Dynamic Optimization of Biomass Productivity in Continuous Cultures of Microalgae Isochrysis galbana through Modulation of the Light Intensity

Deschênes, Jean-Daniel; Wouwer, Alain Vande

doi:10.1016/j.ifacol.2015.09.114

Cited by 7 publications

(6 citation statements)

References 17 publications

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“…The highly sensitive parameters identified in this study hold promising applications in extremum seeking control (ESC) [94], an adaptive control strategy that actively and continuously seeks optimal values of a variable in a system by adjusting system parameters based on real-time feedback to optimize performance. A dedicated investigation by [95] explored the feasibility of dynamically adjusting light intensity to consistently track optimal biomass productivity. This study aimed to achieve this objective in a nearly model-free setup, following the principles of the extremum seeking control approach.…”

Section: Sensitivity Analysismentioning

confidence: 99%

Dynamical Simulation, Sensitivity, and Productivity Analysis of a Light-Photoacclimation Model for Microalgae-Based Carbohydrate Production in Continuous Photobioreactors

et al. 2023

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The world’s human population is increasing as is the demand for new sustainable sources of energy. Accordingly, microalgae-based carbohydrates for biofuel production are being considered as an alternative source of raw materials for producing biofuels. Microalgae grow in photobioreactors under constantly changing conditions. Models improve our understanding of microalgae growth. In this paper, a photoacclimated model for continuous microalgae cultures in photobioreactors was used to study the time-varying behavior and sensitivity of solutions under optimal productivity conditions. From the perspective of dynamic simulation in this work, light intensity was found to play an influential role in modifying metabolic pathways as a cell stressor. Enhancing carbohydrate productivity by combining nutritional deficiency and light intensity regulation modeling strategies could be helpful to optimize the process for the highest yield in large-scale cultivation systems. Under the proposed simulation conditions, a maximum carbohydrate productivity of 48.11 gCm−3d−1 was achieved using an optimal dilution rate of 0.2625 d−1 and 350 μmolm−2s−1 of light intensity. However, it is important to note that, a particular set of manipulated inputs can generate multiple outputs at a steady state. A numerical solution of the sensitivity functions indicated that the model outputs were especially sensitive to changes in parameters corresponding to a minimum nitrogen quota, maximum nitrogen intake rate, dilution rate, and maximum nitrogen quota compared to to other model parameters.

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Section: Sensitivity Analysismentioning

confidence: 99%

Dynamical Simulation, Sensitivity, and Productivity Analysis of a Light-Photoacclimation Model for Microalgae-Based Carbohydrate Production in Continuous Photobioreactors

et al. 2023

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“…Most of the control strategies manipulate the dilution rate of the photobioreactor. A different approach can be found in [54] and in [55], where photon flux density is considered for control purposes. Regarding artificial light conditions, the intensity of the incident light can be used to achieve optimal conditions for microalgae growth.…”

Section: Background On Model-based Control Of Cultures Of Microalgaementioning

confidence: 99%

Experimental Study of Substrate Limitation and Light Acclimation in Cultures of the Microalgae Scenedesmus obliquus—Parameter Identification and Model Predictive Control

et al. 2020

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In this study, the parameters of a dynamic model of cultures of the microalgae Scenedesmus obliquus are estimated from datasets collected in batch photobioreactors operated with various initial conditions and light illumination conditions. Measurements of biomass, nitrogen quota, bulk substrate concentration, as well as chlorophyll concentration are achieved, which allow the determination of parameters with satisfactory confidence intervals and model cross-validation against independent data. The dynamic model is then used as a predictor in a nonlinear model predictive control strategy where the dilution rate and the incident light intensity are simultaneously manipulated in order to optimize the cumulated algal biomass production.

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“…In Ref. an extremum seeking controller is designed to maximize biomass productivity in continuous cultures of Isochrysis galbana microalgae. Light intensity is considered as the optimization variable.…”

Section: Optimization Of Microalgae Culture Processes For Co2 Mitigationmentioning

confidence: 99%

“…Thus, the strategy is robust with respect to weather variations. This approach achieves a maximum productivity near 20 gm −2 d −1 for dilution rates around 1 d −1 65 Light intensity An extremum seeking controller (ESC) was implemented to maximize the biomass productivity in continuous cultures of Isochrysis galbana microalgae. The ESC proposed is quite robust to relatively large process parametric variations as well as reasonable measurement noise levels.…”

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confidence: 99%

Biogas purification via optimal microalgae growth: A literature review

Cea-Barcia

López‐Caamal

Zúñiga

et al. 2018

Biotechnology Progress

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In this review, we compare works from the current decade that address the CO2‐removal from biogas by means of microalgae. The microalgae culture process acts as a biochemical absorption process; it is potentially competitive with respect to classical and commercial absorption methods due to its additional benefits such as availing CO2 for the production of valuable microalgae biomass and being an environmentally friendly technique. Nevertheless, the low yield of biogas purification translates into the need to use optimal operation strategies that render the whole biogas production process economically feasible. A class of these strategies requires models capable of reproducing key traits of the dynamical behavior of microalgae growth. Thus, without overlooking the classical physico‐chemical methods for biogas purification, our literature review addresses: (i) biogas purification via microalgae and different microalgae growth conditions, (ii) approaches that maximize microalgae growth, in order to increase CO2‐consumption, and (iii) different models that describe the representative characteristics of microalgae growth. This investigation traces a pathway to future considerations on optimal biogas purification alternatives by microalgae culture processes. © 2018 American Institute of Chemical Engineers Biotechnol. Prog., 34:1513–1532, 2018

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Dynamic Optimization of Biomass Productivity in Continuous Cultures of Microalgae Isochrysis galbana through Modulation of the Light Intensity

Cited by 7 publications

References 17 publications

Dynamical Simulation, Sensitivity, and Productivity Analysis of a Light-Photoacclimation Model for Microalgae-Based Carbohydrate Production in Continuous Photobioreactors

Dynamical Simulation, Sensitivity, and Productivity Analysis of a Light-Photoacclimation Model for Microalgae-Based Carbohydrate Production in Continuous Photobioreactors

Experimental Study of Substrate Limitation and Light Acclimation in Cultures of the Microalgae Scenedesmus obliquus—Parameter Identification and Model Predictive Control

Biogas purification via optimal microalgae growth: A literature review

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