Modelling of production processes for liquid biofuels through CFD: A review of conventional and intensified technologies

Quiroz-Pérez, Efraín; Gutiérrez‐Antonio, Claudia; Vázquez-Román, Richart

doi:10.1016/j.cep.2019.107629

Cited by 19 publications

(5 citation statements)

References 100 publications

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“…CFD is flexible in adapting to new reaction conditions and settings, and it is aided by commercial packages that enhance the user experience and simplify the modeling of complex reactions or process setups. The three components of a CFD study are the pre-processor, solver, and post-processor [14][15][16][17].…”

Section: The Fundamentals Of Cfdmentioning

confidence: 99%

Advances in Computational Fluid Dynamics Modeling for Biomass Pyrolysis: A Review

Kulkarni,

Mishra,

Palla

et al. 2023

Energies

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Pyrolysis, a process for extracting valuable chemicals from waste materials, leverages computational fluid dynamics (CFD) to optimize reactor parameters, thereby enhancing product quality and process efficiency. This review aims to understand the application of CFD in pyrolysis. Initially, the need for pyrolysis and its role in biomass valorization are discussed, and this is followed by an elaboration of the fundamentals of CFD studies in terms of their application to the pyrolysis process. The various CFD simulations and models used to understand product formation are also explained. Pyrolysis is conducted using both conventional and microwave-assisted pyrolysis platforms. Hence, the reaction kinetics, governing model equations, and laws are discussed in the conventional pyrolysis section. In the microwave-assisted pyrolysis section, the importance of wavelength, penetration depth, and microwave conversion efficiencies on the CFD are discussed. This review provides valuable insights to academic researchers on the application of CFD in pyrolysis systems. The modeling of pyrolysis by computational fluid dynamics (CFD) is a complex process due to the implementation of multiple reaction kinetics and physics, high computational cost, and reactor design. These challenges in the modeling of the pyrolysis process are discussed in this paper. Significant solutions that have been used to overcome the challenges are also provided with potential areas of research and development in the future of CFD in pyrolysis.

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Section: The Fundamentals Of Cfdmentioning

confidence: 99%

Advances in Computational Fluid Dynamics Modeling for Biomass Pyrolysis: A Review

Kulkarni,

Mishra,

Palla

et al. 2023

Energies

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“…This way, engineers also have been investigating how to design a rapid and safe production process to supply such demand. Since biodiesel synthesis is a multiphase transesterification reaction, slow mass transfer impacts overall reaction time and continuous reactors have been developed to overcome this issue (Quiroz-Pérez et al 2019). To implement this production process at industrial scale, mass and heat transfer must be enhanced.…”

Section: Numerical Simulation Of Biodiesel Synthesis In Microreactorsmentioning

confidence: 99%

Are Microreactors the Future of Biodiesel Synthesis?

Welter¹,

Silva²,

Souza³

et al. 2022

Preprint

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Microfluidic devices or microdevices refer to systems with a characteristic length in the micrometer range. Systems in this size allow handling small quantities of reagents and samples, with reduced residence time, better control of chemical species concentration, high heat and mass transfers, and high surface/volume ratio. These characteristics led to the application of these microdevices in several areas, such as biological systems, energy, liquid-liquid extraction, food, agricultural sectors, pharmaceuticals, flow chemistry, microreactors, and biodiesel synthesis. Microreactors are devices that have interconnected microchannels, in which small amounts of reagents are manipulated and react for a certain period of time. The traditional characteristics of microreactors are less quantities of reagents and samples, high surface area in relation to volume (10000 m2 m-3), reduction of resistance to heat and mass transfer, reduced reaction times, and narrower residence time distributions. In recent years, several studies have been carried out on biodiesel production in microreactors that explore the influence of operating conditions, mixing and reaction yield, numbering, and especially the microdevices design. Despite all the advantages of microreactors, the literature shows that there are only a few applications on an industrial scale. Two main reasons that hinder the adoption of this technology are the scale-up to a large enough volume to deliver the necessary production capacity and the costs related to industrial manufacturing microreactors. It is often stated that large-scale production of microreactors can be easily achieved by numbering-up. However, researches show that an incredibly high number of microdevices would be needed, which results in a technical unfeasibility and a strong impact on the construction costs of the industrial system. The present review aims to show whether microreactors can replace conventional biodiesel production processes and how this replacement technology could be carried out. The current chapter was divided into the following sections: Introduction, Synthesis and Purification of Biodiesel in Microreactors, Fundamentals of CFD, and Fundamentals of Scale-up. Finally, conclusions and future perspectives are exposed.

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“…Internal combustion engines running on next-generation biofuels is the thrust area amongst the research community. Studies on bio fuelled engines showed improved performance, significant drop in CO emissions, unburned hydrocarbons, and particulate matters [8][9][10][11][12][13][14][15][16][17][18]. There can be no single best suggestive biofuel for the engine.…”

Section: Gepmentioning

confidence: 99%

Application of Artificial Neural Network for Internal Combustion Engines: A State of the Art Review

Bhatt

Shrivastava

2021

Arch Computat Methods Eng

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The automotive industry is facing a crucial time. The transformation from internal combustion engines to new electrical technologies requires enormous investment, and hence the IC engines are likely to serve as a means of transportation for the coming decades. The search for sustainable green alternative fuel and operating parameter optimization is a current feasible solution and is a critical issue among the scientific community. Engine experiments are complicated, costly, and time-consuming, especially when the global economy is drastically down due to the COVID-19 pandemic and putting the limitation of social distancing. Industries are looking for proven computational solutions to address these issues. Recently, artificial neural network has been proven beneficial in several areas of engineering to reduce the time and experimentation cost. The IC engine is one of them. ANN has been used to predict and analyze different characteristics such as performance, combustion, and emissions of the IC engine to save time and energy. The complex nature of ANN may lead to computation time, energy, and space. Recent studies are centered on changing the network topology, deep learning, and design of ANN to get the highest performance. The present study summarizes the application of ANN to predict and optimize the complicated characteristics of various types of engines with different fuels. The study aims to investigate the network topologies adopted to design the model and thereafter statistical evaluation of the developed ANN models. A comparison of the ANN model with other prediction models is also presented.

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Modelling of production processes for liquid biofuels through CFD: A review of conventional and intensified technologies

Cited by 19 publications

References 100 publications

Advances in Computational Fluid Dynamics Modeling for Biomass Pyrolysis: A Review

Advances in Computational Fluid Dynamics Modeling for Biomass Pyrolysis: A Review

Are Microreactors the Future of Biodiesel Synthesis?

Application of Artificial Neural Network for Internal Combustion Engines: A State of the Art Review

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