The main objective of this project is quality improvement of Sudanese petrodiesel fuel by the use of furfural. The Gas Chromatography Mass Spectrometry GC/MS technique was performed to analyze organic compounds for ma...The main objective of this project is quality improvement of Sudanese petrodiesel fuel by the use of furfural. The Gas Chromatography Mass Spectrometry GC/MS technique was performed to analyze organic compounds for marked petrodiesel fuel before and after treatment by furfural, physicochemical characteristics of petrodiesel fuel were investigated before and after treatment according to American Society for Testing and Materials (ASTM), characteristics include: density, distillation, cloud point, viscosity, ash content, micro carbon residue, water content, flash point, colour, copper strip corrosion, sulfur content and calculated cetane number. Elements composition of petrodiesel sample has been determined by Inductively coupled plasma (ICP). The furfural showed high ability in extraction of aromatic, cyclo and branched hydrocarbons, a total of 81 organic compounds that exhibit a negative effect on quality of petrodiesel have been removed by furfural. All physicochemical characteristics of petrodiesel fuel were improved within permissible limits assigned by ASTM. The furfural has shown no effect on colour of Sudanese Petrodiesel, which cetane number has increased from 54.46 to 58.36. The concentration of Na, Mg, Ca, Fe, Al and As have been decreased after treatment by furfural, these results have led to decrease of ash content.展开更多
The quest for biofuel production and use in Botswana is driven by factors including volatile oil prices, need for fuel security, potential for job creation, potential reduction in greenhouse gas emissions, and economi...The quest for biofuel production and use in Botswana is driven by factors including volatile oil prices, need for fuel security, potential for job creation, potential reduction in greenhouse gas emissions, and economic diversification. In line with national efforts to come up with energy sources that are both environmentally friendly and sustainable, this work was carried out to compare performance properties of native crude marula (Sclerocarya birrea) seed oil and petrodiesel fuel on a variable compression engine test rig with automatic data acquisition set up. Parameters such as engine torque, brake power and specific fuel consumption were measured at different loads for the two fuels. The results indicate that engine performance when powered with crude marula oil compares favourable with those for petrodiesel. Optimum numerical values for engine torque, brake power and specific fuel consumption were 28.2 Nm, 6.27 W and 0.34 g/kWh respectively for petrodiesel, and 22.7 Nm, 6.6 W, 0.33 g/kWh respectively for crude marula oil. The engine performance was also analysed for same parameters, namely, engine torque, brake power and specific fuel consumption when powered using the same fuels over a range of compression ratios while the load was fixed at 80%. Optimum numerical values for engine torque, brake power and specific fuel consumption were 27.2 Nm, 3.67 W and 0.59 g/kWh respectively for petrodiesel, and 26.3 Nm, 3.6 W, 0.34 g/kWh respectively for crude marula oil. The results indicate that compression ratio of 16:1 yields optimum engine performance in terms of engine torque and brake power for both fuels under review. However, marula oil fuel recorded smooth steady increase in performance profile across all compression ratios which out-performs petrodiesel on lower compression ratios for engine torque and brake power, and is largely better than petrodiesel on fuel consumption.展开更多
In this work, we developed an analytical method based on UV-visible spectroscopy to determine the concentration of biodiesel from African palm in blends of petrodiesel. Seventy-five samples with biodiesel concentratio...In this work, we developed an analytical method based on UV-visible spectroscopy to determine the concentration of biodiesel from African palm in blends of petrodiesel. Seventy-five samples with biodiesel concentrations between 0-100 wt% were prepared. The spectral fingerprints that were obtained from the analysis of the samples by UV-visible spectroscopy were used to build predictive model using PLS regression. The predictive ability of the models was evaluated through statistical parameters: the standard error of calibration (SEC), the standard error of validation (SEV), the correlation coefficient of calibration (r Cal) and validation (r Val), the ratio (SEC/SEV), the coefficient of determination R2, the paired data Student’s t-test, cross-validation and external validation. The results indicate that the PLS model predicts the concentration of biodiesel from African palm with high precision in mixtures with petrodiesel. The method developed in this study can be applied to determine the concentration of biodiesel African palm in mixtures of petrodiesel in a more rapid and economical way. Moreover, this method has less analytical errors and is more environmentally friendly than the conventional methods.展开更多
The increasing use of petrodiesel-biodiesel fuel blends throughout the world requires fast, economic and efficient analytical techniques that can be used for the quality control of these fuels. In this work, we develo...The increasing use of petrodiesel-biodiesel fuel blends throughout the world requires fast, economic and efficient analytical techniques that can be used for the quality control of these fuels. In this work, we developed an analytical method for determining the concentration of African palm biodiesel in blends with petrodiesel;the method is based on infrared spectroscopy (FTIR-ATR). To build a prediction model, nineteen petrodiesel-biodiesel blends were prepared in triplicate with biodiesel concentrations for 0%-100% by weight. The blends were analyzed using Fourier transform infrared spectroscopy, the spectral fingerprint data were used to build a prediction model through PLS regression. The optimal number of principal components (PCs), the standard error of calibration (SEC), the standard validation error (SEV), the correlation coefficient of calibration (r Cal) and the validation correlation coefficient (r Val) were used to validate the predictive ability of the model. The results show that the model obtained in this work has a good ability for determining the concentration of African palm biodiesel in petrodiesel-biodiesel blends.展开更多
Melon seed oils were extracted at a very high yield of 52.2%. The extracted oil was subjected to oil quality tests and subsequently transesterified to give fatty acid methyl esters or biodiesel. The biodiesel was also...Melon seed oils were extracted at a very high yield of 52.2%. The extracted oil was subjected to oil quality tests and subsequently transesterified to give fatty acid methyl esters or biodiesel. The biodiesel was also subjected to fuel quality tests. The results showed that the extracted oil had specific gravity of 0.91 and moisture content of 0.90% indicating that the oil is a very good energy source, a good candidate for transesterification and will not be easily susceptible to microbial attack and autooxidation. The fuel quality parameters of the produced biodiesel showed that it conforms to standards for biodiesel and compares well with a standard petrodiesel.展开更多
文摘The main objective of this project is quality improvement of Sudanese petrodiesel fuel by the use of furfural. The Gas Chromatography Mass Spectrometry GC/MS technique was performed to analyze organic compounds for marked petrodiesel fuel before and after treatment by furfural, physicochemical characteristics of petrodiesel fuel were investigated before and after treatment according to American Society for Testing and Materials (ASTM), characteristics include: density, distillation, cloud point, viscosity, ash content, micro carbon residue, water content, flash point, colour, copper strip corrosion, sulfur content and calculated cetane number. Elements composition of petrodiesel sample has been determined by Inductively coupled plasma (ICP). The furfural showed high ability in extraction of aromatic, cyclo and branched hydrocarbons, a total of 81 organic compounds that exhibit a negative effect on quality of petrodiesel have been removed by furfural. All physicochemical characteristics of petrodiesel fuel were improved within permissible limits assigned by ASTM. The furfural has shown no effect on colour of Sudanese Petrodiesel, which cetane number has increased from 54.46 to 58.36. The concentration of Na, Mg, Ca, Fe, Al and As have been decreased after treatment by furfural, these results have led to decrease of ash content.
