Simultaneous optimization of multiple engine parameters of a 1-heptanol / gasoline fuel blends operated a port-fuel injection spark-ignition engine using response surface methodology approach

Yaman, Hayri; Yeşilyurt, Murat Kadir; Uslu, Samet

doi:10.1016/j.energy.2021.122019

Cited by 20 publications

(9 citation statements)

References 52 publications

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“…Several research works evaluated the influence of a mass proportion of methanol/diesel mixtures. The HRR rose as the diffusive combustion duration was reduced based on the experimental outcomes. − …”

Section: Introductionmentioning

confidence: 99%

“…Sahin et al analyzed the influence of the butanol effect in a diesel engine. The study showed that changing the proportion of butanol and engine working environments affected engine efficiency, SFC, and pollutants. − ,− Imdadul et al showed that adding butanol to diesel enhanced the cylinder pressure (CP) and burning rate. HC emissions increased, but soot emissions dropped in terms of emissions.…”

Section: Introductionmentioning

confidence: 99%

“…It has a larger energy density and cetane number than other alcohols and superior miscibility, heating value, and mix stability with diesel fuel. Yaman et al studied the impact of n -pentanol on diesel fuel and found that it decreased PM emissions while slightly raising NO x emissions. According to another research, pentanol needs a lower intake temperature than gasoline and ethanol due to its greater HCCI reactivity .…”

Section: Introductionmentioning

confidence: 99%

“…Furthermore, n -hexanol (chain structure) created more soot than cyclohexanol in the EGR range of 30–66%. Because their conclusions were based on mixed fuels with 4% oxygen content, boiling point, viscosity, and aromatic content may have different effects on combustion and emissions for greater blended fractions. , …”

Section: Introductionmentioning

confidence: 99%

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Critical Review on Effects of Alcohols and Nanoadditives on Performance and Emission in Low-Temperature Combustion Engines: Advances and Perspectives

Babu¹,

Devarajan

Sathiyamoorthi³

et al. 2022

Energy Fuels

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This work reviews the numerous key parameters of each alcohol and their effect on CI engine characteristics. The second part of the review emphasizes the effect of nanoadditive addition on diesel and biodiesel owing to their physical and chemical features. A more detailed evaluation of the influence of nanoadditives on diesel engine behavior was done when diesel and biodiesel were doped at varying doses. According to the review, alcohols with a greater carbon concentration, such as butanol and pentanol, have superior miscibility and stability versus alcohols with lesser carbon elements. Additionally, the lower cooling impact and autoignition capability generated by high-alcohol concentrations would make this the optimum additive formulation for usage with diesel fuel. Nanoparticles have been added to fuels used in diesel engines to improve performance and reduce emissions in recent years. The utilization and preparation of fossil-based fuels increase environmental-related issues. Different nanomaterials assorted with fuels for compression ignition (CI) engines and their effects are reviewed in this work. Nanomaterials added to pure diesel and blends of diesel and biodiesel are considered for the study. The physiochemical properties of different fuels with nanoadditives are summarized. Performance characteristics such as brake-specific fuel consumption (BSFC), brake thermal efficiency (BTE), and exhaust gas temperature (EGT) are analyzed and compared for various fuel and nanoadditives combinations. Combustion characteristics and mass fraction burned are investigated. The values of various emissions from the engines fuelled with different combinations are examined. Among the various fuels and nanoadditives studied, 100 ppm TiO2 added diesel consumes the lowest BSFC of 0.3 kg/kWh. Hurdles faced in the current utilization of nanoadditives in diesel engines and the scope for future research are also highlighted.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Critical Review on Effects of Alcohols and Nanoadditives on Performance and Emission in Low-Temperature Combustion Engines: Advances and Perspectives

Babu¹,

Devarajan

Sathiyamoorthi³

et al. 2022

Energy Fuels

View full text Add to dashboard Cite

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“…However, the information processing system in ANN that simulates the biological human nervous system needs more experimental samples before it can be successfully modeled than RSM. Hence, RSM is thought to be a good choice in the optimization analysis [28][29][30][31].…”

Section: Introductionmentioning

confidence: 99%

Optimization and Analysis of CO2 Huff-n-Puff Process in Shale Oil Reservoirs Using Response Surface Methodology (RSM)

Wang

Xie

et al. 2022

Geofluids

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The objective of this study is to determine the influence of operational parameters of CO2 Huff-n-Puff EOR process in the Eagle Ford shale oil reservoirs using response surface methodology (RSM). Single-factor analysis was first conducted for establishing the Box-Behnken model in RSM. We selected the primary depletion time, gas injection time, cycle number, production time per cycle, and injection rate as the primary input variables using RSM. The cumulative oil production and net present value are optimized as the output factors. After that, Design of Expert 12 software was used to design the experimental table for the above setting factors. Corresponding to the results taken from the optimization, the most significant factor is injection rate, followed by injection time, cycle number, and primary depletion time, and production time per cycle is the least significant. Additionally, the optimum responses were found as primary depletion time of 2.37 years, injection time of 3.4 months, cycle number of 3, production time per cycle of 2.2 years, and injection rate of 5000 MSCF/D. Moreover, correlation coefficient (R2) of the regression model is 0.9977, and adjusted model R2 is 0.8898, which further indicates that the model has good reliability. Results show that RSM is a useful technique for optimization, and it also provides insights into optimizing and designing the CO2 Huff-n-Puff process in the shale oil reservoirs.

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Assessment of the fuel recovery potential of cattle, sheep, and chicken waste fats in diesel engine

Şimşek

Uslu

Şimşek

2022

Int. J. Environ. Sci. Technol.

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Simultaneous optimization of multiple engine parameters of a 1-heptanol / gasoline fuel blends operated a port-fuel injection spark-ignition engine using response surface methodology approach

Cited by 20 publications

References 52 publications

Critical Review on Effects of Alcohols and Nanoadditives on Performance and Emission in Low-Temperature Combustion Engines: Advances and Perspectives

Critical Review on Effects of Alcohols and Nanoadditives on Performance and Emission in Low-Temperature Combustion Engines: Advances and Perspectives

Optimization and Analysis of CO2 Huff-n-Puff Process in Shale Oil Reservoirs Using Response Surface Methodology (RSM)

Assessment of the fuel recovery potential of cattle, sheep, and chicken waste fats in diesel engine

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