Dataset for techno-economic analysis of catalytic hydrothermolysis pathway for jet fuel production
Sudha Eswaran,
Senthil Subramaniam,
Scott Geleynse,
Kristin Brandt,
Michael Wolcott,
Xiao Zhang
Affiliations
Sudha Eswaran
Bioproducts Sciences and Engineering Laboratory, Washington State University, 2710 Crimson Way, Richland WA 99354 United States; Voiland School of Chemical Engineering and Bioengineering, Washington State University United States
Senthil Subramaniam
Bioproducts Sciences and Engineering Laboratory, Washington State University, 2710 Crimson Way, Richland WA 99354 United States; Voiland School of Chemical Engineering and Bioengineering, Washington State University United States
Scott Geleynse
Bioproducts Sciences and Engineering Laboratory, Washington State University, 2710 Crimson Way, Richland WA 99354 United States; Voiland School of Chemical Engineering and Bioengineering, Washington State University United States
Kristin Brandt
Composite Materials Engineering Centre, Washington State University, P.O. Box 645815, Pullman WA 99164 United States
Michael Wolcott
Composite Materials Engineering Centre, Washington State University, P.O. Box 645815, Pullman WA 99164 United States
Xiao Zhang
Bioproducts Sciences and Engineering Laboratory, Washington State University, 2710 Crimson Way, Richland WA 99354 United States; Voiland School of Chemical Engineering and Bioengineering, Washington State University United States; Corresponding author.
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.