Victor Alfonsin - Academia.edu (original) (raw)
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Papers by Victor Alfonsin
Environmental Progress & Sustainable Energy, 2016
The use of microalgal lipids for liquid fuels production is an emerging alternative. Before extra... more The use of microalgal lipids for liquid fuels production is an emerging alternative. Before extracting lipids from microalgae, some important stages are necessary such as: microalgae dewatering and lipids extraction. The cultivation of microalgae is made in a great amount of water, then it is necessary the use of water removal techniques before the lipids extraction. Furthermore, lipids extraction techniques must be tuned up in order to achieve a better separation depending on the type of technique and the solvent. The purpose of the present study is to compare two different microalgae harvesting techniques and two methods for the total lipids extraction of Pavlova–Lutheri microalgae. The studied harvesting techniques for microalgae recovery were: flocculation–coagulation (99.8% efficiency) and electrocoagulation (97.4% efficiency). Two extraction methods were also studied with different solvents: Soxhlet and ultrasound. It was observed that, the use of ultrasound irradiation for lipids extraction improves the extraction efficiency. In ultrasound extraction, the highest percentage (47.20%) was reached with a mixture of chloroform and methanol 1:2 as extraction solvent. © 2016 American Institute of Chemical Engineers Environ Prog, 35: 1842–1847, 2016
INTED2021 Proceedings, 2021
International Journal of Environmental Research
Chemical Engineering & Technology
This paper analyses the production of biodiesel by ultrasound-assisted transesterification of was... more This paper analyses the production of biodiesel by ultrasound-assisted transesterification of waste frying oil. The reaction was carried out with methanol and sodium hydroxide was used as a catalyst. The reaction was carried out at methanol to oil molar ratio of 6:1, catalyst concentration as 0.5 wt.%, a range of temperature from 30–50 °C and reaction time from 30–90 min. Produced biodiesel by this method was analysed for fatty acid methyl esters composition, density, moisture and volatile matter content, acid value, saponification value, iodine value, distillation curves and cetane number.
DYNA, 2015
This paper describes a vehicle simulation toolbox developed under Matlab® environment, which can ... more This paper describes a vehicle simulation toolbox developed under Matlab® environment, which can be used to estimate the range of a vehicle battery, or a fuel cell/battery hybrid system. The model is function of mechanical and physical variables that depend not only on the vehicle but also on the ground. This toolbox can be extended to GPS tracking files by means of reading data file plug-ins. Even standard drive cycles can be simulated. Battery and hydrogen consumption, hydrogen storage tank level, battery state of charge, power consumption and fuel cell energy production, maximum range and maximum number of cycles for a real route can be determined. The model facilitates the prediction of the vehicle range and the hydrogen and energy consumption. Real route simulation gives a good approximation of the vehicle speed close to real-life services instead of using driving cycles that are quite arbitrary approximations to a real route.
INTED2016 Proceedings, 2016
International Journal of Environmental Research
Environmental Progress & Sustainable Energy
Energy Sources, Part A: Recovery, Utilization, and Environmental Effects, 2016
Energy Sources, Part A: Recovery, Utilization, and Environmental Effects, 2016
2014 International Renewable and Sustainable Energy Conference, Oct 17, 2014
European Journal of Sustainable Development, 2015
European Journal of Sustainable Development, 2015
European Journal of Sustainable Development, 2015
Journal of Power Sources, 2015
ABSTRACT This paper describes the mathematical parametrization of an electrodynamical battery mod... more ABSTRACT This paper describes the mathematical parametrization of an electrodynamical battery model using different model selection criteria. A good modeling technique is needed by the battery management units in order to increase battery lifetime. The elements of battery models can be mathematically parametrized to enhance their implementation in simulation environments. In this work, the best mathematical parametrizations are selected using three model selection criteria: the coefficient of determination ( ), the Akaike Information Criterion ( ) and the Bayes Information Criterion ( ). The criterion only takes into account the error of the mathematical parametrizations, whereas and consider complexity. A commercial 40 Ah lithium iron phosphate ( ) battery is modeled and then simulated for contrasting. The OpenModelica open-source modeling and simulation environment is used for doing the battery simulations. The mean percent error of the simulations is 0.0985% for the models parametrized with , 0.2300% for the ones, and 0.3756% for the ones. As expected, the selected the most precise, complex and slowest mathematical parametrizations. The criterion chose parametrizations with similar accuracy, but simpler and faster than the ones.
