Recent advances in CFD modeling of bioethanol production processes
N Novia, H Hasanudin, H Hermansyah… - … and Sustainable Energy …, 2023 - Elsevier
Bioethanol is the alternative to fossil fuels for the transport sector's environmental
sustainability. Scientific journals have disclosed a few works on modeling and enhancing …
sustainability. Scientific journals have disclosed a few works on modeling and enhancing …
[HTML][HTML] CFD simulation of anaerobic granular sludge reactors: A review
C D'Bastiani, D Kennedy, A Reynolds - Water Research, 2023 - Elsevier
Anaerobic digestion processes can generate renewable energy in the form of biogas while
treating organic wastewater. The generation of biogas within anaerobic digestion systems is …
treating organic wastewater. The generation of biogas within anaerobic digestion systems is …
SPHinXsys: An open-source multi-physics and multi-resolution library based on smoothed particle hydrodynamics
In this paper, we present an open-source multi-resolution and multi-physics library,
SPHinXsys, which is released under the Apache License (2.0). Along with the source code …
SPHinXsys, which is released under the Apache License (2.0). Along with the source code …
Computational fluid dynamics (CFD) modeling applied to biological wastewater treatment systems: An overview of strategies for the kinetics integration
MC Sadino-Riquelme, A Donoso-Bravo… - Chemical Engineering …, 2023 - Elsevier
Kinetics and CFD modeling is widely used for the study of biological treatment systems. This
work reviews publications from 2006 to 2023 and compares the strategies applied to …
work reviews publications from 2006 to 2023 and compares the strategies applied to …
A critical review of experimental and CFD techniques to characterize the mixing performance of anaerobic digesters for biogas production
L Li, K Wang, Q Zhao, Q Gao, H Zhou, J Jiang… - … Science and Bio …, 2022 - Springer
Biogas from anaerobic digestion (AD), as an important alternative to fossil fuels, has
contributed to energy recovery and environmental sustainability. Incomplete or inefficient …
contributed to energy recovery and environmental sustainability. Incomplete or inefficient …
An integrative smoothed particle hydrodynamics method for modeling cardiac function
Mathematical modeling of cardiac function can provide augmented simulation-based
diagnosis tools for complementing and extending human understanding of cardiac …
diagnosis tools for complementing and extending human understanding of cardiac …
[HTML][HTML] Integrating biokinetics with computational fluid dynamics for energy performance analysis in anaerobic digestion
Anaerobic digestion (AD) is an effective process for decomposing organic matter in
wastewater treatment plants (WWTPs) where highly efficient digesters properly mix the …
wastewater treatment plants (WWTPs) where highly efficient digesters properly mix the …
Not just numbers: Mathematical modelling and its contribution to anaerobic digestion processes
MJ Wade - Processes, 2020 - mdpi.com
Mathematical modelling of bioprocesses has a long and notable history, with eminent
contributions from fields including microbiology, ecology, biophysics, chemistry, statistics …
contributions from fields including microbiology, ecology, biophysics, chemistry, statistics …
Critical review on the necessity of bioelectricity generation from slaughterhouse industry waste and wastewater using different anaerobic digestion reactors
R Loganath, J Senophiyah-Mary - Renewable and Sustainable Energy …, 2020 - Elsevier
In this review article, a complete review on the generation of bioenergy from various
anaerobic reactors was highlighted with respect to the slaughterhouse waste (SHW). The …
anaerobic reactors was highlighted with respect to the slaughterhouse waste (SHW). The …
Lagrangian stochastic modelling of liquid flow in a mechanically agitated vessel
HA Sheikh, C Savari, M Barigou - Chemical Engineering Science, 2022 - Elsevier
Deterministic models of complex flows are challenging and computationally expensive. We
propose here, for the first time, a computationally efficient data-driven Lagrangian stochastic …
propose here, for the first time, a computationally efficient data-driven Lagrangian stochastic …