Sensitivity, Equilibria, and Lyapunov Stability Analysis in Droop's Nonlinear Differential Equation System for Batch Operation Mode of Microalgae Culture Systems

被引:5
作者
Guzman-Palomino, Abraham [1 ]
Aguilera-Vazquez, Luciano [1 ]
Hernandez-Escoto, Hector [2 ]
Garcia-Vite, Pedro Martin [1 ]
机构
[1] Inst Tecnol Ciudad Madero, Tecnol Nacl Mexico, Ave 10 Mayo Esq Sor Juana Ines de la Cruz S-N Col, Ciudad Madero 89440, Mexico
[2] Univ Guanajuato, Dept Ingn Quim, Guanajuato 36000, Mexico
关键词
renewable energies; microalgae-batch culture; stability; sensitivity; Droop model; STEADY-STATE; GROWTH; CULTIVATION; ATTRACTIVENESS; PHYTOPLANKTON; CHEMOSTAT; DESIGN;
D O I
10.3390/math9182192
中图分类号
O1 [数学];
学科分类号
0701 ; 070101 ;
摘要
Microalgae-based biomass has been extensively studied because of its potential to produce several important biochemicals, such as lipids, proteins, carbohydrates, and pigments, for the manufacturing of value-added products, such as vitamins, bioactive compounds, and antioxidants, as well as for its applications in carbon dioxide sequestration, amongst others. There is also increasing interest in microalgae as renewable feedstock for biofuel production, inspiring a new focus on future biorefineries. This paper is dedicated to an in-depth analysis of the equilibria, stability, and sensitivity of a microalgal growth model developed by Droop (1974) for nutrient-limited batch cultivation. Two equilibrium points were found: the long-term biomass production equilibrium was found to be stable, whereas the equilibrium in the absence of biomass was found to be unstable. Simulations of estimated parameters and initial conditions using literature data were performed to relate the found results to a physical context. In conclusion, an examination of the found equilibria showed that the system does not have isolated fixed points but rather has an infinite number of equilibria, depending on the values of the minimal cell quota and initial conditions of the state variables of the model. The numerical solutions of the sensitivity functions indicate that the model outputs were more sensitive, in particular, to variations in the parameters of the half saturation constant and minimal cell quota than to variations in the maximum inorganic nutrient absorption rate and maximum growth rate.
引用
收藏
页数:20
相关论文
共 48 条
  • [1] Al-Qasmi Maryam, 2012, Proceedings of the World Congress on Engineering (WCE 2012), P608
  • [2] Model-Based Optimization of Microalgae Growth in a Batch Plant
    Albarello, A.
    Simionato, D.
    Morosinotto, T.
    Bezzo, F.
    [J]. INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH, 2019, 58 (13) : 5121 - 5130
  • [3] Global dynamics of a cell quota-based model of light-dependent algae growth in a chemostat
    Alzahrani, Ebraheem O.
    El-Dessoky, M. M.
    Dogra, Prashant
    [J]. COMMUNICATIONS IN NONLINEAR SCIENCE AND NUMERICAL SIMULATION, 2020, 90 (90):
  • [4] A MATHEMATICAL MODEL FOR CONTINUOUS CULTURE OF MICROORGANISMS UTILIZING INHIBITORY SUBSTRATES
    ANDREWS, JF
    [J]. BIOTECHNOLOGY AND BIOENGINEERING, 1968, 10 (06) : 707 - +
  • [5] [Anonymous], 2019, NONLINEAR DYNAMICS C
  • [6] [Anonymous], 1996, Chaos: An Introduction to Dynamical Systems
  • [7] QUANTITATIVE DESCRIPTION OF STEADY-STATE, NUTRIENT-SATURATED ALGAL GROWTH, INCLUDING ADAPTATION
    BANNISTER, TT
    [J]. LIMNOLOGY AND OCEANOGRAPHY, 1979, 24 (01) : 76 - 96
  • [8] Parameter identification of Droop model: an experimental case study
    Benavides, Micaela
    Hantson, Anne-Lise
    Van Impe, Jan
    Wouwer, Alain Vande
    [J]. BIOPROCESS AND BIOSYSTEMS ENGINEERING, 2015, 38 (09) : 1783 - 1793
  • [9] Batch and semi-continuous microalgal TAG production in lab-scale and outdoor photobioreactors
    Benvenuti, Giulia
    Bosma, Rouke
    Ji, Fang
    Lamers, Packo
    Barbosa, Maria J.
    Wijffels, Rene H.
    [J]. JOURNAL OF APPLIED PHYCOLOGY, 2016, 28 (06) : 3167 - 3177
  • [10] Modelling of Microalgae Culture Systems with Applications to Control and Optimization
    Bernard, Olivier
    Mairet, Francis
    Chachuat, Benoit
    [J]. MICROALGAE BIOTECHNOLOGY, 2016, 153 : 59 - 87