) are shown in Figure 4; Figure 5 respectively. It was observed that the maximum in-cylinder pressures were about 63.3, 57.7, 60.9, 62.4, 63.1, 63.3, and 63.5 bar for D100, MB10, MB20, JB10, JB20, PB10, and PB20 fuel blends at 100% load. The in-cylinder pressure increased significantly with increasing engine load with all the biodiesel blends (MB10, MB20, JB10, JB20, PB10, and PB20). In addition, the peak pressures with jatropha and polanga biodiesel blends are higher than microalgae-based biodiesel blends Figure 4. The decreasing in-cylinder pressure trend could be due to reduction in combustion reaction rates. Experimental work carried out by Islam et al. also revealed the similar results of decreasing of in-cylinder pressure with algae biodiesel blends [23]. This could be attributed due to lower calorific value and higher viscosity [23]. Ignition delay could also be increased due to poor atomization of high-density fuel [36]. This effect is even worse with high percentage of biodiesel blending shares and subsequently, the in-cylinder pressure reduced at higher rates with MB20 as compared to MB10.
The heat release rate (HRR) of the engine with respect to degree crank angle at 100% load is illustrated in Figure 5a. The HRR increased significantly with increase in the engine load. However, for a particular load, the heat release rates with all biodiesel blends are lower than the pure diesel operation. For example, at the rated load, peak HRR decreased from 43 J/°CA with base diesel to 37, 40, 39, 41, 39, and 40 J/°CA with MB10, MB20, JB10, JB20, PB10, and PB20 fuels respectively (Figure 5a). It is evident from the results that the HRR is reduced with rising biodiesel share in the fuel blend considerably. With MB20 fuel, the cumulative heat release (CHRR) increased from 1095.9 J at 20% load to 1484.2 J, 1763.9 J, and 1837.8 J at 60%, 80%, and 100% loads respectively. However, the CHRR decreased significantly with MB10 and MB20 fuels as compared to pure diesel. It is well known that CHRR is an indicative measure of combustion efficiency of the engine [37,38]. Hence, reduction in the CHRR directly leads to decrease in combustion efficiency and subsequently reduction in thermal efficiency of the engine. Figure 5b represents mass fraction burnt with respect to degrees crank angle for all the biodiesel fuel blends at 100% load. The combustion process delayed considerably with the biodiesel blended fuels as shown in the Figure 5b. For example, 100% mass fraction burnt was achieved at 372.8 °CA with base diesel, but it was delayed to 380.1 °CA with MB20 fuel.

