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Dataset for techno-economic analysis of catalytic hydrothermolysis pathway for jet fuel production

This detail the economics of Catalytic Hydrothermolysis (CH), an approve pathway for sustainable aviation fuel (SAF) production. Techno-economic analysis was conducted with the assumption of CH processing facility that process 832 metric tonnes per day of feedstock into renewable fuels such as SAF,...

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Autores principales: Eswaran, Sudha, Subramaniam, Senthil, Geleynse, Scott, Brandt, Kristin, Wolcott, Michael, Zhang, Xiao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8586694/
https://www.ncbi.nlm.nih.gov/pubmed/34805454
http://dx.doi.org/10.1016/j.dib.2021.107514
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author Eswaran, Sudha
Subramaniam, Senthil
Geleynse, Scott
Brandt, Kristin
Wolcott, Michael
Zhang, Xiao
author_facet Eswaran, Sudha
Subramaniam, Senthil
Geleynse, Scott
Brandt, Kristin
Wolcott, Michael
Zhang, Xiao
author_sort Eswaran, Sudha
collection PubMed
description This detail the economics of Catalytic Hydrothermolysis (CH), an approve pathway for sustainable aviation fuel (SAF) production. Techno-economic analysis was conducted with the assumption of CH processing facility that process 832 metric tonnes per day of feedstock into renewable fuels such as SAF, gasoline and diesel. Economic data includes estimation of renewable fuel production plant cost such as capital and operating cost; cost benefit analysis model to predict the SAF or jet fuel price; regression models to evaluate the cost for co-product such as diesel and petroleum in relation to SAF price. Estimated SAF, gasoline and diesel cost for the feedstock such as carinata oil, soybean oil, yellow grease and brown grease feedstock is included in the data.
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spelling pubmed-85866942021-11-19 Dataset for techno-economic analysis of catalytic hydrothermolysis pathway for jet fuel production Eswaran, Sudha Subramaniam, Senthil Geleynse, Scott Brandt, Kristin Wolcott, Michael Zhang, Xiao Data Brief Data Article This detail the economics of Catalytic Hydrothermolysis (CH), an approve pathway for sustainable aviation fuel (SAF) production. Techno-economic analysis was conducted with the assumption of CH processing facility that process 832 metric tonnes per day of feedstock into renewable fuels such as SAF, gasoline and diesel. Economic data includes estimation of renewable fuel production plant cost such as capital and operating cost; cost benefit analysis model to predict the SAF or jet fuel price; regression models to evaluate the cost for co-product such as diesel and petroleum in relation to SAF price. Estimated SAF, gasoline and diesel cost for the feedstock such as carinata oil, soybean oil, yellow grease and brown grease feedstock is included in the data. Elsevier 2021-10-27 /pmc/articles/PMC8586694/ /pubmed/34805454 http://dx.doi.org/10.1016/j.dib.2021.107514 Text en © 2021 The Authors. Published by Elsevier Inc. https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Data Article
Eswaran, Sudha
Subramaniam, Senthil
Geleynse, Scott
Brandt, Kristin
Wolcott, Michael
Zhang, Xiao
Dataset for techno-economic analysis of catalytic hydrothermolysis pathway for jet fuel production
title Dataset for techno-economic analysis of catalytic hydrothermolysis pathway for jet fuel production
title_full Dataset for techno-economic analysis of catalytic hydrothermolysis pathway for jet fuel production
title_fullStr Dataset for techno-economic analysis of catalytic hydrothermolysis pathway for jet fuel production
title_full_unstemmed Dataset for techno-economic analysis of catalytic hydrothermolysis pathway for jet fuel production
title_short Dataset for techno-economic analysis of catalytic hydrothermolysis pathway for jet fuel production
title_sort dataset for techno-economic analysis of catalytic hydrothermolysis pathway for jet fuel production
topic Data Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8586694/
https://www.ncbi.nlm.nih.gov/pubmed/34805454
http://dx.doi.org/10.1016/j.dib.2021.107514
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