Innovative Calibration Method for System Level Simulation Models of Internal Combustion Engines

Prah, Ivo; Trenc, Ferdinand; Katrašnik, Tomaž

doi:10.3390/en9090708

Cited by 9 publications

(9 citation statements)

References 20 publications

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“…Other limitations regarding the accurate prediction of exhaust emissions, where accurate history of pressure, temperature and oxygen availability is required in each zone of the combustion chamber. Consequently, several two-zone models and multi-zone models have been developed [11].…”

Section: Multi-zone Modelsmentioning

confidence: 99%

Parametric Investigation on Single Cylinder Spark Ignition Engine Fueled Methanol Blends; Water-Based Micro Emulsions and Conventional Gasoline

Qadiri¹,

Pasha²,

Rahman³

et al. 2021

IJHT

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In this contribution, the investigation conducted on alternative fuels includes methanol 20% blended with gasoline 80% and emulsion-based fuel with the composition of gasoline 80%, ethanol 15%, and H2O 5% are compared with 100% conventional gasoline fuel. These fueled single-cylinders spark ignition engine is studied for checking their performance and emission characteristics as per future emission norms. This work is performed on One-dimensional AVL Boost Simulation Software. The simulations predicted the performance and emission characteristics were far lesser than conventional 100% gasoline. These fuels meet the strict emission regulations of Euro VII. The main purpose of this investigation is to use alternative fuels to improve the performance and emission characteristics of the single- cylinder spark ignition engine and reduce the consumption of fossil fuel reserves. This investigation led to the conclusion that by using methanol 20% in 80% gasoline and micro-emulsion, fuel improves the power, BSFC (brake specific fuel consumption), thermal efficiency and combustion properties of the single-cylinder spark-ignition engine. The CO, HC and NOx emissions were also reduced for alternative fuel than 100% gasoline fuel. The novel water-based emulsion fuel showed the lowest value of NOx emissions as compared to blended 20% methanol with 80% gasoline and 100% gasoline fuel.

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Section: Multi-zone Modelsmentioning

confidence: 99%

Parametric Investigation on Single Cylinder Spark Ignition Engine Fueled Methanol Blends; Water-Based Micro Emulsions and Conventional Gasoline

Qadiri¹,

Pasha²,

Rahman³

et al. 2021

IJHT

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“…The inclusion of heat transfer parameters as decision variables together with those of the combustion model is an important feature of this simulation method (Ayad et al 2021). For the simulation model to be realistic, the in-cylinder temperature was constrained according to empirical observations across a variety of engines (Prah et al 2016). An additional restriction was added to ensure that C A pp happens after C A 50 .…”

Section: Constraintsmentioning

confidence: 99%

Methods in S.I. Engine Modelling: Auto-calibration of Combustion and Heat Transfer Models, and Exergy Analysis

Ayad

Belchior

Sodré

2021

Energy, Environment, and Sustainability

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This chapter reports on a workflow aimed at obtaining deeper insights into spark ignition engines using thermodynamic modelling. This workflow is divided into two steps: (i) Auto-calibration of combustion and heat transfer models using AVL Boost ® and AVL Design Explorer; and (ii) in-cylinder exergy analysis using Wolfram Mathematica ® . Model calibration is usually based on experimental pressure curve and combustion data. However, there is a gap in methods that generate accurate simulation results, while calibrating the combustion and heat transfer models without prior experimental results. Thus, the authors proposed an approach in their earlier work to address this gap. In this chapter, this proposed approach has been complemented with exergy analysis to form a complete workflow for engine research using simulation. This workflow was applied to a 4-cylinder gasoline engine template model as a case study. First, the combustion and heat transfer models are parametrized and used as design variables of an optimization problem. The objective functions in this problem are the combustion phasing, here defined as the crank angle in which the peak cylinder pressure occurs CA pp , and the mechanical load, here defined as the indicated mean effective pressure IMEP. The appropriate temperature constraints were included to guarantee that the engine model was representative of the physical problem. The optimization problem is then solved for a target IMEP and CA pp and the results are analyzed. Afterwards, we begin the exergy analysis of the engine to obtain deeper insights. The resulting curves for the thermodynamic state properties and species' molar fraction are exported from the simulation software to a program in Wolfram Mathematica that does the exergy analysis of the engine, providing deeper insights into the useful work available in the engine, losses due to heat transfer, losses in the exhaust gases, and combustion irreversibilities. This analysis can be very useful in determining the best fuel mixture, operating conditions, and areas for improvement.

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“…This new approach has been shown to satisfy the required accuracy with reduced simulation times. In [29], a Hybrid Calibration Method (HCM) for internal combustion engine (ICE) simulation is proposed. This method consists of two steps.…”

Section: Introductionmentioning

confidence: 99%

Efficient simulation and auto-calibration of soot particle processes in Diesel engines

Akroyd

Mosbach

et al. 2020

Applied Energy

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Innovative Calibration Method for System Level Simulation Models of Internal Combustion Engines

Cited by 9 publications

References 20 publications

Parametric Investigation on Single Cylinder Spark Ignition Engine Fueled Methanol Blends; Water-Based Micro Emulsions and Conventional Gasoline

Parametric Investigation on Single Cylinder Spark Ignition Engine Fueled Methanol Blends; Water-Based Micro Emulsions and Conventional Gasoline

Methods in S.I. Engine Modelling: Auto-calibration of Combustion and Heat Transfer Models, and Exergy Analysis

Efficient simulation and auto-calibration of soot particle processes in Diesel engines

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