3.3. Comparison of Emission Characteristics of the Engine with Different Fuels

Figure 6a,b illustrates a comparison of hydrocarbon (HC) and carbon monoxide (CO) emission characteristics of the tested engine powered with various biodiesel fuel blends. Both types of emissions decreased significantly for all biodiesel fuel blends with increasing biodiesel blending share at lower loads. However, at higher loads, the emissions reduction was marginal. For example, the HC emission decreased about 3.27%, 7.06%, 1.56%, 7.10%, 6.81%, and 5.29% for MB10, MB20, JB10, JB 20, PB10, and PB20 fuels, respectively, at 20% engine load, whereas it was 5.37%, 12.41%, 3.89%, 10.33%, 3.22%, and 9.99% lower for MB10, MB20, JB10, JB20, PB10, and PB20 fuels, respectively, at 100% load in comparison to base fuel (pure diesel). Similarly, the CO emissions were also reduced with increasing percentage of biodiesel in fuel blends. On average, the CO emissions for MB10, MB20, JB10, JB20, PB10, and PB20 fuels were decreased by 3.1%, 8.8%, 3.2%, 7.6%, 1.9% and 4.0% relative to neat diesel fuel. Additionally, it was also observed that CO emissions decreased with increasing load Figure 6b. This can be explained by the fact that biodiesel is an oxygenated fuel and the presence of oxygen in fuel blends leads to cleaner combustion which results in lower emissions [39]. The CO emission formation during combustion in CI engines is illustrated with the mechanism given in Equations (15)–(17) [39,40]. The CO emission decreased from 3.68 g/kWh, 3.61 g/kWh, 3.70 g/kWh, and 3.76 g/kWh with JB10, JB20, PB10, and PB20 fuel to 3.67 g/kWh and 3.57 with MB10 and MB20 fuels from the test engine at higher load. In addition, both the MB10 and MB20 fuels (third-generation biofuels) also showed lower CO emission levels than diesel (base fuel) and JB10, JB20, PB10, and PB20 (second generation fuels) at all loads (Figure 6b).
RH →R → RO2 → RCHO → RCO → CO
CO + OH → CO2 + H
where rate constant for this reaction is:
kf,CO = 6.76 × 1010 exp(T/1102) cm3/gmol
Figure 6c represents oxides of nitrogen (NOx) emissions for different biodiesel blends at different loads from the tested engine. The engine-out NOx emission was found higher with all the biodiesel fuels (i.e., MB10, MB20, JB10, JB20, PB10, and PB20) as compared to base diesel fuel. For example, the NOx emissions increased from 5.89 g/kWh with diesel fuel to 5.96 g/kWh (MB10), 6.02 g/kWh (MB20), 5.98 g/kWh (JB 10), 6.08 g/kWh JB (20), 6.07 g/kWh (PB10), and 6.13 g/kWh (PB20) at higher load (100% load). It is well known that the NOx emission formation in a CI engine mainly depends on three parameters: (i) in-cylinder temperature, (ii) amount of oxygen present inside the combustion chamber, and (iii) combustion reaction time [41]. In addition to these parameters, it could also be proved that the emission formation rate will depend on the temperature rise during premixed combustion phase [42,43,44]. Large number of double bonds (more unsaturation) leads to higher flame temperature during premixed combustion, resulting in more NOx formation [45]. Higher NOx emission values in the present study could be due to the dominant effects of higher oxygen content and higher reaction time (higher combustion duration). The in-cylinder temperature reduction with biodiesel blending might have an insignificant effect on the emission formation. Tüccar et al. also found an increment in NOx emission of a DI 89 kW diesel engine with algae biodiesel–diesel blend (20% microalgae biodiesel and 80% diesel) from about 700 ppm to 810 ppm due to presence of more oxygen content in the microalgae biodiesel [21]. Velappan et al. also revealed that the NOx emissions increased from about 760 ppm (100% diesel fuel) to 855 ppm (20% microalgae biodiesel and 80% diesel) in a 5.2 kW CI engine at full load [24]. Jayaprabakar et al. also conducted the experimental tests on a CI and observed that the emissions increased 15.49% with algae biodiesel (710 ppm) as compare to diesel fuel (600 ppm) at 100% load and 23° BTDC fuel injection timing [25]. In another study at 100% load, NOx emission increased by 22% when engine powered with 50% microalgae blends [23]. The NOx formation of biodiesels depends on higher gas temperature at the end of combustion cetane numbers and oxygen content in biodiesel [45]. In addition to this, longer carbon chain length in microalgae biodiesel would also lead to higher adiabatic flame temperature and thus high NOx emission formation [45]. Makareviciene et al. represented that the physical mechanisms of formation of incomplete combustion products (carbon monoxide: CO) inside the combustion chamber are opposite to the mechanisms of NOx emission formation [22]. As a rule, engine-out CO emission decreases if NOx emission increases, and vice versa [22]. Contrary to these results, some researchers reported lower NOx emissions with biodiesel blends than base diesel [26,28]. For example, Wahlen et al. found 24% lower NOx with microalgae biodiesel blended fuel as compared to diesel fuel in a multi cylinder CI engine [26]. Mathimani et al. also reported the similar results of lower NOx emission with microalgae biodiesel blends than diesel fuel [27]. At 100% load, the NOx emission values were 356, 353 and 329 ppm for diesel, B10 and B20, respectively [46]. Finally, it could be concluded that, though very few research works reported a reduction in NOx emission with biodiesel blending, many of the studies support the fact of increase in the emission due to dominant effect of inherent oxygen content in biodiesel fuel.
The formation of smoke in CI engines takes place primarily due to heterogeneous combustion and the smoke opacity increases substantially with increase in degree of heterogeneity in the air–fuel mixture [41]. If the air–fuel ratio in a CI engine decreases, the smoke emission formation rate may increase drastically [38,43]. Smoke emission released from the tested diesel engine with different biodiesel blends at various load is represented in Figure 7.
The results revealed that the smoke emissions increased significantly with increasing engine load for all fuel blends (D100, MB10, MB20, JB10, JB20, PB10, and PB20). For example, with MB20 fuel, the smoke emissions increased from 21% opacity at 20% load to 53% opacity at 100% load as shown in Figure 7. However, the smoke emission reduced considerably with increasing share of biodiesel in fuel blends. Many researchers reported that biodiesel has lower aromatics and extra oxygen in comparison to base fuel diesel [47,48]. The presence of low carbon molecules and oxygen leads to soot production in fuel and resulting into lower smoke emissions [34,49,50]. The lower sulphur content in biodiesel than base diesel fuels may be another reason behind this [33,47,49]. Furthermore, the smoke emissions also increased significantly with increases engine output power (load) for all tested fuel blends (diesel, MB10, MB20, JB10, JB20, PB10 and PB20). At rated load, the smoke emission reduced from 58% opacity with base diesel fuel to 55%, 53%, 58%, 56%, 56%, and 54% opacity with MB10, MB20, PB10, and PB20 fuels respectively (Figure 7). Smoke emission results in the current study are in line with the existing literature results. Makareviciene et al., in their experimental study, reported a reduction in smoke emission by 10% with algae biodiesel blend (30% biodiesel and 70% diesel) utilization in a 30 kW diesel engine [22]. Similarly, Dhamodaran et al. reported that smoke opacity was decreased with increasing biodiesel share in fuel blends [50]. High oxygen content, lower aromatics, and sulfur in the fuel blends reduces the possibility of soot precursor formation [45].

