CFD-DEM study of a V-shaped Down-tube pyrolysis Reactor: Flow and heat transfer between heat carrier and biomass DOI

Ranran Kong,

Dongmei Bi, Di Yao

et al.

Applied Thermal Engineering, Journal Year: 2022, Volume and Issue: 207, P. 118179 - 118179

Published: Feb. 7, 2022

Language: Английский

Biofuels for a sustainable future: Examining the role of nano-additives, economics, policy, internet of things, artificial intelligence and machine learning technology in biodiesel production DOI
Sagar Shelare, Pramod Belkhode, Keval Chandrakant Nikam

et al.

Energy, Journal Year: 2023, Volume and Issue: 282, P. 128874 - 128874

Published: Aug. 29, 2023

Language: Английский

Citations

76

MFiX based multi-scale CFD simulations of biomass fast pyrolysis: A review DOI
Liqiang Lu, Xi Gao,

Jean-François Dietiker

et al.

Chemical Engineering Science, Journal Year: 2021, Volume and Issue: 248, P. 117131 - 117131

Published: Sept. 19, 2021

Language: Английский

Citations

65

A review on CFD simulation of biomass pyrolysis in fluidized bed reactors with emphasis on particle-scale models DOI
Hao Luo, Xiaobao Wang, Xinyan Liu

et al.

Journal of Analytical and Applied Pyrolysis, Journal Year: 2022, Volume and Issue: 162, P. 105433 - 105433

Published: Jan. 10, 2022

Language: Английский

Citations

62

Signed distance field enhanced fully resolved CFD-DEM for simulation of granular flows involving multiphase fluids and irregularly shaped particles DOI
Zhengshou Lai, Jidong Zhao, Shiwei Zhao

et al.

Computer Methods in Applied Mechanics and Engineering, Journal Year: 2023, Volume and Issue: 414, P. 116195 - 116195

Published: July 7, 2023

Language: Английский

Citations

39

Coupling coarse‐grained DEM‐CFD and intraparticle model for biomass fast pyrolysis simulation and experiment validation DOI

Bing Wang,

Jianjian Dai, Sijie Li

et al.

AIChE Journal, Journal Year: 2024, Volume and Issue: 70(5)

Published: March 12, 2024

Abstract The understanding of complex fluidization hydrodynamics and chemical reactions in biomass fast pyrolysis fluidized bed reactors is lacking requires further investigation. It urgent to develop accurate mathematical models capable describing the multiphase reaction system pyrolysis. A comprehensive multiscale model based on coarse‐grained discrete element method (DEM)‐computational fluid dynamics (CFD) was developed open‐source MFiX code. incorporates detailed kinetics an intraparticle model. To validate model, measurements were conducted a pyrolyzer, including quantifying segmental pressure drop along height determining yields compositions gas, liquid, solid products. particle mixing segregation, axial distribution residence time, Lacey index, products investigated. study provides experimental theoretical foundations for designing advancing thermochemical conversion.

Language: Английский

Citations

11

Exploring the pyrolysis of Agave species as a novel bioenergy source: thermo-kinetics, modeling, and product composition insights DOI
Jean Constantino Gomes da Silva, Santiago Arias, José Geraldo A. Pacheco

et al.

Journal of Analytical and Applied Pyrolysis, Journal Year: 2025, Volume and Issue: unknown, P. 107053 - 107053

Published: Feb. 1, 2025

Language: Английский

Citations

1

Advanced DEM simulation on powder mixing for ellipsoidal particles in an industrial mixer DOI Creative Commons
Yuki Mori, Mikio Sakai

Chemical Engineering Journal, Journal Year: 2021, Volume and Issue: 429, P. 132415 - 132415

Published: Sept. 14, 2021

Tons of products are facilitated through powder mixing processes. The quality the final is highly influenced by state. Hence, detailed information about state necessary to improve quality. Recent remarkable advancements in computer hardware enable evaluation via numerical simulation. Discrete Element Method (DEM) frequently used simulations, where computational particle shapes typically modeled a spherical body. On other hand, not all industries spherical, and structure industrial mixers generally complex. Thus, when DEM applied an mixer, modeling shape complex may be taken into consideration. In present study, innovative model newly developed simulate non-spherical particles mixer. Here, ellipsoidal equation, mixer using Signed Distance Function (SDF), wall boundary flexibly scalar field. This approach referred as DEM/SDF. current adequacy applicability DEM/SDF demonstrated following steps. First, compatibility with SDF soft linear spring validation tests. Subsequently, effect on progress ribbon examined. Through computations, shown insignificant Consequently, applicable mixing, therefore, will contribute optimization design operational conditions chemical, food, pharmaceutical engineering fields.

Language: Английский

Citations

52

Multiscale CFD simulation of biomass fast pyrolysis with a machine learning derived intra-particle model and detailed pyrolysis kinetics DOI Creative Commons
Liqiang Lu, M. Brennan Pecha, Gavin Wiggins

et al.

Chemical Engineering Journal, Journal Year: 2021, Volume and Issue: 431, P. 133853 - 133853

Published: Nov. 27, 2021

Language: Английский

Citations

47

Effect of aspect ratio of ellipsoidal particles on segregation of a binary mixture in a rotating drum DOI
Sunil Kumar, Salma Khatoon, Shivam Parashar

et al.

Powder Technology, Journal Year: 2023, Volume and Issue: 427, P. 118682 - 118682

Published: May 27, 2023

Language: Английский

Citations

21

Review of Modelling of Pyrolysis Processes with CFD-DEM DOI Creative Commons

Don Dasun Attanayake,

Fabian Sewerin,

Shreyas Kulkarni

et al.

Flow Turbulence and Combustion, Journal Year: 2023, Volume and Issue: 111(2), P. 355 - 408

Published: July 4, 2023

Abstract In a pyrolysis reactor, organic polymers from biomass or plastic waste are thermally decomposed into volatile gases, condensable vapours (tar bio-oil) and solid residues (char). Since these products may serve as building blocks for downstream chemical refinement form the basis of bio-derived fuels, is thought to be instrumental in our progress towards circular economy. A reactor constitutes multiphase reactive system whose operation influenced by many physical phenomena that occur at different scales. Because interactions potential reinforcements processes difficult isolate elucidate experimentally, development predictive modelling tool, example, based on CFD-DEM (discrete element method) methodology, attracting increasing attention, particularly reactors operated with feedstock. By contrast, descriptions remain challenge present, mainly due an incomplete understanding their melting behaviour. this article, we provide blueprint describing process within scope CFD-DEM, review choices made past investigations detail underlying assumptions. Furthermore, influence operating conditions feedstock properties key metrics process, such conversion, product composition residence time, determined analyses surveyed systematised. Open challenges identify pertain incorporation particle non-sphericity polydispersity, plastics, shrinkage, exothermicity part gas-particle chemistry catalytic effects.

Language: Английский

Citations

19