Model-based optimisation of biodiesel production from microalgae

Gupta, Soumyajit; Shastri, Yogendra; Bhartiya, Sharad

doi:10.1016/j.compchemeng.2016.01.014

Cited by 27 publications

(22 citation statements)

References 47 publications

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“…Despite the potential of microalgae, the production cost stands as the main obstacle to its large‐scale deployment. The economic competitiveness of microalgal biofuel strongly depends on the cultivation process (Gupta, Shastri, & Bhartiya, ). Therefore, many researchers have worked on identifying microalgal strains and cultivation conditions that lead to high lipid content with short culturing time.…”

Section: Introductionmentioning

confidence: 99%

A mathematical model of intracellular behavior of microalgae for predicting growth and intracellular components syntheses under nutrient‐replete and ‐deplete conditions

Ryu

Sung

Kim

et al. 2018

Biotech & Bioengineering

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Microalgae is a promising biomass source for renewable fuels and chemicals production. To describe microalgal behavior and improve their cultivation, various kinetic models have been proposed. However, previous works have focused on biomass formation and lipids production only, even though carbohydrates and proteins are also important products, not only for understanding the metabolic behavior of microalgae but also for enhancing the economic viability through value-added side products. In this study, a new mathematical model is proposed to explain core biological mechanisms of growth and macromolecules syntheses based on the central metabolism of carbon and nitrogen. In the model, microalgal growth is separated as hyperplasia and hypertrophy, to describe the cell growth more precisely under nutrient-replete and -deplete conditions. Sensitivity analysis performed using the model indicates that cell state (e.g., cell death rate) has a strong effect on the lipid production explaining the difficulty of reproducing a microalgae culture experiment.

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Section: Introductionmentioning

confidence: 99%

A mathematical model of intracellular behavior of microalgae for predicting growth and intracellular components syntheses under nutrient‐replete and ‐deplete conditions

Ryu

Sung

Kim

et al. 2018

Biotech & Bioengineering

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“…A few of the earlier studies have focused on the development of an appropriate model to study the system for various specified objectives. Sen Gupta et al . have briefly reviewed these studies and have presented a comprehensive model‐based optimization framework to address the research gaps.…”

Section: Introductionmentioning

confidence: 99%

“…have briefly reviewed these studies and have presented a comprehensive model‐based optimization framework to address the research gaps. Their framework determined the most economic pathway of producing biodiesel from microalgae . The model considered process performance indicators, such as harvesting efficiency, and lipid extraction yield as the functions of relevant process decisions, while incorporating optimal equipment sizing and scheduling based on batch time …”

Section: Introductionmentioning

confidence: 99%

“…In this work, we extend the model presented by Sen Gupta et al ., termed as the base model, to study the synthesis of an integrated biorefinery. The salient features of the previous study in terms of variation of process performance indicators with model decisions, determination of optimal equipment specifications, and batch sequencing are incorporated in this work as well.…”

Section: Introductionmentioning

confidence: 99%

“…The novel contributions of this work are: The scope of the present work is the co‐generation of multiple products from microalgae, with biodiesel being the primary target product. Subsequently, a much larger and wider superstructure that includes other co‐products, as compared to the base model, is optimized. Various cases of scheduling, such as without any intermediate storage and with infinite intermediate storage as well as debottlenecking of the slowest step, are explored to quantify their impact on the process economics. The base model is reformulated to be more realistic. In the base model, entities such as concentration of biomass and its individual constituents were pre‐calculated for different combinations of decisions, and the model optimized the flowsheet using those entities as inputs.…”

Section: Introductionmentioning

confidence: 99%

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Optimization of integrated microalgal biorefinery producing fuel and value‐added products

Gupta

Shastri

Bhartiya

2017

Biofuels Bioprod Bioref

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An integrated microalgal biorefinery is desirable from an economic standpoint but challenging to synthesize, due to diversity of options. This work uses a model‐based optimization approach to address this challenge in a systematic manner. A superstructure of the integrated biorefinery is developed where biodiesel is considered as the main product, while polar lipid, protein, and carbohydrate are also processed to various value‐added compounds. Mass balances, equipment capacity limitations, and cost functions corresponding to these processes constitute the constraints of the optimization problem. The decision variables include the process synthesis as well as process scheduling and operations‐related decisions. A Mixed Integer Linear Programming (MILP) model was developed to minimize the net annualized life cycle cost (ALCC) of the biorefinery. For a scenario of 30 Mg/d production target of biodiesel, with no intermediate storage between the stages, the superstructure yielded an optimal biodiesel production cost of US$8.53/L and reduced sugar was selected as a co‐product. Several cases were analyzed in terms of the decision making of the process on the upstream and downstream levels, as well as variations in scheduling strategies. Co‐cultivation of the phototrophic and heterotrophic strains resulted in net ALCC of US$7.66/L, which was 10.2% less than the base case. Batch scheduling with various strategies were also investigated and the case with infinite intermediate storage coupled with debottlenecking reduced the net ALCC by 25% to US$6.4/L. © 2017 Society of Chemical Industry and John Wiley & Sons, Ltd

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Integrated microalgae biorefinery: Impact of product demand profile and prospect of carbon capture

Gupta

Shastri

Bhartiya

2017

Biofuels Bioprod Bioref

Self Cite

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An integrated microalgae biorefinery producing fuels and value‐added products needs to be optimally synthesized for realizing its potential. A large‐scale optimization model considering biorefinery co‐producing biodiesel, polar lipid, protein, and reduced sugar from microalgae has been previously developed, and biodiesel production without any co‐products manufactured was found to be non‐profitable. This work uses the model to study the impact of demands and selling prices of value‐added co‐products on the optimal biorefinery synthesis and the net annualized life cycle cost (ALCC) of biodiesel production. The simulation results showed that production of reduced sugar to the maximum extent resulted in an annualized profit of US$27.23/L of biodiesel production. Individual scenarios for mandatory production of protein and polar lipid resulted in an ALCC of US$15.11/L and US$13.20/L, respectively. The case of fluctuations in demand and selling prices of the end‐products was also analyzed. Additionally, the potential of a biorefinery to sequester atmospheric carbon dioxide from a coal‐fired 500 MW power plant, without any preferential product, is also modeled. Emission of carbon dioxide is considered to attract a penalty. For this study, with a low‐value biodiesel selling price (US$0.48/L), the biorefinery captured 2.77% of the available carbon dioxide and recorded a net annual deficit of US$9.71 million. On the other hand, for a high price of biodiesel (US$8.74/L), 99.89% of the carbon dioxide was captured to have biodiesel and reduced sugar co‐produced, yielding a net annual revenue of US$303.27 million. © 2017 Society of Chemical Industry and John Wiley & Sons, Ltd

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Model-based optimisation of biodiesel production from microalgae

Cited by 27 publications

References 47 publications

A mathematical model of intracellular behavior of microalgae for predicting growth and intracellular components syntheses under nutrient‐replete and ‐deplete conditions

A mathematical model of intracellular behavior of microalgae for predicting growth and intracellular components syntheses under nutrient‐replete and ‐deplete conditions

Optimization of integrated microalgal biorefinery producing fuel and value‐added products

Integrated microalgae biorefinery: Impact of product demand profile and prospect of carbon capture

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