Thermodynamic Evaluation of the Intermediate Liquid Compounds (ILC) from Biomass Fast Pyrolysis

Autor: Jean‐jacques Letourneau, Marion Carrier, Yi Wang, Yani Zhang, Guiyu Xiao
Přispěvatelé: Huazhong University of Science and Technology [Wuhan] (HUST), Centre de recherche d'Albi en génie des procédés des solides divisés, de l'énergie et de l'environnement (RAPSODEE), Centre National de la Recherche Scientifique (CNRS)-IMT École nationale supérieure des Mines d'Albi-Carmaux (IMT Mines Albi), Institut Mines-Télécom [Paris] (IMT)-Institut Mines-Télécom [Paris] (IMT), ANR: MOPGA,ANR-18-MPGA-0013, ANR-18-MPGA-0013,PYROKINE,Pyrolyse rapide de la biomasse des déchets: double cinétique(2018)
Jazyk: angličtina
Rok vydání: 2020
Předmět:
Zdroj: GESD 2020-3rd International Conference on Green Energy and Sustainable Development
GESD 2020-3rd International Conference on Green Energy and Sustainable Development, Nov 2020, Shenyang City, China. 7 p., ⟨10.1088/1755-1315/651/2/022001⟩
ISSN: 1755-1307
Popis: Biomass fast pyrolysis process is a technology that converts renewable solids into a dense liquid. This study aims to apprehend the thermodynamic behaviour of the Intermediate Liquid Compounds (ILCs) observed during the biomass fast pyrolysis. The system studied was a closed system (20 mL) with air and a mixture solution of five components (Acetic acid (AA), hydroxyacetone (HX), phenol; furfural (FF) and methanol) at 90°C and under atmospheric pressure. The flash calculation was conducted at a given temperature and pressure. The vapor-liquid equilibrium compositions were determined combining equation of state and activity coefficient models, the Soave-Redlich-Kwong (SRK) equation of state coupled with Modified Huron-Vidal (MHV2) mixing rules incorporating the UNIversal Functionnal Activity Coefficient (UNIFAC) model. Theoretical calculations of vapor-liquid equilibrium compositions were experimentally validated by using a Head-Space GC-MS system. A quantitative agreement between simulated and measured concentrations in the liquid phase was achieved with this combined state-predictive model of SRK-MHV2-UNIFAC model; thus, confirming that it accounts well for the nonidealities.
Databáze: OpenAIRE