Real-time tracking of renewable carbon content with AI-aided approaches during co-processing of biofeedstocks-Reference-Cited by-同舟云学术

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Real-time tracking of renewable carbon content with AI-aided approaches during co-processing of biofeedstocks

Published:2024-04 Issue: Volume:360 Page:122815
ISSN:0306-2619
Container-title:Applied Energy
language:en
Short-container-title:Applied Energy

Author:

Cao Liang^ORCID,Su Jianping,Saddler Jack^ORCID,Cao Yankai^ORCID,Wang Yixiu,Lee Gary,Siang Lim C.^ORCID,Pinchuk Robert,Li Jin,Gopaluni R. Bhushan

Funder

Mitacs

Publisher

Elsevier BV

Reference26 articles.

1. Global energy review 2021;Agency,2021

2. Net zero by 2050;Agency,2021

3. Challenges in determining the renewable content of the final fuels after co-processing biogenic feedstocks in the fluid catalytic cracker (FCC) of a commercial oil refinery;Su;Fuel,2021

4. From biomass to bio-gasoline by FCC co-processing: effect of feed composition and catalyst structure on product quality;Fogassy;Energy Environ Sci,2011

5. Hydrothermal liquefaction of sludge and biomass residues;Elliott,2020

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