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Research Article

Novel thermal conductivity-mixing ratio-temperature mathematic model for forecasting the thermal conductivity of biodiesel-diesel-ethanol blended fuel

ORCID Icon, , , , , & show all
Pages 8235-8246 | Received 22 Mar 2022, Accepted 24 Aug 2022, Published online: 07 Sep 2022
 

ABSTRACT

To explore the thermal conductivity of diesel-biodiesel-ethanol blended fuel under different temperatures and mixing ratios, three ternary blended fuels, namely, Jatropha/soybean/catering waste oil biodiesel-diesel-ethanol, were prepared. The three biodiesel components were analyzed using gas chromatography-mass spectrometry. A Hot Disk 2500S thermal constant analyzer was used to measure the thermal conductivity of the blended fuels in the temperature range of 20–60°C. Thermal conductivities of the three blended fuels increased with increase in temperature, and the three blended fuels had different thermal conductivities at the same temperature and mixing ratio. This may be attributed to the different contents of unsaturated fatty acid methyl esters in the blended fuels. The optimal mixing ratio was determined to be 80% diesel, 15% biodiesel, and 5% ethanol. Further, a thermal conductivity (λ) forecasting model related to temperature (t) and mixing ratio (w) was established based on experimental results, and its accuracy was evaluated using correlation coefficients and the average absolute percentage error. The value of the correlation coefficient reached 0.9700 for all three blended fuels, and the value of the average absolute percentage error was 0.2738, 0.2823, and 0.8596%, respectively. Thus, the variation of fuel thermal conductivity with temperature and mixing ratio could be accurately predicted. The findings of this study provide insights for designing thermophysical parameters of biodiesel.

Abbreviations

APE=

Absolute percentage error

CBED=

Catering waste oil biodiesel-diesel-ethanol blended fuel

D90B05E05=

90% diesel, 5% biodiesel and 5% ethanol

D85B10E05=

85% diesel, 10% biodiesel and 5% ethanol

D80B15E05=

80% diesel, 15% biodiesel and 5% ethanol

D75B20E05=

75% diesel, 20% biodiesel and 5% ethanol

D65B25E10=

65% diesel, 25% biodiesel and 10% ethanol

GC-MS=

Gas chromatography-mass spectrometry

JBD=

Jatropha oil biodiesel

JBED=

Jatropha biodiesel-diesel-ethanol blended fuel

SBD=

Soybean oil biodiesel

SD=

Standard Deviation

R2=

The correlation coefficient

CBD=

Catering waste oil biodiesel

D70B25E05=

70% diesel, 25% biodiesel and 5% ethanol

D65B30E05=

65% diesel, 30% biodiesel and 5% ethanol

D85B05E10=

85% diesel, 5% biodiesel and 10% ethanol

D80B10E10=

80% diesel, 10% biodiesel and 10% ethanol

D75B15E10=

75% diesel, 15% biodiesel and 10% ethanol

D70B20E10=

70% diesel, 20% biodiesel and 10% ethanol

D60B30E10=

60% diesel, 30% biodiesel and 10% ethanol

MAPE=

Average absolute percentage error

MD=

Maximum absolute percentage error

SBED=

Soybean biodiesel-diesel-ethanol blended fuel

RMESP=

Root-Mean-Square Error of Prediction

Disclosure statement

No potential conflict of interest was reported by the author(s).

Data availability statement

The data that support the findings of this study are available from the corresponding author upon reasonable request.

Supplementary material

Supplemental data for this article can be accessed online at https://doi.org/10.1080/15567036.2022.2120117

Additional information

Funding

This work was supported by the National Natural Science Foundation of China [grant numbers: 52166013]; Yunnan Fundamental Research Projects [grant numbers: 202101AS070115]; National Natural Science Foundation of China-Yunnan Joint Fund (CN) [grant numbers: U1602272].

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