2014 International Renewable and Sustainable Energy Conference (IRSEC), 2014
Environmental Progress & Sustainable Energy, 2016
The use of microalgal lipids for liquid fuels production is an emerging alternative. Before extra... more The use of microalgal lipids for liquid fuels production is an emerging alternative. Before extracting lipids from microalgae, some important stages are necessary such as: microalgae dewatering and lipids extraction. The cultivation of microalgae is made in a great amount of water, then it is necessary the use of water removal techniques before the lipids extraction. Furthermore, lipids extraction techniques must be tuned up in order to achieve a better separation depending on the type of technique and the solvent. The purpose of the present study is to compare two different microalgae harvesting techniques and two methods for the total lipids extraction of Pavlova–Lutheri microalgae. The studied harvesting techniques for microalgae recovery were: flocculation–coagulation (99.8% efficiency) and electrocoagulation (97.4% efficiency). Two extraction methods were also studied with different solvents: Soxhlet and ultrasound. It was observed that, the use of ultrasound irradiation for lipids extraction improves the extraction efficiency. In ultrasound extraction, the highest percentage (47.20%) was reached with a mixture of chloroform and methanol 1:2 as extraction solvent. © 2016 American Institute of Chemical Engineers Environ Prog, 35: 1842–1847, 2016
INTED2021 Proceedings, 2021
International Journal of Environmental Research
Chemical Engineering & Technology
This paper analyses the production of biodiesel by ultrasound-assisted transesterification of was... more This paper analyses the production of biodiesel by ultrasound-assisted transesterification of waste frying oil. The reaction was carried out with methanol and sodium hydroxide was used as a catalyst. The reaction was carried out at methanol to oil molar ratio of 6:1, catalyst concentration as 0.5 wt.%, a range of temperature from 30–50 °C and reaction time from 30–90 min. Produced biodiesel by this method was analysed for fatty acid methyl esters composition, density, moisture and volatile matter content, acid value, saponification value, iodine value, distillation curves and cetane number.
DYNA, 2015
This paper describes a vehicle simulation toolbox developed under Matlab® environment, which can ... more This paper describes a vehicle simulation toolbox developed under Matlab® environment, which can be used to estimate the range of a vehicle battery, or a fuel cell/battery hybrid system. The model is function of mechanical and physical variables that depend not only on the vehicle but also on the ground. This toolbox can be extended to GPS tracking files by means of reading data file plug-ins. Even standard drive cycles can be simulated. Battery and hydrogen consumption, hydrogen storage tank level, battery state of charge, power consumption and fuel cell energy production, maximum range and maximum number of cycles for a real route can be determined. The model facilitates the prediction of the vehicle range and the hydrogen and energy consumption. Real route simulation gives a good approximation of the vehicle speed close to real-life services instead of using driving cycles that are quite arbitrary approximations to a real route.
INTED2016 Proceedings, 2016
International Journal of Environmental Research
Environmental Progress & Sustainable Energy
Energy Sources, Part A: Recovery, Utilization, and Environmental Effects, 2016
Energy Sources, Part A: Recovery, Utilization, and Environmental Effects, 2016
2014 International Renewable and Sustainable Energy Conference, Oct 17, 2014
European Journal of Sustainable Development, 2015
European Journal of Sustainable Development, 2015
European Journal of Sustainable Development, 2015
Journal of Power Sources, 2015
ABSTRACT This paper describes the mathematical parametrization of an electrodynamical battery mod... more ABSTRACT This paper describes the mathematical parametrization of an electrodynamical battery model using different model selection criteria. A good modeling technique is needed by the battery management units in order to increase battery lifetime. The elements of battery models can be mathematically parametrized to enhance their implementation in simulation environments. In this work, the best mathematical parametrizations are selected using three model selection criteria: the coefficient of determination ( ), the Akaike Information Criterion ( ) and the Bayes Information Criterion ( ). The criterion only takes into account the error of the mathematical parametrizations, whereas and consider complexity. A commercial 40 Ah lithium iron phosphate ( ) battery is modeled and then simulated for contrasting. The OpenModelica open-source modeling and simulation environment is used for doing the battery simulations. The mean percent error of the simulations is 0.0985% for the models parametrized with , 0.2300% for the ones, and 0.3756% for the ones. As expected, the selected the most precise, complex and slowest mathematical parametrizations. The criterion chose parametrizations with similar accuracy, but simpler and faster than the ones.
2014 International Renewable and Sustainable Energy Conference (IRSEC), 2014