Sie befinden Sich nicht im Netzwerk der Universität Paderborn. Der Zugriff auf elektronische Ressourcen ist gegebenenfalls nur via VPN oder Shibboleth (DFN-AAI) möglich. mehr Informationen...
Ergebnis 2 von 3

Details

Autor(en) / Beteiligte
Titel
Modeling and simulation of a sawdust mixture-based integrated biorefinery plant producing bioethanol
Ist Teil von
  • Bioresource technology, 2021-04, Vol.325, p.124650-124650, Article 124650
Ort / Verlag
England: Elsevier Ltd
Erscheinungsjahr
2021
Link zum Volltext
Quelle
MEDLINE
Beschreibungen/Notizen
  • •An integrated bioethanol plant with sawdust mixture as the feedstock was simulated.•Organolsolv with full solvent recovery was used as for biomass deconstruction.•The plant converts 70,088 t/y of lignocellulosic biomass into 11,650 t/y of ethanol.•The plant also produces 6,615 t/y of high-quality lignin and 6,887 kW of electricity.•Heat demand was met with solid residues and another softwood byproducts: barks. The design, modeling and simulation of an integrated biorefinery plant assumed to convert different forestry assortments such as sawdust or shavings (sawmill waste) into bioethanol from cellulose and hemicellulose as the main product, and lignin as the most valuable co-product, was carried out. The proposed lignocellulosic ethanol biorefinery plant was simulated with ProSimPlus. The model was based on experimental results and includes an Organosolv pretreatment, enzymatic hydrolysis, fermentation and distillation to obtain bioethanol. The investigated plant size processed 70,088 tons of biomass/year, with a production capacity of 11,650 tons ethanol/year. Ethanol productivity reached 351 L/ton of dry feedstock. Considering water consumption, approximately 4.8 L of water were needed to produce a liter of ethanol. Finally, the energy targeting through conventional pinch analysis lead to 16.4 MW and 16.07 MW of hot and cold utility energy demand for the entire process respectively with the cogeneration of electricity.
Sprache
Englisch
Identifikatoren
ISSN: 0960-8524
eISSN: 1873-2976
DOI: 10.1016/j.biortech.2020.124650
Titel-ID: cdi_proquest_miscellaneous_2478597918

Weiterführende Literatur

Empfehlungen zum selben Thema automatisch vorgeschlagen von bX