文摘The quest for biofuel production and use in Botswana is driven by factors including volatile oil prices, need for fuel security, potential for job creation, potential reduction in greenhouse gas emissions, and economic diversification. In line with national efforts to come up with energy sources that are both environmentally friendly and sustainable, this work was carried out to compare performance properties of native crude marula (Sclerocarya birrea) seed oil and petrodiesel fuel on a variable compression engine test rig with automatic data acquisition set up. Parameters such as engine torque, brake power and specific fuel consumption were measured at different loads for the two fuels. The results indicate that engine performance when powered with crude marula oil compares favourable with those for petrodiesel. Optimum numerical values for engine torque, brake power and specific fuel consumption were 28.2 Nm, 6.27 W and 0.34 g/kWh respectively for petrodiesel, and 22.7 Nm, 6.6 W, 0.33 g/kWh respectively for crude marula oil. The engine performance was also analysed for same parameters, namely, engine torque, brake power and specific fuel consumption when powered using the same fuels over a range of compression ratios while the load was fixed at 80%. Optimum numerical values for engine torque, brake power and specific fuel consumption were 27.2 Nm, 3.67 W and 0.59 g/kWh respectively for petrodiesel, and 26.3 Nm, 3.6 W, 0.34 g/kWh respectively for crude marula oil. The results indicate that compression ratio of 16:1 yields optimum engine performance in terms of engine torque and brake power for both fuels under review. However, marula oil fuel recorded smooth steady increase in performance profile across all compression ratios which out-performs petrodiesel on lower compression ratios for engine torque and brake power, and is largely better than petrodiesel on fuel consumption.
文摘In this work, we developed an analytical method based on UV-visible spectroscopy to determine the concentration of biodiesel from African palm in blends of petrodiesel. Seventy-five samples with biodiesel concentrations between 0-100 wt% were prepared. The spectral fingerprints that were obtained from the analysis of the samples by UV-visible spectroscopy were used to build predictive model using PLS regression. The predictive ability of the models was evaluated through statistical parameters: the standard error of calibration (SEC), the standard error of validation (SEV), the correlation coefficient of calibration (r Cal) and validation (r Val), the ratio (SEC/SEV), the coefficient of determination R2, the paired data Student’s t-test, cross-validation and external validation. The results indicate that the PLS model predicts the concentration of biodiesel from African palm with high precision in mixtures with petrodiesel. The method developed in this study can be applied to determine the concentration of biodiesel African palm in mixtures of petrodiesel in a more rapid and economical way. Moreover, this method has less analytical errors and is more environmentally friendly than the conventional methods.
文摘The increasing use of petrodiesel-biodiesel fuel blends throughout the world requires fast, economic and efficient analytical techniques that can be used for the quality control of these fuels. In this work, we developed an analytical method for determining the concentration of African palm biodiesel in blends with petrodiesel;the method is based on infrared spectroscopy (FTIR-ATR). To build a prediction model, nineteen petrodiesel-biodiesel blends were prepared in triplicate with biodiesel concentrations for 0%-100% by weight. The blends were analyzed using Fourier transform infrared spectroscopy, the spectral fingerprint data were used to build a prediction model through PLS regression. The optimal number of principal components (PCs), the standard error of calibration (SEC), the standard validation error (SEV), the correlation coefficient of calibration (r Cal) and the validation correlation coefficient (r Val) were used to validate the predictive ability of the model. The results show that the model obtained in this work has a good ability for determining the concentration of African palm biodiesel in petrodiesel-biodiesel blends.
文摘Melon seed oils were extracted at a very high yield of 52.2%. The extracted oil was subjected to oil quality tests and subsequently transesterified to give fatty acid methyl esters or biodiesel. The biodiesel was also subjected to fuel quality tests. The results showed that the extracted oil had specific gravity of 0.91 and moisture content of 0.90% indicating that the oil is a very good energy source, a good candidate for transesterification and will not be easily susceptible to microbial attack and autooxidation. The fuel quality parameters of the produced biodiesel showed that it conforms to standards for biodiesel and compares well with a standard petrodiesel.