4. Conclusions

The experiments were performed on a single-cylinder 3.7 kW DI diesel engine with third-generation biofuels (MB10, MB20) and second-generation biofuels (JB10, JB20, PB10, and PB20) at various loads (20%, 40%, 60%, 80%, and 100%). The following conclusions emerged from the comparative assessment.
  • The BTE of the engine decreased slightly with all the tested biodiesel blends (MB10, MB20, JB10, JB20, PB10, and PB20) in comparison to base diesel fuels at all loads, due to the lower calorific value, higher density, and viscosity of the biodiesel blends. However, this slight increase in the efficiency is insignificant under uncertainty limits.
  • Lower in-cylinder pressure and heat-release rates were observed with the biodiesel blends due to slow oxidation reaction rates at low combustion temperatures. At 100% load, the in-cylinder peak pressure decreased from 63.3bar with base diesel to 57.7, 60.9, 62.41, 62.37, 63.3, and 63.5 bar for D100, MB10, MB20, JB10, JB20, PB10, and PB20 fuel blends at 100% load.
  • All carbon-based emissions (hydrocarbons: HC, carbon monoxide: CO) decreased with increasing biodiesel blending share at all loads. This reduction was at higher rate at higher loads than lower loads. The HC emission decreased about 2.1%, 9.8%, 1.9%, 8.1%, 1.0%, and 7.5% for MB10, MB20, JB10, JB20, PB10, and PB20, respectively, at lower load. Similarly, engine-out CO emissions with MB10, MB20, JB10, JB20, PB10, and PB20 fuels decreased by 3.2%, 7.0%, 1.5%, 7.1%, 6.8%, and 5.2% relative to neat diesel fuel.
  • NOx emission increased with all the tested biodiesel blends as compared to base diesel fuel at all loads due to the dominant effect of oxygen content. However, NOx emissions can be reduced significantly using engine after-treatment technologies such as selective catalytic reduction.
  • Smoke emissions were found to be decreased marginally with increasing biodiesel blending share at all loads. At rated load, the smoke emission decreased from 58% opacity with base diesel fuel to 55%, 53%, 58%, 56%, 56%, and 54% opacity with MB10, MB20, JB10, JB20, PB10, and PB20 fuels respectively.
Finally, it could be concluded that microalgae-biodiesel blends are a more clean fuel for diesel engines than jatropha and polanga biodiesel, with a slight penalty in performance and emission characteristics of the engine. On the basis of the microalgae bio-oil yield per hectare per year, carbon dioxide sequestration and performance and emission characteristics, it can be concluded that microalgae (a third-generation fuel) is more suitable candidate to replace diesel fuel in CI engines in comparison to second-generation diesel fuels (jatropha and polanga biodiesel fuels).

Author Contributions

Conceptualization, A.K.S. and P.K.S.; Data curation, V.C. and N.K.; Investigation, A.K.S, N.K. and A.P.; Methodology, A.K.S. and P.K.S.; Project administration, A.K.S. and P.K.S.; Resources, A.K.S.; Software, A.P.; Supervision, A.K.S. and A.P.; Visualization, A.P.; Writing—original draft, A.KS. and A.P.; Writing—review & editing, P.K.S., A.P. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Conflicts of Interest

The authors declare no conflict of interest.

>Nomenclature

q x 1 , q x 2 , ... ,   q x n Partial differential of calculated parameter q which depends on different measured variables x1, x2,…,xn.
m ˙ Mass flow rate of fluid/species/fuel, kg/s
R ˙ Universal gas constant, J/mol-K
MBMicroalgae-biodiesel
ASTMAmerican Standard Testing Method
BSFCBrake specific fuel consumption, kg/kWh
BTEBrake thermal efficiency, %
CHRRCumulative heat release rate, J/cycle
CICompression ignition
COCarbon monoxide
DDiesel
FspeciesMole fraction of exhaust gas species (CO, HC and NOx)
FFAFree fatty acid
HCHydrocarbon emission, g/kWh
HRRHeat release rate, J/⸰CA
JBJatropha-biodiesel
MWMolecular weight
NEngine speed, rpm
NDIRNondispersive infrared
NOxOxides of nitrogen, g/kWh
pIn-cylinder pressure
PRated power, kW
PBPolanga biodiesel
QHeat release rate, kJ
RCharacteristic gas constant
TTemperature, K or oC
UInternal energy, J
θ Degree crank angle

