Person:
Arzamendi Manterola, María Cruz

Loading...
Profile Picture

Email Address

Birth Date

Research Projects

Organizational Units

Job Title

Last Name

Arzamendi Manterola

First Name

María Cruz

person.page.departamento

Química Aplicada

ORCID

0000-0002-6276-8029

person.page.upna

313

Name

Search Results

Now showing 1 - 1 of 1
  • PublicationOpen Access
    Pseudo-homogeneous and heterogeneous kinetic models of the NaOH-catalyzed methanolysis reaction for biodiesel production
    (MDPI, 2021) Zabala, Silvia; Reyero Zaragoza, Inés; Campo Aranguren, Idoia; Arzamendi Manterola, María Cruz; Gandía Pascual, Luis; Zientziak; Institute for Advanced Materials and Mathematics - INAMAT2; Ciencias; Universidad Pública de Navarra / Nafarroako Unibertsitate Publikoa
    Methanolysis of vegetable oils in the presence of homogeneous catalysts remains the most important process for producing biodiesel. However, there is still a lack of accurate description of the reaction kinetics. This is in part due to the complexity of the reacting system in which a large number of interconnected reactions take place simultaneously. In this work, attention is focused on the biphasic character of the reaction medium, formed by two immiscible liquid phases. The behavior of the phases is investigated regarding their physicochemical properties, mainly density and mutual solubility of the components, as well as composition. In addition, two kinetic models with different level of complexity regarding the biphasic character of the reaction medium have been developed. It has been found that a heterogeneous model considering the presence of the two phases and the distribution of the several compounds between them is indispensable to get a good description of the process in terms of oil conversion and products yields. The model captures the effects of the main variables of an isothermal batch methanolysis process: methanol/oil molar ratio, reaction time and catalyst concentration. Nevertheless, some adjustment is still required as concerns modelling of the saponification reactions and catalyst deactivation.