Response surface methodology (RSM) for optimizing engine performance and emissions fueled with biofuel: Review of RSM for sustainability energy transition

Veza, Ibham; Spraggon, Martin; Fattah, I.M. Rizwanul; Idris, Muhammad Asri

doi:10.1016/j.rineng.2023.101213

Cited by 125 publications

(28 citation statements)

References 89 publications

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“…The objective of the response surface methodology (RSM), a set of mathematical and statistical techniques, is to build analytical models [84] . Finding the optimal values for a group of independent variables that will produce the desired response and input parameters is a more significant factor for the experimental design.…”

Section: Resultsmentioning

confidence: 99%

“Enhancing Fruit Preservation: Fungal Growth Inhibition with Grape Seed‐Mediated Ag@AgCl Nanoparticles through Desirability‐Based Optimization”

Prakash,

Rajeshkumar,

Khan

et al. 2024

ChemistrySelect

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Biological processes were used to create Ag@AgCl nanoparticles in an eco‐friendly manner. Grape seed extracts were used to create Ag@AgCl nanoparticles for this study. The antifungal activity of nanoparticles was tested using fruit‐rotting fungi. UV‐Vis spectrophotometry was used to analyze the nanoparticles to determine the extent of surface plasmon resonance (SPR) band formation. The phytochemicals employed in nanoparticle synthesis were studied using Fourier transform infrared spectroscopy (FT‐IR). X‐ray diffraction (XRD) studies revealed that the Ag@AgCl nanoparticles were crystalline. Field‐emission scanning electron microscopy (FE‐SEM) was used to determine the morphological structure of the nanoparticles. FE‐SEM images determined the average particle size of Ag@AgCl. Energy‐dispersive X‐ray spectroscopy (EDAX was used to examine the elemental composition. Transmission electron microscopy (TEM) and atomic force microscopy (AFM) were employed. Fungi that cause fruit deterioration have been isolated from bananas and papaya fruits. The Ag@AgCl nanoparticles were evaluated for fungal activity against Rhizopus stolonifer, Alternaria species, Aspergillus niger, Aspergillus fumigatus, and Fusarium oxosporum. An agar‐well diffusion study indicated that these nanoparticles had good antifungal sensitivity against fungal infections. However, this study was adequate to allow the inhibitory activity to proceed to the optimization phase, where we dealt with RSM‐based desirability function prediction. The results also demonstrate that the model performs well, implying that it can provide an accurate estimate of output. usingthe impact,the desirability of each factorzoneson

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Section: Resultsmentioning

confidence: 99%

“Enhancing Fruit Preservation: Fungal Growth Inhibition with Grape Seed‐Mediated Ag@AgCl Nanoparticles through Desirability‐Based Optimization”

Prakash,

Rajeshkumar,

Khan

et al. 2024

ChemistrySelect

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“…In general, it is observed that engine performance is higher for all diesel-biodiesel-ethanol blends with graphene nanopowder compared to D100 fuel (see Figure 9). This increase and improvement in engine performance can be attributed to the presence of oxygen in the molecular structure of biodiesel and ethanol fuels compared to diesel fuel (D100) (Veza et al, 2023;Veza et al, 2022;Jahanbakhshi et al, 2021).…”

Section: Engine Powermentioning

confidence: 99%

Evaluation of emissions and performance of a diesel engine running on graphene nanopowder and diesel-biodiesel-ethanol blends

Noorollahi,

-Ardeh,

Jahanbakhshi

et al. 2024

Preprint

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Today, there are environmental problems all over the world due to the emission of greenhouse gasses caused by the combustion of diesel fuel. The excessive consumption and drastic reduction of fossil fuels have prompted the leaders of various countries, including Iran, to put the use of alternative and clean energy sources on the agenda. In recent years, the use of biofuels and the addition of nanoparticles to diesel fuel have reduced pollutant emissions, improved the environment and enhanced the physicochemical properties of the fuel. The current research deals with the experimental evaluation of emissions and performance of a diesel engine running on graphene nanopowder together with diesel-biodiesel-ethanol blends. The engine variables studied included the engine speed (in three stages: 1800, 2200 and 2600 rpm) and three types of fuel including graphene nanoparticles (with values of 25 and 50 ppm), biodiesel (with volume percentages of 4, 6 and 8) and ethanol (with volume percentages of 2 and 4). The results showed that the power and torque of the D86 + B8 + E6 + G50 fuel increased on average by 20.26% and 28.76% at all engine speeds compared to the D100 fuel. The use of D86 + B8 + E6 + G50 fuel resulted in a significant reduction in CO (38.84%), UHC (21.24%) and NOx (19.92%) emissions compared to D100 fuel. In addition, a significant increase in CO2 emissions (23.19%) was observed. The results of this study clearly show that the use of biofuels and the addition of nanopowder to D100 fuel is a very effective method to improve combustion, performance and emission characteristics in diesel engines.

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“…This approach proves invaluable in the identification of optimal conditions that yield improved properties of nanoparticles for the purpose of dye degradation. 34…”

Section: Introductionmentioning

confidence: 99%

Response surface methodology: a powerful tool for optimizing the synthesis of metal sulfide nanoparticles for dye degradation

Sandhu,

Raza,

Farwa

et al. 2023

Mater. Adv.

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Response surface methodology (RSM) for optimizing engine performance and emissions fueled with biofuel: Review of RSM for sustainability energy transition

Cited by 125 publications

References 89 publications

“Enhancing Fruit Preservation: Fungal Growth Inhibition with Grape Seed‐Mediated Ag@AgCl Nanoparticles through Desirability‐Based Optimization”

“Enhancing Fruit Preservation: Fungal Growth Inhibition with Grape Seed‐Mediated Ag@AgCl Nanoparticles through Desirability‐Based Optimization”

Evaluation of emissions and performance of a diesel engine running on graphene nanopowder and diesel-biodiesel-ethanol blends

Response surface methodology: a powerful tool for optimizing the synthesis of metal sulfide nanoparticles for dye degradation

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