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Modeling the end-use performance of alternative fuels in light-duty vehicles

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  • Kroyan, Yuri
  • Wojcieszyk, Michal
  • Kaario, Ossi
  • Larmi, Martti
  • Zenger, Kai

Abstract

Present study investigates the end-use performance of alternative liquid fuels in the current fleet of unmodified light-duty vehicle (LDV) engines. Two mathematical models have been developed that represent the way that various fuel properties affect fuel consumption in spark-ignition (SI) and compression-ignition (CI) engines. Fuel consumption is represented by the results from the New European Driving Cycles (NEDC) in order to reflect the end-use impact. Data-driven black-box modeling and multilinear regression methods were applied to obtain both models. Additionally, quantitative analysis was performed to ensure the statistical significance of inputs (p-value below 5%). Fuel consumption (output) of various alternative fuels can be estimated with high accuracy (coefficient of determination above 0.96), knowing fuel properties (inputs) such as lower heating value, density, cetane/octane number, and oxygen content. The validation procedures confirmed the quality of predictions for both models with the average error being below 2.3%. The model performance for the examined fuels such as hydrotreated vegetable oil (HVO) and ethanol blends showed significant CO2 reduction with high accuracy. Moreover, both models could be used to estimate CO2 tailpipe emissions and are applicable to various liquid SI/CI fuels for LDV engines.