References

  1. Patel, A.; Arora, N.; Sartaj, K.; Pruthi, V.; Pruthi, P.A. Sustainable biodiesel production from oleaginous yeasts utilizing hydrolysates of various non-edible lignocellulosic biomasses. Renew. Sustain. Energy Rev. 2016, 62, 836–855. [Google Scholar] [CrossRef]
  2. Scarlat, N.; Dallemand, J.-F.; Monforti-Ferrario, F.; Banja, M.; Motola, V. Renewable energy policy framework and bioenergy contribution in the European Union–An overview from National Renewable Energy Action Plans and Progress Reports. Renew. Sustain. Energy Rev. 2015, 51, 969–985. [Google Scholar] [CrossRef]
  3. Scarlat, N.; Dallemand, J.-F.; Monforti-Ferrario, F.; Nita, V. The role of biomass and bioenergy in a future bioeconomy: Policies and facts. Environ. Dev. 2015, 15, 3–34. [Google Scholar] [CrossRef]
  4. Purohit, P.; Dhar, S. Biofuel Roadmap for India, Promoting Low Carbon Transport in India; UNEP DTU Partnership (United Nations Environment Programme); 2015; Available online: https://backend.orbit.dtu.dk/ws/portalfiles/portal/120569025/Biofuel_Roadmap_for_India.pdf (accessed on 1 October 2015).
  5. India’s Intended Nationally Determined Contribution: Working Towards Climate Justice; United Nations Framework Convention on Climate Change (UNFCCC), Bonn. Available online: http://www4.unfccc.int/submissions/indc/published%20documents/india/1/india%20indc%20to%20unfccc.pdf (accessed on 1 October 2015).
  6. Maranduba, H.L.; Robra, S.; Nascimento, I.A.; Da Cruz, R.S.; Rodrigues, L.B.; De Almeida Neto, J.A. Improving the energy balance of microalgae biodiesel: Synergy with an autonomous sugarcane ethanol distillery. Energy 2016, 115, 888–895. [Google Scholar] [CrossRef]
  7. Yadav, M.; Chavan, S.B.; Singh, R.; Bux, F.; Sharma, Y.C. Experimental study on emissions of algal biodiesel and its blends on a diesel engine. J. Taiwan Inst. Chem. Eng. 2019, 96, 160–168. [Google Scholar] [CrossRef]
  8. Kumar, K.; Mishra, S.K.; Shrivastav, A.; Park, M.S.; Yang, J.-W. Recent trends in the mass cultivation of algae in raceway ponds. Renew. Sustain. Energy Rev. 2015, 51, 875–885. [Google Scholar] [CrossRef]
  9. Ma, X.; Gao, M.; Gao, Z.; Wang, J.; Zhang, M.; Ma, Y.; Wang, Q. Past, current, and future research on microalga-derived biodiesel: A critical review and bibliometric analysis. Environ. Sci. Pollut. Res. 2018, 25, 10596–10610. [Google Scholar] [CrossRef]
  10. Adesanya, V.O.; Cadena, E.; Scott, S.A.; Smith, A.G. Life cycle assessment on microalgal biodiesel production using a hybrid cultivation system. Bioresour. Technol. 2014, 163, 343–355. [Google Scholar] [CrossRef]
  11. Rashid, N.; Rehman, M.S.U.; Sadiq, M.; Mahmood, T.; Han, J.-I. Current status, issues and developments in microalgae derived biodiesel production. Renew. Sustain. Energy Rev. 2014, 40, 760–778. [Google Scholar] [CrossRef]
  12. Havilah, P.R.; Sharma, P.K.; Gopinath, M. Combustion characteristics and kinetic parameter estimation of Lantana camara by thermogravimetric analysis. Biofuels 2016, 10, 1–8. [Google Scholar] [CrossRef]
  13. Borecki, M.; Prus, P.; Korwin-Pawlowski, M.L. Capillary Sensor with Disposable Optrode for Diesel Fuel Quality Testing. Sensors 2019, 19, 1980. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  14. Al-lwayzy, S.H.; Yusaf, T. Diesel engine performance and exhaust gas emissions using Microalgae Chlorella protothecoides biodiesel. Renew. Energy 2017, 101, 690–701. [Google Scholar] [CrossRef]
  15. Piloto-Rodríguez, R.; Sánchez-Borroto, Y.; Melo-Espinosa, E.A.; Verhelst, S. Assessment of diesel engine performance when fueled with biodiesel from algae and microalgae: An overview. Renew. Sustain. Energy Rev. 2017, 69, 833–842. [Google Scholar] [CrossRef]
  16. Vishwakarma, R.; Dhar, D.W.; Saxena, S. Influence of nutrient formulations on growth, lipid yield, carbon partitioning and biodiesel quality potential of Botryococcus sp. and Chlorella sp. Environ. Sci. Pollut. Res. 2019, 26, 7589–7600. [Google Scholar] [CrossRef]
