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

Kroyan, Yuri; Wojcieszyk, Michał; Kaario, Ossi; Larmi, Martti; Zenger, Kai

doi:10.1016/j.energy.2020.117854

Cited by 17 publications

(10 citation statements)

References 40 publications

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“…The changes in BSFC compared to base gasoline could be explained by differences in LHV. However, all studied blends overperformed based on LHV prediction, which could be attributed to other important fuel properties such as oxygen content, RON, and density, as demonstrated in a previous study [62]. When looking at engine efficiency, the BTE increased from 13.6% up to 24.4% while shifting the engine operation from low to high loads for base gasoline.…”

Section: Resultssupporting

confidence: 58%

“…Ternary blends composed of base gasoline, anisole, and isobutanol with a volumetric concentration of renewable compounds up to 40% were analyzed. The modeling methodology demonstrated by Kroyan et al [62] showed that fuel consumption over the driving cycle could be simulated with high accuracy, using a significant set of fuel properties. Properties of ternary blends were estimated based on the interpolation of values related to neat components characterized in Table 4.…”

Section: Modeling Performance Of Ternary Blends In Ffvmentioning

confidence: 99%

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Performance of Anisole and Isobutanol as Gasoline Bio-Blendstocks for Spark Ignition Engines

et al. 2021

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Several countries have set ambitious targets for the transport sector that mandate a gradual increase in advanced biofuel content in the coming years. The current work addresses this transition and indicates two promising gasoline bio-blendstocks: Anisole and isobutanol. The whole value chains of these bio-components were considered, focusing on end-use performance, but also analyzing feedstock and its conversion, well-to wheel (WTW) greenhouse gas (GHG) emissions and costs. Three alternative fuels, namely a ternary blend (15% anisole, 15% isobutanol, 70% fossil gasoline on an energy basis) and two binary blends (15% anisole with fossil gasoline and 30% isobutanol with fossil gasoline), were tested, focusing on their drop-in applicability in spark ignition (SI) engines. The formulated liquid fuels performed well and showed the potential to increase brake thermal efficiency (BTE) by 1.4% on average. Measured unburned hydrocarbons (HC) and carbon monoxide (CO) emissions were increased on average by 12–29% and 17–51%, respectively. However, HC and CO concentrations and exhaust temperatures were at acceptable levels for proper catalyst operation. The studied blends were estimated to bring 11–22% of WTW GHG emission reductions compared to base gasoline. Additionally, the fleet performance and benefits of flexi-fuel vehicles (FFV) were modeled for ternary blends.

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Section: Resultssupporting

confidence: 58%

Section: Modeling Performance Of Ternary Blends In Ffvmentioning

confidence: 99%

Performance of Anisole and Isobutanol as Gasoline Bio-Blendstocks for Spark Ignition Engines

et al. 2021

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“…Indicators such as ash content, ash-melting temperature, nitrogen content and chlorine content inform lignocellulosic biomass feedstock suitability for conversion processes [64] and can measure transparency and quality across the value chain. With regards to transport and conversion practices and their limited impact on quality and transparency, additional indicators or standardisation policies can help measure sustainability [6,65], including fuel which can be analysed through technical compatibility with engine technologies used in various transport sectors based on their property characteristics [66].…”

Section: Discussionmentioning

confidence: 99%

Advanced Biofuel Value Chains through System Dynamics Modelling and Competitive Priorities

Christensen

Panoutsou

2022

Energies

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The greatest challenge in accelerating the realisation of a sustainable and competitive bioeconomy is to demonstrate that enshrining sustainability principles at the very heart of a production line can generate value and improve its overall system. Strategies for reducing emissions, pollutants, indirect land use change or soil depreciation are all perceived as costs or necessary inconveniences to comply with stringent, climate change-focused policy frameworks. System dynamics modelling and competitive priorities are tools that can accurately and intelligently expand on the cross-value chain approach, which integrates both technical and environmental performances, to address the issue of harmonising sustainability and technical operations as one overall dimension of performance. A stock-and-flow model is developed to map a full biofuel value chain and quantitatively and coherently integrate factors of emissions, carbon, land, production, and technology. As such, environmental and operational impacts of innovative practices are measured, and subsequently linked to a qualitative framework of competitive priorities, as defined by transparency, quality, innovation and flexibility. Sustainability and productivity functions are found to reinforce each other when all competitive priorities are optimised. Equally, the framework provides a clear understanding of trade-offs engendered by value chain interventions. Advantages and limitations in the accessibility, scope and transferability of the multi-pronged analytical approach are discussed.

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“…Such fuels differ in their chemical composition when compared to standard fossil EN-228 gasoline, which in consequence affects also fuel properties [67,68]. Different fuel properties translate into variations in fuel consumption [69], which for the standard fleet of spark-ignition and compression ignition engines was modeled by Y. Kroyan, et al [70]. A similar methodology was applied by M. Wojcieszyk et al in the development of the FC model for marine engines [71].…”

Section: Current Fuel Consumption Models For Light-duty Vehiclesmentioning

confidence: 99%

Modelling the end-use performance of alternative fuel properties in flex-fuel vehicles

Kroyan

Wojcieszyk

Kaario

et al. 2022

Energy Conversion and Management

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

Cited by 17 publications

References 40 publications

Performance of Anisole and Isobutanol as Gasoline Bio-Blendstocks for Spark Ignition Engines

Performance of Anisole and Isobutanol as Gasoline Bio-Blendstocks for Spark Ignition Engines

Advanced Biofuel Value Chains through System Dynamics Modelling and Competitive Priorities

Modelling the end-use performance of alternative fuel properties in flex-fuel vehicles

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