Abstracts Book - IMRC 2018

• SC3-P001
DYNAMIC MODEL FOR THE LARGE-SCALE MIXOTROPHIC
CULTURE OF MICROALGAE AND BACTERIA IN A THIN-LAYER
PHOTO-BIOREACTOR
Alina Juantorena Ugas 1 , Orlando Ginés Alfaro Vives 2 , Roger Ammer Proenza Yero 2 , Carolin
Ivette Rocabruno Valdés 3 , Emilio Arenas Guerrero 4 , Carlos Alberto Rodríguez Proenza 5
1
Universidad Autónoma del Estado de Morelos, Facultad de Ciencias Agropecuarias/ETL,
Mexico. 2 Centro de Investigaciones de Energía Solar, Biotecnología Solar, Cuba. 3 Universidad
Autónoma del Estado de Morelos, Centro de Investigación en Ingeniería y Ciencias Aplicadas.,
Mexico. 4 Universidad Nacional Autónoma de México, Instituto de Investigaciones en
Ecosistemas y Sustentabilidad, Mexico. 5 Universidad Nacional Autónoma de México, Centro de
Fisica Aplicada y Tecnologia Avanzada, Mexico.
The microalgae culture is of great interest an economic point of view. In this sense,
the biomass obtained microalgae can be used in biomedical industry, for producing
antiseptics, protein-vitamin supplements and biofuels such as biohydrogen,
bioethanol, biodiesel, which are very useful in protecting the environment, thus
contributing to the reduction of and other pollutants emissions, and for
wastewater treatment [1]. This paper shows a dynamical model that describes the
symbiotic growth of bacteria and the microalgae species Chlorella vulgaris in an
open-air thin-layer photo-bioreactor of , which is very useful for the treatment of
porcine liquid waste. The model uses a novel procedure to estimate the pH value
and proposes a new kinetic equation for the growth of microalgae [2]. The software
R2009b [3], developed in MATLAB, was used to design a model that allowed us to
estimate the temperature of the culture suspension as well as the variation of
process parameters such as the concentration of algae and bacteria, and the
organic matter concentration in terms of the biochemical oxygen demand, pH,
dissolved oxygen concentration, dissolved carbon dioxide concentration,
concentration of dissolved ammonia nitrogen and dissolved orthophosphates. The
existing correlation between the experimental data of the process parameters and
the data obtained the software is proved, with an error below 10%. In addition, the
productivity per unit of culture area was also calculated with the software and then
compared to the actual data obtaining a maximum error of ± 4%.
Acknowledgment: To CONACYT, for the financing granted in the postgraduate
course of the Research Center in Engineering and Applied Sciences, UAEM.
Keywords: Chlorella vulgaris, thin layer photo-bioreactor, dynamic model
Presenting authors email: carolinroca11@gmail.com