  17. Tsaousis, P.; Wang, Y.; Roskilly, A.P.; Caldwell, G.S. Algae to Energy: Engine Performance Using Raw Algal Oil. Energy Procedia 2014, 61, 656–659. [Google Scholar] [CrossRef] [Green Version]
  18. Sassi, P.G.P.; Calixto, C.D.; Da Santana, J.K.S.; Sassi, R.; Sassi, C.F.C.; Abrahão, R. Cultivation of freshwater microalgae in biodiesel wash water. Environ. Sci. Pollut. Res. 2017, 24, 18332–18340. [Google Scholar] [CrossRef]
  19. Katiyar, R.; Gurjar, B.R.; Kumar, A.; Bharti, R.K.; Biswas, S.; Pruthi, V. A novel approach using low-cost Citrus limetta waste for mixotrophic cultivation of oleaginous microalgae to augment automotive quality biodiesel production. Environ. Sci. Pollut. Res. 2019, 26, 16115–16124. [Google Scholar] [CrossRef]
  20. Tüccar, G.; Aydın, K. Evaluation of methyl ester of microalgae oil as fuel in a diesel engine. Fuel 2013, 112, 203–207. [Google Scholar] [CrossRef]
  21. Tüccar, G.; Özgür, T.; Aydın, K. Effect of diesel–microalgae biodiesel–butanol blends on performance and emissions of diesel engine. Fuel 2014, 132, 47–52. [Google Scholar] [CrossRef]
  22. Makarevičienė, V.; Lebedevas, S.; Rapalis, P.; Gumbyte, M.; Skorupskaite, V.; Žaglinskis, J. Performance and emission characteristics of diesel fuel containing microalgae oil methyl esters. Fuel 2014, 120, 233–239. [Google Scholar] [CrossRef]
  23. Islam, M.A.; Rahman, M.M.; Heimann, K.; Nabi, M.N.; Ristovski, Z.D.; Dowell, A.; Thomas, G.; Feng, B.; Von Alvensleben, N.; Brown, R.J. Combustion analysis of microalgae methyl ester in a common rail direct injection diesel engine. Fuel 2015, 143, 351–360. [Google Scholar] [CrossRef] [Green Version]
  24. Velappan, R.; Sivaprakasam, S.; Kannan, M. Study the Performance of Algae Oil in Diesel Engine with Various Injection Pressure. Int. Res. J. Eng. Technol. 2015, 02, 1152–1157. [Google Scholar]
  25. Jayaprabakar, J.; Karthikeyan, A. Performance and emission characteristics of rice bran and alga biodiesel blends in a CI engine. Mater. Today Proc. 2016, 3, 2468–2474. [Google Scholar] [CrossRef]
  26. Wahlen, B.D.; Morgan, M.R.; McCurdy, A.T.; Willis, R.M.; Morgan, M.D.; Dye, D.J.; Bugbee, B.; Wood, B.D.; Seefeldt, L.C. Biodiesel from Microalgae, Yeast, and Bacteria: Engine Performance and Exhaust Emissions. Energy Fuels 2013, 27, 220–228. [Google Scholar] [CrossRef]
  27. Mathimani, T.; Kumar, T.S.; Chandrasekar, M.; Uma, L.; Prabaharan, D. Assessment of fuel properties, engine performance and emission characteristics of outdoor grown marine Chlorella vulgaris BDUG 91771 biodiesel. Renew. Energy 2017, 105, 637–646. [Google Scholar] [CrossRef]
  28. Al-lwayzy, S.; Yusaf, T.; Al-Juboori, R. Biofuels from the Fresh Water Microalgae Chlorella vulgaris (FWM-CV) for Diesel Engines. Energies 2014, 7, 1829. [Google Scholar] [CrossRef] [Green Version]
  29. Sharma, A.K.; Sahoo, P.K.; Singhal, S.; Joshi, G. Exploration of upstream and downstream process for microwave assisted sustainable biodiesel production from microalgae Chlorella vulgaris. Bioresour. Technol. 2016, 216, 793–800. [Google Scholar] [CrossRef]
  30. Sharma, A.K.; Sahoo, P.K.; Singhal, S. Comparative evolution of biomass production and lipid accumulation potential of Chlorella species grown in a bubble column photobioreactor. Biofuels 2016, 7, 1–11. [Google Scholar] [CrossRef]
  31. Joshi, G.; Rawat, D.S.; Sharma, A.K.; Pandey, J.K. Microwave enhanced alcoholysis of non-edible (algal, jatropha and pongamia) oils using chemically activated egg shell derived CaO as heterogeneous catalyst. Bioresour. Technol. 2016, 219, 487–492. [Google Scholar] [CrossRef]
  32. Chintala, V.; Subramanian, K.A. Experimental investigation of hydrogen energy share improvement in a compression ignition engine using water injection and compression ratio reduction. Energy Convers. Manag. 2016, 108, 106–119. [Google Scholar] [CrossRef]
