Modeling the impact of fuel properties on spark ignition engine performance

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master_Kroyan_Yuri_2018.pdf (14.68 MB)

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Insinööritieteiden korkeakoulu | Master's thesis
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Date

2018-05-14

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ENG215

Degree programme

Nordic Master Programme in Innovative and Sustainable Energy Engineering (ISEE)

Language

en

Pages

85+7

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Abstract

Even today transport sector is heavily dependent on fossil fuels, contributing at the same time to significant part of global greenhouse gases emission. Advanced transport drop-in fuels based on renewable feedstock are the most effective way of decreasing the environmental impact of the entire sector. This work is a part of ADVANCEFUEL EU project which is aiming at the promotion of renewable transport fuels by providing new knowledge, tools, standards, and recommendations to minimize the most significant barriers towards commercialization. The main goal of this thesis is modeling the impact of fuel properties on spark ignition (SI) engine performance and carbon dioxide emissions. The results include models (based on multi-linear regression) that represent the impact of octane number, heat of vaporization, net calorific value and auto-ignition temperature on fuel consumption and carbon dioxide emissions from the end-use point of view. Modeling work was performed based on results from the driving cycles such as New European Driving Cycle (NEDC) and Worldwide harmonized Light vehicles Test Cycle (WLTC), where both input and output parameters are represented by percentage changes relative to standard gasoline fuel. Using alcohol-gasoline blends yielded higher fuel consumption in all cases. The model’s prediction accuracy is very high and the values are close to measured ones (average absolute error 1,22%). Based on chosen sources, the highest fuel consumption was observed for E85 fuel blend. In that case model predicts 46,89% change of fuel consumption compared to standard gasoline. The prediction of carbon dioxide emissions is based on outcomes of fuel consumption model. Supplementarily, fuel blend property calculator was created in order to predict alcohol-gasoline fuel blend properties.

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Supervisor

Larmi, Martti

Thesis advisor

Kaario, Ossi

Keywords

model development and system identification, alternative fuels, fuel blend properties, SI engine performance, fuel consumption, CO2 emissions

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https://urn.fi/URN:NBN:fi:aalto-201806013023

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