A systems approach for CO2 fixation from flue gas by microalgae—Theory review

Kroumov, Alexander Dimitrov; Módenes, Aparecido Nivaldo; Trigueros, Daniela Estelita Góes; Espinoza‐Quiñones, Fernando Rodolfo; Borba, Carlos Eduardo; Scheufele, Fabiano Bisinella; Hinterholz, Camila Larissa

doi:10.1016/j.procbio.2016.05.019

Cited by 49 publications

(26 citation statements)

References 117 publications

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“…Simple to use even in complex environment Ignores intracellular stoichiometry [56] gives microalgae great potential for applications in pharmaceutical, cosmetic, food, feed, and chemical industries [1]. Designing microalgal production plants is an emerging field developing more and more into the direction of rational process design.…”

Section: Multiplication Of Different Kinetic Factors/equationsmentioning

confidence: 99%

Microalgal kinetics — a guideline for photobioreactor design and process development

Schediwy

Trautmann

Steinweg

et al. 2019

Engineering in Life Sciences

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Kinetics generally describes bio‐(chemical) reaction rates in dependence on substrate concentrations. Kinetics for microalgae is often adapted from heterotrophs and lacks mechanistic foundation, e.g. for light harvesting. Using and understanding kinetic equations as the representation of intracellular mechanisms is essential for reasonable comparisons and simulations of growth behavior. Summarizing growth kinetics in one equation does not yield reliable models. Piecewise linear or rational functions may mimic photosynthesis irradiance response curves, but fail to represent the mechanisms. Our modeling approach for photoautotrophic growth comprises physical and kinetic modules with mechanistic foundation extracted from the literature. Splitting the light submodel into the modules for light distribution, light absorption, and photosynthetic sugar production with independent parameters allows the transfer of kinetics between different reactor designs. The consecutive anabolism depends among others on nutrient concentrations. The nutrient uptake kinetics largely impacts carbon partitioning in the reviewed stoichiometry range of cellular constituents. Consecutive metabolic steps mask each other and demand a maximum value understandable as the minimum principle of growth. These fundamental modules need to be clearly distinguished, but may be modified or extended based on process conditions and progress in research. First, discussion of kinetics helps to understand the physiological situation, for which ranges of parameter values are given. Second, kinetics should be used for photobioreactor design, but also for gassing and nutrient optimization. Numerous examples are given for both aspects. Finally, measuring kinetics more comprehensively and precisely will help in improved process development.

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Section: Multiplication Of Different Kinetic Factors/equationsmentioning

confidence: 99%

Microalgal kinetics — a guideline for photobioreactor design and process development

Schediwy

Trautmann

Steinweg

et al. 2019

Engineering in Life Sciences

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“…The main stages of the system analysis theory [1-3] were successfully applied to describe step by step the procedure of kinetic model development of algae growth and complex PBR model as a system [19]. The development of an integral biorefinery concept based on "photosynthesis sub-system" requires considering how the principles of this theory can be applied to algal kinetic model development and furthering how this theory can be extended to the PBR system: (i) Determination of the modeling task, choice of the criterion of optimality;…”

Section: Model Development Procedures Based On the Principles Of Systementioning

confidence: 99%

“…On the other hand, during the algae growth, the utilization of total carbon from the cells available as CO 2(aq) , HCO 3 − and CO 3 2− ions increases the pH value. Experimental data showed that most of the industrially used microalgae achieve optimal photosynthesis conditions within the range of pH between 6 and 10, wherein the bicarbonate species dominates [19,30]. Therefore, the pH can be used as a good (but not unique) control parameter in PBR systems because it is extremely dynamic depending on mentioned above phenomena and temperature as responsible for solubility of gases and gas-liquid interphase equilibrium conditions.…”

Section: Carbon Dioxide Speciation In the Culture Medium And Modelingmentioning

confidence: 99%

“…The drag coefficient can be written as shown in Eqs. (19) and (20), respectively, depending on the mean bubble diameter.…”

Section: Hydrodynamics As a Sub-systemmentioning

confidence: 99%

“…The theory was first published by the authors [1-3]. Our experience from Russia, Bulgaria, Brazil and the USA highlighted the milestones of the modeling procedure of biotechnological processes [4,5] as well as the wastewater treatment processes [6][7][8][9][10][11][12][13] purification of heavy metals [14], bioreactors [15][16][17][18], photobioreactors [19][20][21][22], microalgae growth kinetics [23][24][25], and bacterial growth kinetics [26]. As well as, different ethanol production processes were successfully modeled and analyzed in detail elsewhere [27][28][29].…”

Section: Introductionmentioning

confidence: 99%

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Complex mathematical analysis of photobioreactor system

Scheufele

Hinterholz

Zaharieva

et al. 2018

Engineering in Life Sciences

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Modeling as a tool solves extremely difficult tasks in life sciences. Recently, schemes of culturing of microalgae have received special attention because of its unique features and possible uses in many industrial applications for renewable energy production and high value products isolation. The goal of this review is to present the use of system analysis theory applied to microalgae culturing modeling and process development. The review mainly focuses on the modeling of the key steps of autotrophic growth under the integral biorefinery concept of the microalgae biomass. The system approach follows systematically a procedure showing the difficulties by modeling of sub‐systems. The development of microalgae kinetics and computational fluid dynamics (CFD) studies were analyzed in details as sub‐systems in advanced design of photobioreactor (PBR). This review logically follows the trends of the modeling procedure and clarifies how this approach may save time and money during the research efforts. The result of this work is a successful development of a complex PBR mathematical analysis in the frame of the integral biorefinery concept.

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