FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W4302022995> ?p ?o ?g. }

• W4302022995 endingPage "106619" @default.
• W4302022995 startingPage "106619" @default.
• W4302022995 abstract "A one-dimensional model with consideration of internal and external heat transfer, particle shrinkage, moisture evaporation, and pyrolysis kinetics is developed to predict biomass torrefaction behaviors. Three different kinetic schemes (i.e. a lump kinetic scheme and two detailed kinetic schemes (Andrés Anca-Couce and IngwaldObernberger, 2016, and Debiagi et al., 2018) are evaluated to find the suitable pyrolysis kinetics for biomass torrefaction process. The modeling results are compared with single beechwood particle torrefaction experiments. The results show that the detailed kinetic scheme proposed by Debiagi et al. shows the best performance among the three kinetic schemes, and it can correctly predict particle shrinkage, particle conversion, mass loss history, and biochar C/H/O compositions, while the lump kinetic scheme underestimates torrefaction rates and particle shrinkage degree at low temperature conditions (280–370 °C), and the kinetic scheme proposed by Andrés and Ingwald underestimates carbon concentration and overestimates the oxygen concentration of torrefied wood at high temperature conditions (370, 400, and 430 °C). Therefore, the kinetic scheme of Debiagi et al. is considered to be the most promising kinetics in particle-scale modeling of the torrefaction process. A sensitivity analysis is also performed to evaluate the effects of modeling parameters on modeling results as well as study the control mechanism of torrefaction process. The results show that modeling results are significantly influenced by parameters involved with external and external heat transfer related, boundary conditions, and reaction rate, indicating torrefaction process of large particles is controlled by both internal and external heat transfer, and kinetics. • A one-dimensional model is developed to predict the biomass torrefaction process. • Heat transfer, particle shrinkage, evaporation, pyrolysis considered in the model. • One lumped and two detailed pyrolysis kinetics are assessed and analyzed. • The detailed kinetic scheme proposed by Debiagi et al. shows the best performance. • The torrefaction process is controlled by both heat transfer and kinetics." @default.
• W4302022995 created "2022-10-06" @default.
• W4302022995 creator A5003794162 @default.
• W4302022995 creator A5008413934 @default.
• W4302022995 creator A5015460834 @default.
• W4302022995 creator A5049223463 @default.
• W4302022995 creator A5065324700 @default.
• W4302022995 creator A5066275647 @default.
• W4302022995 creator A5073585436 @default.
• W4302022995 creator A5075448214 @default.
• W4302022995 creator A5077524530 @default.
• W4302022995 date "2022-11-01" @default.
• W4302022995 modified "2023-10-16" @default.
• W4302022995 title "Assessments and analysis of lumped and detailed pyrolysis kinetics for biomass torrefaction with particle-scale modeling" @default.
• W4302022995 cites W1976221666 @default.
• W4302022995 cites W1979334207 @default.
• W4302022995 cites W1985233943 @default.
• W4302022995 cites W1988867856 @default.
• W4302022995 cites W1998424890 @default.
• W4302022995 cites W2017240604 @default.
• W4302022995 cites W2032319253 @default.
• W4302022995 cites W2033267637 @default.
• W4302022995 cites W2171995893 @default.
• W4302022995 cites W2175374168 @default.
• W4302022995 cites W2216856371 @default.
• W4302022995 cites W2333350892 @default.
• W4302022995 cites W2593284219 @default.
• W4302022995 cites W2600146518 @default.
• W4302022995 cites W2621114462 @default.
• W4302022995 cites W2739410049 @default.
• W4302022995 cites W2755206630 @default.
• W4302022995 cites W2763868352 @default.
• W4302022995 cites W2771061658 @default.
• W4302022995 cites W2806580890 @default.
• W4302022995 cites W2810346559 @default.
• W4302022995 cites W2884437829 @default.
• W4302022995 cites W2921961193 @default.
• W4302022995 cites W2974000420 @default.
• W4302022995 cites W2980781160 @default.
• W4302022995 cites W3017135165 @default.
• W4302022995 cites W3019844440 @default.
• W4302022995 cites W3044454337 @default.
• W4302022995 cites W3138834703 @default.
• W4302022995 cites W4205431947 @default.
• W4302022995 cites W4220999036 @default.
• W4302022995 doi "https://doi.org/10.1016/j.biombioe.2022.106619" @default.
• W4302022995 hasPublicationYear "2022" @default.
• W4302022995 type Work @default.
• W4302022995 citedByCount "4" @default.
• W4302022995 countsByYear W43020229952023 @default.
• W4302022995 crossrefType "journal-article" @default.
• W4302022995 hasAuthorship W4302022995A5003794162 @default.
• W4302022995 hasAuthorship W4302022995A5008413934 @default.
• W4302022995 hasAuthorship W4302022995A5015460834 @default.
• W4302022995 hasAuthorship W4302022995A5049223463 @default.
• W4302022995 hasAuthorship W4302022995A5065324700 @default.
• W4302022995 hasAuthorship W4302022995A5066275647 @default.
• W4302022995 hasAuthorship W4302022995A5073585436 @default.
• W4302022995 hasAuthorship W4302022995A5075448214 @default.
• W4302022995 hasAuthorship W4302022995A5077524530 @default.
• W4302022995 hasConcept C115540264 @default.
• W4302022995 hasConcept C121332964 @default.
• W4302022995 hasConcept C127413603 @default.
• W4302022995 hasConcept C148898269 @default.
• W4302022995 hasConcept C156380964 @default.
• W4302022995 hasConcept C162857116 @default.
• W4302022995 hasConcept C178790620 @default.
• W4302022995 hasConcept C185592680 @default.
• W4302022995 hasConcept C18903297 @default.
• W4302022995 hasConcept C2778517922 @default.
• W4302022995 hasConcept C2778755073 @default.
• W4302022995 hasConcept C36759035 @default.
• W4302022995 hasConcept C39432304 @default.
• W4302022995 hasConcept C528095902 @default.
• W4302022995 hasConcept C53991642 @default.
• W4302022995 hasConcept C548081761 @default.
• W4302022995 hasConcept C62520636 @default.
• W4302022995 hasConcept C6557445 @default.
• W4302022995 hasConcept C86803240 @default.
• W4302022995 hasConceptScore W4302022995C115540264 @default.
• W4302022995 hasConceptScore W4302022995C121332964 @default.
• W4302022995 hasConceptScore W4302022995C127413603 @default.
• W4302022995 hasConceptScore W4302022995C148898269 @default.
• W4302022995 hasConceptScore W4302022995C156380964 @default.
• W4302022995 hasConceptScore W4302022995C162857116 @default.
• W4302022995 hasConceptScore W4302022995C178790620 @default.
• W4302022995 hasConceptScore W4302022995C185592680 @default.
• W4302022995 hasConceptScore W4302022995C18903297 @default.
• W4302022995 hasConceptScore W4302022995C2778517922 @default.
• W4302022995 hasConceptScore W4302022995C2778755073 @default.
• W4302022995 hasConceptScore W4302022995C36759035 @default.
• W4302022995 hasConceptScore W4302022995C39432304 @default.
• W4302022995 hasConceptScore W4302022995C528095902 @default.
• W4302022995 hasConceptScore W4302022995C53991642 @default.
• W4302022995 hasConceptScore W4302022995C548081761 @default.
• W4302022995 hasConceptScore W4302022995C62520636 @default.
• W4302022995 hasConceptScore W4302022995C6557445 @default.
• W4302022995 hasConceptScore W4302022995C86803240 @default.

• next