Suggested Citation

  • Kroyan, Yuri & Wojcieszyk, Michal & Kaario, Ossi & Larmi, Martti & Zenger, Kai, 2020. "Modeling the end-use performance of alternative fuels in light-duty vehicles," Energy, Elsevier, vol. 205(C).
    • Handle: RePEc:eee:energy:v:205:y:2020:i:c:s0360544220309610
    DOI: 10.1016/j.energy.2020.117854
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    1. Najafi, G. & Ghobadian, B. & Tavakoli, T. & Buttsworth, D.R. & Yusaf, T.F. & Faizollahnejad, M., 2009. "Performance and exhaust emissions of a gasoline engine with ethanol blended gasoline fuels using artificial neural network," Applied Energy, Elsevier, vol. 86(5), pages 630-639, May.
    2. Michael Ben-Chaim & Efraim Shmerling & Alon Kuperman, 2013. "Analytic Modeling of Vehicle Fuel Consumption," Energies, MDPI, vol. 6(1), pages 1-11, January.
    3. Li, Yangyang & Duan, Xiongbo & Fu, Jianqin & Liu, Jingping & Wang, Shuqian & Dong, Hao & Xie, Yunkun, 2019. "Development of a method for on-board measurement of instant engine torque and fuel consumption rate based on direct signal measurement and RGF modelling under vehicle transient operating conditions," Energy, Elsevier, vol. 189(C).
    4. Ghobadian, B. & Rahimi, H. & Nikbakht, A.M. & Najafi, G. & Yusaf, T.F., 2009. "Diesel engine performance and exhaust emission analysis using waste cooking biodiesel fuel with an artificial neural network," Renewable Energy, Elsevier, vol. 34(4), pages 976-982.
    5. Tanco, Martín & Aresti, Matías & Villalobos, Julio & Moratorio, Diego & Jurburg, Daniel & Holguin-Veras, Jose, 2019. "Assessment of the effectiveness of a fuel additive to reduce fuel consumption of HDVs highlights the importance of verification programs," Energy, Elsevier, vol. 189(C).
    6. Luin, B. & Petelin, S. & Al Mansour, F., 2017. "Modeling the impact of road network configuration on vehicle energy consumption," Energy, Elsevier, vol. 137(C), pages 260-271.
    7. Koç, Mustafa & Sekmen, Yakup & Topgül, Tolga & Yücesu, Hüseyin Serdar, 2009. "The effects of ethanol–unleaded gasoline blends on engine performance and exhaust emissions in a spark-ignition engine," Renewable Energy, Elsevier, vol. 34(10), pages 2101-2106.
    8. Wörz, Sascha & Bernhardt, Heinz, 2017. "A novel method for optimal fuel consumption estimation and planning for transportation systems," Energy, Elsevier, vol. 120(C), pages 565-572.
    9. Rakopoulos, Dimitrios C. & Rakopoulos, Constantine D. & Giakoumis, Evangelos G. & Papagiannakis, Roussos G. & Kyritsis, Dimitrios C., 2014. "Influence of properties of various common bio-fuels on the combustion and emission characteristics of high-speed DI (direct injection) diesel engine: Vegetable oil, bio-diesel, ethanol, n-butanol, die," Energy, Elsevier, vol. 73(C), pages 354-366.
    10. Mourad, M. & Mahmoud, Khaled R.M., 2018. "Performance investigation of passenger vehicle fueled by propanol/gasoline blend according to a city driving cycle," Energy, Elsevier, vol. 149(C), pages 741-749.
    11. Tsolakis, A. & Megaritis, A. & Wyszynski, M.L. & Theinnoi, K., 2007. "Engine performance and emissions of a diesel engine operating on diesel-RME (rapeseed methyl ester) blends with EGR (exhaust gas recirculation)," Energy, Elsevier, vol. 32(11), pages 2072-2080.
    12. Qian, Yong & Yu, Liang & Li, Zilong & Zhang, Yahui & Xu, Leilei & Zhou, Qiyan & Han, Dong & Lu, Xingcai, 2018. "A new methodology for diesel surrogate fuel formulation: Bridging fuel fundamental properties and real engine combustion characteristics," Energy, Elsevier, vol. 148(C), pages 424-447.
    13. Guang, Hao & Jin, Hui, 2019. "Fuel consumption model optimization based on transient correction," Energy, Elsevier, vol. 169(C), pages 508-514.
    14. Kropiwnicki, Jacek, 2019. "A unified approach to the analysis of electric energy and fuel consumption of cars in city traffic," Energy, Elsevier, vol. 182(C), pages 1045-1057.
    15. Singh, Devendra & Subramanian, K.A. & Bal, Rajaram & Singh, S.P. & Badola, R., 2018. "Combustion and emission characteristics of a light duty diesel engine fueled with hydro-processed renewable diesel," Energy, Elsevier, vol. 154(C), pages 498-507.
    16. Zhang, Shaojun & Wu, Ye & Un, Puikei & Fu, Lixin & Hao, Jiming, 2016. "Modeling real-world fuel consumption and carbon dioxide emissions with high resolution for light-duty passenger vehicles in a traffic populated city," Energy, Elsevier, vol. 113(C), pages 461-471.
    17. Elsanusi, Osama Ahmed & Roy, Murari Mohon & Sidhu, Manpreet Singh, 2017. "Experimental Investigation on a Diesel Engine Fueled by Diesel-Biodiesel Blends and their Emulsions at Various Engine Operating Conditions," Applied Energy, Elsevier, vol. 203(C), pages 582-593.
    18. Gogoi, T.K. & Baruah, D.C., 2010. "A cycle simulation model for predicting the performance of a diesel engine fuelled by diesel and biodiesel blends," Energy, Elsevier, vol. 35(3), pages 1317-1323.
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    3. Kim, Keunsoo & Lee, Wooyoung & Wiersema, Paxton & Mayhew, Eric & Temme, Jacob & Kweon, Chol-Bum M. & Lee, Tonghun, 2023. "Effects of the cetane number on chemical ignition delay," Energy, Elsevier, vol. 264(C).
    4. Kroyan, Yuri & Wojcieszyk, Michał & Kaario, Ossi & Larmi, Martti, 2022. "Modeling the impact of sustainable aviation fuel properties on end-use performance and emissions in aircraft jet engines," Energy, Elsevier, vol. 255(C).
    5. Gintaras Valeika & Jonas Matijošius & Krzysztof Górski & Alfredas Rimkus & Ruslans Smigins, 2021. "A Study of Energy and Environmental Parameters of a Diesel Engine Running on Hydrogenated Vegetable Oil (HVO) with Addition of Biobutanol and Castor Oil," Energies, MDPI, vol. 14(13), pages 1-29, July.
    6. Yangxun Liu & Weinan Liu & Huihong Liao & Wenhua Zhou & Cangsu Xu, 2021. "An Experimental and Kinetic Modelling Study on Laminar Premixed Flame Characteristics of Ethanol/Acetone Mixtures," Energies, MDPI, vol. 14(20), pages 1-18, October.

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