Determination of specific heat ratio and error analysis for engine heat release calculations

Abbaszadehmosayebi, G.; Ganippa, Lionel

doi:10.1016/j.apenergy.2014.01.028

Cited by 24 publications

(10 citation statements)

References 32 publications

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“…Combustion duration increased by 10 crank angle degrees from 25 to 100% engine load. Similar results were obtained with biodiesel fuel blends due to the amount of burning fuel mass with the increase of engine load .…”

Section: Resultssupporting

confidence: 85%

“…Furthermore, increased injected fuel allows decreasing in the air to fuel ratio with the increase of engine load. Thus, it causes higher in-cylinder pressure and temperature and NO formation [38][39][40][41][42][43][44][45][46][47][48][49][50][51][52][53][54]. It was found that the lowest NO x emission was measured as 300.95 ppm with D100 at 15.00 Nm engine load.…”

Section: Resultsmentioning

confidence: 99%

“…It has been also considered that there is no gas leakage from the valves, segments or etc. In addition, it is assumed that ideal gas is delivered to the cylinder and thermodynamic situation of charge mass is stable during the cycle [41][42][43][44][45][46][47].…”

Section: Smoke Meter 20 Emission Indicationmentioning

confidence: 99%

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Comparison of the combustion, performance, and emission characteristics of inedible Crambe abyssinica biodiesel and edible hazelnut, corn, soybean, sunflower, and canola biodiesels

Uyaroğlu¹,

Uyumaz

Çelıkten

2017

Env Prog and Sustain Energy

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In this study, the effects of hazelnut oil–diesel (H30), corn oil–diesel (C30), soybean oil–diesel (S30), sunflower oil–diesel (Su30), canola oil–diesel (Ca30) and Crambe abyssinica oil–diesel (Cr30) and diesel fuel blends were investigated on combustion characteristics, engine performance and NOx, CO, HC, and soot emissions. A single cylinder, four stroke, direct injection diesel engine was operated at maximum brake torque engine speed of 2200 rpm and 7.5, 11.25, 15, and 18.75 Nm engine loads. Test results showed that thermal efficiency decreased by about 3.1, 6.44, 7.08, 7.40, 8.76, and 11.68% with H30, C30, S30, Su30, Ca30, and Cr30 compared to D100 at full load, respectively. There was no big differences on cylinder pressure between test fuels. However, higher heat release rate was obtained with D100 according to fuel blends due to higher calorific value of D100. Test results also showed that HC, CO, and soot emissions decreased with biodiesel fuel blends compared to diesel fuel for all engine loads while NOx emissions increased. At full load, HC and CO decreased by about 81.2 and 21.5%, respectively, with C30 compared to diesel. Similarly, soot reduced 51.3% with Su30 compared to diesel at the same engine load. However, NOx increased 15.8% with C30 according to diesel at full load. It was concluded that biodiesel–diesel fuel blends can be used efficiently in a diesel engine. © 2017 American Institute of Chemical Engineers Environ Prog, 37: 1438–1447, 2018

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Section: Resultssupporting

confidence: 85%

Section: Resultsmentioning

confidence: 99%

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Comparison of the combustion, performance, and emission characteristics of inedible Crambe abyssinica biodiesel and edible hazelnut, corn, soybean, sunflower, and canola biodiesels

Uyaroğlu¹,

Uyumaz

Çelıkten

2017

Env Prog and Sustain Energy

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“…A good SRM model is expected to match the experimental in-cylinder pressure traces with an acceptable error, and that the predictions for the output emissions match the trends and values observed experimentally with reasonable accuracy. Further analysis of the SRM model performance can be done based on the comparison of the apparent heat release rate (aHRR) profiles, which can be derived from the pressure profiles directly, using equation (5) 39…”

Section: Methodsmentioning

confidence: 99%

Evaluation of zero-dimensional stochastic reactor modelling for a Diesel engine application

Korsunovs

Campean

Pant

et al. 2019

International Journal of Engine Research

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Prediction of engine-out emissions with high fidelity from in-cylinder combustion simulations is still a significant challenge early in the engine development process. This article contributes to this fast evolving body of knowledge by focusing on the evaluation of NO x emission prediction capability of a probability density function–based stochastic reactor engine models for a Diesel engine. The research implements a systematic approach to the study of the stochastic reactor engine model performance, underpinned by a detailed space-filling design of experiments (DoE)-based sensitivity analysis of both external and internal parameters, evaluating their effects on the accuracy in matching physical measurements of both in-cylinder conditions and NO x output. The approach proposed in this article introduces an automatic stochastic reactor engine model calibration methodology across the engine operating envelope, based on a multi-objective optimization approach. This aims to exploit opportunities for internal stochastic reactor engine model parameters tuning to achieve good overall modelling performance as a trade-off between physical in-cylinder measurements accuracy and the output NO x emission predictions error. The results from the case study provide a valuable insight into the effectiveness of the stochastic reactor engine model, showing good capability for NO x emissions prediction and trends, while pointing out the critical sensitivity to the external input parameters and modelling conditions.

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“…A commonly adopted approach for 0-D combustion models is to employ the empirical Wiebe model to simulate the fuel mass-burn rate and compute the combustion energy released. The combustion process can be represented by single or multiple Wiebe functions, which are mathematically defined by single or multiple Wiebe coefficients for combustion efficiency, shape factor and combustion duration [29], [30]. In SI natural gas engines, the combustion is divided into three phases of flame development, propagation and termination, which have different combustion rates [31].…”

Section: Introductionmentioning

confidence: 99%

Hydrogen-natural gas combustion in a marine lean-burn SI engine: A comparitive analysis of Seiliger and double Wiebe function-based zero–dimensional modelling

Sapra

Godjevac²,

Vos

et al. 2020

Energy Conversion and Management

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Determination of specific heat ratio and error analysis for engine heat release calculations

Cited by 24 publications

References 32 publications

Comparison of the combustion, performance, and emission characteristics of inedible Crambe abyssinica biodiesel and edible hazelnut, corn, soybean, sunflower, and canola biodiesels

Comparison of the combustion, performance, and emission characteristics of inedible Crambe abyssinica biodiesel and edible hazelnut, corn, soybean, sunflower, and canola biodiesels

Evaluation of zero-dimensional stochastic reactor modelling for a Diesel engine application

Hydrogen-natural gas combustion in a marine lean-burn SI engine: A comparitive analysis of Seiliger and double Wiebe function-based zero–dimensional modelling

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