Towards a digital twin: a hybrid data‐driven and mechanistic digital shadow to forecast the evolution of lignocellulosic fermentation-Reference-Cited by-同舟云学术

Towards a digital twin: a hybrid data‐driven and mechanistic digital shadow to forecast the evolution of lignocellulosic fermentation

Published:2020-05-13 Issue:5 Volume:14 Page:1046-1060
ISSN:1932-104X
Container-title:Biofuels, Bioproducts and Biorefining
language:en
Short-container-title:Biofuels, Bioprod. Bioref.

Author:

Lopez Pau Cabaneros¹^ORCID,Udugama Isuru A.¹,Thomsen Sune T.²,Roslander Christian³,Junicke Helena¹,Mauricio‐Iglesias Miguel⁴,Gernaey Krist V.¹

Affiliation:

1. Department of Chemical and Biochemical EngineeringProcess and Systems Engineering Center (PROSYS), Technical University of Denmark (DTU) Kongens Lyngby Denmark

2. Department of Geosciences and Natural Resource ManagementUniversity of Copenhagen Frederiksberg C Denmark

3. Department of Chemical EngineeringLund University Lund Sweden

4. Department of Chemical EngineeringCRETUS Institute, Universidade de Santiago de Compostela Santiago de Compostela Spain

Funder

H2020 Marie Skłodowska-Curie Actions

Novo Nordisk Fonden

Publisher

Wiley

Subject

Renewable Energy, Sustainability and the Environment,Bioengineering

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/bbb.2108

Reference31 articles.

1. Fermentation of lignocellulosic hydrolysates. I: inhibition and detoxification

2. Fermentation of lignocellulosic hydrolysates. II: inhibitors and mechanisms of inhibition

3. Main and interaction effects of acetic acid, furfural, andp-hydroxybenzoic acid on growth and ethanol productivity of yeasts

4. Effect of High Solids Loading on Bacterial Contamination in Lignocellulosic Ethanol Production

5. Impact of feedstock quality and variation on biochemical and thermochemical conversion

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