Zobrazeno 1 - 10
of 436
pro vyhledávání: '"Michael T. Klein"'
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Autor:
Robert S. Weber, Michael A. Reynolds
Publikováno v:
Energy & Fuels. 34:15079-15081
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::415b6013abc6adb1f9c4eec8d443987f
https://doi.org/10.1021/acs.energyfuels.0c03843
https://doi.org/10.1021/acs.energyfuels.0c03843
Autor:
Weber, Robert S., Reynolds, Michael A.
Publikováno v:
Energy & Fuels; December 2020, Vol. 34 Issue: 12 p15079-15081, 3p
Autor:
Daniel Bissing, Michael T. Klein, Radhakrishnan Angamuthu Chinnathambi, Daisy Flora Selvaraj, Prakash Ranganathan
Publikováno v:
IEEE Access, Vol 7, Pp 36833-36842 (2019)
Accurate forecast of the hourly spot price of electricity plays a vital role in energy trading decisions. However, due to the complex nature of the power system, coupled with the involvement of multi-variable, the spot prices are volatile and often d
Externí odkaz:
https://doaj.org/article/319cdb16dd6e4838b7efe5ebfeadd57c
Publikováno v:
Energy & Fuels. 34:15443-15447
The Delplot analysis for reaction network elucidation involves the use of plot of the selectivities to measured species as a function of reactant conversion. Highly reactive intermediates, such as,...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3ef59bfef4c7ffe3bd483deb914cf830
https://doi.org/10.1021/acs.energyfuels.0c02465
https://doi.org/10.1021/acs.energyfuels.0c02465
Autor:
Michael T. Klein, Hassan Alasiri
Publikováno v:
Energy & Fuels. 33:12685-12689
The kinetics of the hydrolysis of heavy hydrocarbons in supercritical water were probed using density function theory (DFT) and molecular dynamics (MD) simulation of the probe molecule dibenzyl eth...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8d27b9c9034842c454ff331881a0001f
https://doi.org/10.1021/acs.energyfuels.9b03138
https://doi.org/10.1021/acs.energyfuels.9b03138
Autor:
Michael T. Klein, Pratyush Agarwal
Publikováno v:
Energy & Fuels. 33:10372-10379
Strategies to reduce the computer time to access the information in molecular-level kinetic models (MLKMs) were evaluated. A triglyceride hydroprocessing MLKM was used to generate data sets for sma...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cf469f4dc8b8b9388b58e3e633dca857
https://doi.org/10.1021/acs.energyfuels.9b02250
https://doi.org/10.1021/acs.energyfuels.9b02250
Autor:
Sumit Khandalkar, Mayuresh Sahasrabudhe, Pratyush Agarwal, Michael T. Klein, Chandra Saravanan
Publikováno v:
Energy & Fuels. 33:10143-10158
A molecular-level kinetic model was constructed for a vacuum gas oil hydroprocessing unit. The feedstock molecule selection was based on typical arrangements of structural attributes in crude oil. ...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b779931000fee26bd42a712372cd9570
https://doi.org/10.1021/acs.energyfuels.9b02228
https://doi.org/10.1021/acs.energyfuels.9b02228
Publikováno v:
Energy & Fuels. 33:7377-7384
A molecular-level kinetic model was developed for triglyceride hydroprocessing. Triglyceride molecules were defined on the basis of the 8–22 carbon fatty acids commonly present in renewable diesel ...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::741a295ef9444f0349336d7fb2777948
https://doi.org/10.1021/acs.energyfuels.9b01309
https://doi.org/10.1021/acs.energyfuels.9b01309
Autor:
Yaming Jin, Abdullah M. Aitani, Muhammad Naseem Akhtar, Sulaiman S. Al-Khattaf, Omer Koseoglo, Michael T. Klein
Publikováno v:
Energy & Fuels. 33:3828-3843
The upgrading of light naphtha (C5–C6 stream) to gasoline blending components has been the subject of intensive research at both academic and industrial laboratories. The combination of high volati...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a487f29ecb13c9a029a45a6b0a8fa673
https://doi.org/10.1021/acs.energyfuels.9b00704
https://doi.org/10.1021/acs.energyfuels.9b00704