  33. Monirul, I.M.; Masjuki, H.H.; Kalam, M.A.; Mosarof, M.H.; Zulkifli, N.W.M.; Teoh, Y.H.; How, H.G. Assessment of performance, emission and combustion characteristics of palm, jatropha and Calophyllum inophyllum biodiesel blends. Fuel 2016, 181, 985–995. [Google Scholar] [CrossRef]
  34. Khan, K.; Kumar, G.; Sharma, A.K.; Kumar, P.S.; Mandal, C.; Chintala, V. Performance and emission characteristics of a diesel engine using complementary blending of castor and karanja biodiesel. Biofuels 2018, 9, 53–60. [Google Scholar] [CrossRef]
  35. Shameer, P.M.; Ramesh, K.; Sakthivel, R.; Purnachandran, R. Effects of fuel injection parameters on emission characteristics of diesel engines operating on various biodiesel: A review. Renew. Sustain. Energy Rev. 2017, 67, 1267–1281. [Google Scholar] [CrossRef]
  36. Gowdagiri, S.; Wang, W.; Oehlschlaeger, M.A. A shock tube ignition delay study of conventional diesel fuel and hydroprocessed renewable diesel fuel from algal oil. Fuel 2014, 128, 21–29. [Google Scholar] [CrossRef]
  37. Ferguson, C.R.; Kirkpatrick, A.T. Internal Combustion Engines(Applied Thermosciences); John Wiley & Sons. Inc.: New York, NY, USA, 2001. [Google Scholar]
  38. Chintala, V.; Subramanian, K.A. A comprehensive review on utilization of hydrogen in a compression ignition engine under dual fuel mode. Renew. Sustain. Energy Rev. 2017, 70, 472–491. [Google Scholar] [CrossRef]
  39. Subramanian, K.A.; Chintala, V. Reduction of GHGs emissions in a biodiesel fueled diesel engine using hydrogen. In Proceedings of the ASME 2013 Internal Combustion Engine Fall Technical Conference, Dearborn, Michigan, 13–16 October 2013. [Google Scholar]
  40. Heywood, J.B. Internal Combustion Engines Fundamentals; McGraw-Hill, Inc.: New York, NY, USA, 1988. [Google Scholar]
  41. Chintala, V.; Subramanian, K.A. Hydrogen energy share improvement along with NOx (oxides of nitrogen) emission reduction in a hydrogen dual-fuel compression ignition engine using water injection. Energy Convers. Manag. 2014, 83, 249–259. [Google Scholar] [CrossRef]
  42. Chintala, V.; Subramanian, K.A. CFD analysis on effect of localized in-cylinder temperature on nitric oxide (NO) emission in a compression ignition engine under hydrogen-diesel dual-fuel mode. Energy 2016, 116, 470–488. [Google Scholar] [CrossRef]
  43. Chintala, V.; Subramanian, K.A. Experimental investigations on effect of different compression ratios on enhancement of maximum hydrogen energy share in a compression ignition engine under dual-fuel mode. Energy 2015, 87, 448–462. [Google Scholar] [CrossRef]
  44. Chintala, V.; Subramanian, K.A. Experimental investigation on effect of enhanced premixed charge on combustion characteristics of a direct injection diesel engine. Int. J. Adv. Eng. Sci. Appl. Math. 2014, 6, 3–16. [Google Scholar] [CrossRef]
  45. Pinzi, S.; Rounce, P.; Herreros, J.M.; Tsolakis, A.; Dorado, M.P. The effect of biodiesel fatty acid composition on combustion and diesel engine exhaust emissions. Fuel 2013, 104, 170–182. [Google Scholar] [CrossRef]
  46. El-Baz, F.K.; Gad, M.S.; Abdo, S.M.; Abed, K.A.; Matter, I.A. Performance and Exhaust Emissions of a Diesel Engine Burning Algal Biodiesel Blends. Int. J. Mech. Mechatron. Eng. 2016, 16, 151–158. [Google Scholar]
  47. Arunkumar, M.; Kannan, M.; Murali, G. Experimental studies on engine performance and emission characteristics using castor biodiesel as fuel in CI engine. Renew. Energy 2019, 131, 737–744. [Google Scholar] [CrossRef]
  48. Kavitha, M.S.; Murugavelh, S. Optimization and transesterification of sterculia oil: Assessment of engine performance, emission and combustion analysis. J. Clean. Prod. 2019, 234, 1192–1209. [Google Scholar] [CrossRef]
  49. Kandasamy, S.K.; Selvaraj, A.S.; Rajagopal, T.K.R. Experimental investigations of ethanol blended biodiesel fuel on automotive diesel engine performance, emission and durability characteristics. Renew. Energy 2019, 141, 411–419. [Google Scholar] [CrossRef]
