Bayesian Statistics to Elucidate the Kinetics of γ-Valerolactone from n-Butyl Levulinate Hydrogenation over Ru/C-Reference-Cited by-同舟云学术

Bayesian Statistics to Elucidate the Kinetics of γ-Valerolactone from n-Butyl Levulinate Hydrogenation over Ru/C

Published:2021-07-29 Issue:31 Volume:60 Page:11725-11736
ISSN:0888-5885
Container-title:Industrial & Engineering Chemistry Research
language:en
Short-container-title:Ind. Eng. Chem. Res.

Author:

Capecci Sarah¹²,Wang Yanjun¹,Delgado Jose¹³,Casson Moreno Valeria²,Mignot Mélanie⁴,Grénman Henrik³^ORCID,Murzin Dmitry Yu.³^ORCID,Leveneur Sébastien¹^ORCID

Affiliation:

1. Normandie Université, INSA Rouen, UNIROUEN, LSPC, EA4704, 76000 Rouen, France

2. Dipartimento di Ingegneria Chimica, Civile, Ambientale e dei Materiali, Alma Mater Studiorum—Università di Bologna, via Terracini 28, 40131 Bologna, Italy

3. Laboratory of Industrial Chemistry & Reaction Engineering, Department of Chemical Engineering, Johan Gadolin Process Chemistry Centre, Åbo Akademi University, FI-20500 Åbo-Turku, Finland

4. COBRA UMR CNRS 6014, Normandie Université, INSA de Rouen, avenue de l’Université, Saint-Etienne-du-Rouvray 76800, France

Funder

European Regional Development Fund

Regional Council of Normandie

Publisher

American Chemical Society (ACS)

Subject

Industrial and Manufacturing Engineering,General Chemical Engineering,General Chemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.iecr.1c02107

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1. A new integrated framework to estimate the climate change impacts of biomass utilization for biofuel in life cycle assessment