Energy and Exergy Analysis of a Diesel Engine Fuelled with Diesel and Simarouba Biodiesel Blends

Panigrahi, Nabnit; Mohanty, Mahendra Kumar; Mishra, Sruti Ranjan; Mohanty, Ramesh Chandra

doi:10.1007/s40032-016-0335-9

Cited by 27 publications

(9 citation statements)

References 21 publications

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“…The molecular formula of biodiesel was obtained as per Panigrahi et al 38 is mentioned in equation (25) No: of element in the biodiesel ¼ No: of element in that compound Â % of that compound Total %…”

Section: Resultsmentioning

confidence: 99%

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Energy and exergy analysis of a CI engine fuelled with polanga oil methyl ester

Panigrahi¹

2018

Energy & Environment

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This study extant, energy and exergy analysis of a CI engine running on PB20 (20% polanga biodiesel by volume blended with 80% diesel by volume) mixture of 20% polanga oil methyl ester (POME) with 80% diesel by volume) and diesel. The results of the study show that the heat loss percentage is maximum, and the exhaust loss percentage is minimum for the tested fuels in energy distribution. The percentage of exergy destruction is maximum, and exergy due to heat loss percentage is minimum for the tested fuels during exergy breakdown. PB20 provides 1.4% less energy to the engine than diesel fuel to give the same power. The rate of heat transfer for PB20 is more than that of diesel. Energy loss due to exhaust gas for PB20 is 13% less than that of diesel fuel. The exergy input is about 6–7% higher than the fuel energy input. Exergy destruction of diesel is more than that of PB20 by 3.18%. Exergy loss due to heat loss of PB20 is higher than that of diesel by 1.5%. Overall, the test results indicate that better combustion and efficiencies with less irreversibility are found with biodiesel. Uncertainty analysis and sensitivity analysis are carried out by considering the temperature parameter. The uncertainty lies between the true values. Thus, PB20 can be a partial replacement for diesel as a fuel.

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Section: Resultsmentioning

confidence: 99%

“…The molecular formula of biodiesel was obtained as per Panigrahi et al. 38 is mentioned in equation (25)…”

Section: Resultsmentioning

confidence: 99%

Energy and exergy analysis of a CI engine fuelled with polanga oil methyl ester

Panigrahi¹

2018

Energy & Environment

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“…The experimental investigation on the CI engine both by quantitative and qualitative methods based on thermodynamic I and II law respectively indicated that the exergy is a important measure of engine performance [13]. The energetic and exergetic efficiency were found to be higher in simarouba bio diesel blends than in diesel [14]. The qualitative analysis of thermodynamic system in engines operated with diesel rather than quantitative computations was utilized to examine the possibilities for irreversibility in the different engine parts.…”

Section: Introductionmentioning

confidence: 99%

Exergy analysis in diesel engine with binary blends

et al. 2022

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Investigation on diesel engine with minimized fuel consumption rate and increased output power is not the meaningful procedure if irreversibility in the thermodynamic system is ignored. This current procedure is aimed to signify the importance of exergy analysis in diesel engine performance on the perspective of Second law of thermodynamics analysis. In this study, diesel-cotton seed oil blends were tested on engine running with direct fuel injection mode of operation. The experiments were conducted with Diesel(D), 5% cotton seed oil-95% diesel(CB5), 10% cotton seed oil-90% diesel(CB10) and 15% cotton seed oil-85% diesel(CB15) for estimation of brake power, energy rate and exergy rate in the fuel and exhaust, heat release rate, exergy destruction, ideal efficiency (I law) and actual (II law) efficiency. The results outcome that an increase in trend was observed in the fuel exergy and thermal exergy loss with engine speed for D, CB5, CB10 and CB15. The loss of exergy, heat release rate, % of exergy and exergy transferred through exhaust gases decreased for CB5, CB10 and CB15 compared to diesel.

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“…Ziya Sögüt [13] employed seven alternative fuels to study the micro-turbojet engine from an exergetical viewpoint. Panigrahi et al [14] used diesel and SB20 (a blend of 20 vol. % Simarouba biodiesel and 80% diesel) to do exergy and energy analysis on a 3.5 kW compression ignition engine.…”

Section: Introductionmentioning

confidence: 99%

An Intelligent Artificial Neural Network-Response Surface Methodology Method for Accessing the Optimum Biodiesel and Diesel Fuel Blending Conditions in a Diesel Engine from the Viewpoint of Exergy and Energy Analysis

et al. 2018

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Biodiesel, as the main alternative fuel to diesel fuel which is produced from renewable and available resources, improves the engine emissions during combustion in diesel engines. In this study, the biodiesel is produced initially from waste cooking oil (WCO). The fuel samples are applied in a diesel engine and the engine performance has been considered from the viewpoint of exergy and energy approaches. Engine tests are performed at a constant 1500 rpm speed with various loads and fuel samples. The obtained experimental data are also applied to develop an artificial neural network (ANN) model. Response surface methodology (RSM) is employed to optimize the exergy and energy efficiencies. Based on the results of the energy analysis, optimal engine performance is obtained at 80% of full load in presence of B10 and B20 fuels. However, based on the exergy analysis results, optimal engine performance is obtained at 80% of full load in presence of B90 and B100 fuels. The optimum values of exergy and energy efficiencies are in the range of 25-30% of full load, which is the same as the calculated range obtained from mathematical modeling.

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Energy and Exergy Analysis of a Diesel Engine Fuelled with Diesel and Simarouba Biodiesel Blends

Cited by 27 publications

References 21 publications

Energy and exergy analysis of a CI engine fuelled with polanga oil methyl ester

Energy and exergy analysis of a CI engine fuelled with polanga oil methyl ester

Exergy analysis in diesel engine with binary blends

An Intelligent Artificial Neural Network-Response Surface Methodology Method for Accessing the Optimum Biodiesel and Diesel Fuel Blending Conditions in a Diesel Engine from the Viewpoint of Exergy and Energy Analysis

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