  50. Dhamodaran, G.; Krishnan, R.; Pochareddy, Y.K.; Pyarelal, H.M.; Sivasubramanian, H.; Ganeshram, A.K. A comparative study of combustion, emission, and performance characteristics of rice-bran-, neem-, and cottonseed-oil biodiesels with varying degree of unsaturation. Fuel 2017, 187, 296–305. [Google Scholar] [CrossRef]
Figure 1. Pictorial view of experimental setup with gas analyzers and smoke meter.
Figure 1. Pictorial view of experimental setup with gas analyzers and smoke meter.
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Figure 2. Comparison of brake thermal efficiency with respect to engine loading for microalgae, polanga, and jatropha biodiesel blends.
Figure 2. Comparison of brake thermal efficiency with respect to engine loading for microalgae, polanga, and jatropha biodiesel blends.
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Figure 3. Comparison of brake specific fuel consumption with respect to engine loading for microalgae, polanga, and jatropha biodiesel blends.
Figure 3. Comparison of brake specific fuel consumption with respect to engine loading for microalgae, polanga, and jatropha biodiesel blends.
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Figure 4. In-cylinder pressure profiles with diesel, microalgae, polanga, and jatropha biodiesel blends at different loads.
Figure 4. In-cylinder pressure profiles with diesel, microalgae, polanga, and jatropha biodiesel blends at different loads.
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Figure 5. (a) Heat release rate profiles with diesel, microalgae, polanga, and jatropha biodiesel blends at 100% load. (b) Mass fractions burnt in the engine with diesel, microalgae, and polanga biodiesel blends at 100% load.
Figure 5. (a) Heat release rate profiles with diesel, microalgae, polanga, and jatropha biodiesel blends at 100% load. (b) Mass fractions burnt in the engine with diesel, microalgae, and polanga biodiesel blends at 100% load.
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Figure 6. (a) Comparison of HC emissions with respect to engine loading for microalgae, jatropha, and polanga biodiesel fuels. (b) Comparison of CO emissions with respect to engine loading for microalgae, jatropha, and polanga biodiesel fuels. (c) Comparison of NOx emissions with respect to engine loading for microalgae, jatropha, and polanga biodiesel fuels.
Figure 6. (a) Comparison of HC emissions with respect to engine loading for microalgae, jatropha, and polanga biodiesel fuels. (b) Comparison of CO emissions with respect to engine loading for microalgae, jatropha, and polanga biodiesel fuels. (c) Comparison of NOx emissions with respect to engine loading for microalgae, jatropha, and polanga biodiesel fuels.
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Figure 7. Comparison of smoke emission with respect to engine loading for different fuels.
Figure 7. Comparison of smoke emission with respect to engine loading for different fuels.
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Table 1. Production of microalgae, jatropha, and polanga biodiesel.
Table 1. Production of microalgae, jatropha, and polanga biodiesel.
S. NoParametersJatropha OilPolanga OilMicroalgae Oil
1st Stage2nd Stage1st Stage2nd Stage1st Stage2nd Stage
1Oil/lipid (mL)250.0276.5250,0268.4250.0265.1
2Methanol (in %, v/v of oil)50.025.050.025.050.025.0
3Co-solvent (Toluene, % v/v)1.0-1.0-1.0-
5Acid catalyst (Sulphuric acid, in %, v/v)0.25-1.50-2.00-
6Base catalyst (Potassium hydroxide in%, wt/v)-0.9-1.1-1.5
7Reaction temperature (°C)646564656465
8Reaction duration (min)761081215
9Microwave power (watt)700700700700700700
10Settling time (min)457045704570
11Results
(a) Byproduct + impurities (glycerol + excess methanol + excess catalyst + gum), in mL25.5 ± 2-32.6 ± 2-35.9 ± 268.3 ± 2
(b) Methanol recovered-36 ± 3-33.7 ± 3-nd
(c) Glycerol recovered (mL)-18 ± 2-15 ± 2-nd
13Biodiesel Yield (in mL)-241.4-236.8-219.0
14Final biodiesel Yield (%) 96.5 ± 3 94.7 ± 4 87.6 ± 3
Nd = not determined.
Table 2. Fuel properties of diesel and biodiesel blends.
Table 2. Fuel properties of diesel and biodiesel blends.
ParametersTest MethodDieselMB10MB20JB10JB20PB10PB20MB100JB100PB100Error Analysis
Density at 15 °C (kg/m3)ASTM-D 4052830.1833.5835.2832.8835.1834.1836.9889.0878.0883.0±0.5%
Viscosity at 40 °C (mm2/s) or cStASTM-D 4452.852.912.992.923.012.943.034.874.985.24±0.5%
Pour point (°C)ASTM-D 97−2−3−32−14−1−413±1%
Flash point (°C)ASTM-D 9357881019010889120154162158±1%
Copper strip corrosionASTM-D 1301111111111-
Calorific value (MJ/kg)ASTM-D 13043.9443.3442.7443.7143.0143.2342.5238.9436.9438.08±3%
Oxidation stability (IP, at 140 °C, h)ASTM D 240-09Not determined16.37.318.38.614.86.94.53.73±0.5%
Water contentASTM D-27090.0020.0050.0180.060.190.070.190.120.110.12±0.5%
Table 3. Composition of microalgae, jatropha, and polanga biodiesel.
Table 3. Composition of microalgae, jatropha, and polanga biodiesel.
Fatty Acid Composition (%)Carbon StructureComposition
Microalgae BiodieselJatropha BiodieselPolanga Biodiesel
Capric acidC10.00.83--
Lauric acidC12.00.21--
Myristic acidC14.02.04--
Palmitic acidC16:021.2615.8711.97
Palmitoleic acidC16:19.862.871.08
Stearic acidC18:06.867.8613.23
Oleic acidC18:126.7842.1633.87
Linoleic acidC18:231.0832.1436.34
Linolenic acidC18:36.891.340.9
Arachidic acidC20.00.29--
Erucic acidC22.12.18--
Saturated Fatty acids 28.4923.7326.90
Monounsaturated fatty acids 35.4442.0334.95
Polyunsaturated fatty acids 35.9733.4837.24
Table 4. Technical specifications of the test engine.
Table 4. Technical specifications of the test engine.
ParticularsSpecifications
Engine typeSingle cylinder, four stroke, water cooled, direct injection compression engine
Bore x Stroke80 × 110 mm
Cubic capacity0.533 L
Compression ratio16.5:1
Rated speed (rpm)1500
Power3.7 kW
Specific fuel consumption245 g/kWh
Table 5. Detailed experimental test matrix.
Table 5. Detailed experimental test matrix.
Test TrailsFuel UsedEngine LoadMeasurements
Trail 1Diesel20% load: 0.7 kW
40% load: 1.5 kW
60% load: 2.2 kW
80% load: 2.9 kW
100% load: 3.7 kW
Performance parameters: Fuel consumption, Brake power
Combustion parameters: In-cylinder pressure versus crank angle (CA) degrees
Emission parameters: CO, HC, NOx and Smoke emissions
Trail 2MB10, MB20
Trail 3JB10, JB20
Trail 4PB10, PB20
Table 6. Details of measurement range and resolution of instruments.
Table 6. Details of measurement range and resolution of instruments.
Instrument/Sensor NameMeasuring ParameterMeasuring RangeResolutionAccuracyUncertainty (%)
NDIR analyzerCO emission (by volume)0–10%0.01%±0.03%2.86
HC emission (ppm)0–10.0001±102.56
NOx emission (ppm)0–5.0001<1000 ppm ± 5 ppm ≥1000 ppm ± 5% of value2.692
Smoke meterSmoke emission (%)0–100% Opacity0.1% Opacity±1% of value2.512
BP ±2.2%
BTE ±1.29%

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Sharma, A.K.; Sharma, P.K.; Chintala, V.; Khatri, N.; Patel, A. Environment-Friendly Biodiesel/Diesel Blends for Improving the Exhaust Emission and Engine Performance to Reduce the Pollutants Emitted from Transportation Fleets. Int. J. Environ. Res. Public Health 2020, 17, 3896. https://doi.org/10.3390/ijerph17113896

AMA Style

Sharma AK, Sharma PK, Chintala V, Khatri N, Patel A. Environment-Friendly Biodiesel/Diesel Blends for Improving the Exhaust Emission and Engine Performance to Reduce the Pollutants Emitted from Transportation Fleets. International Journal of Environmental Research and Public Health. 2020; 17(11):3896. https://doi.org/10.3390/ijerph17113896

Chicago/Turabian Style

Sharma, Amit Kumar, Pankaj Kumar Sharma, Venkateswarlu Chintala, Narayan Khatri, and Alok Patel. 2020. "Environment-Friendly Biodiesel/Diesel Blends for Improving the Exhaust Emission and Engine Performance to Reduce the Pollutants Emitted from Transportation Fleets" International Journal of Environmental Research and Public Health 17, no. 11: 3896. https://doi.org/10.3390/ijerph17113896

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