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Title: MHTLS Cross-flow Heat Exchanger Temperature Performance Data

Abstract

The presentation and supporting information provide data on the performance of an engineering-scale cross-flow heat exchanger used in hydrothermal liquefaction (HTL). Temperature profiles are provide for the process of waste water treatment sludges and a food waste. The data can be used to model larger-scale heat exchangers used in HTL.

Authors:

  1. Pacific Northwest National Laboratory (PNNL), Richland, WA (United States); Pacific Northwest National Laboratory
Publication Date:
Other Number(s):
PNNL-SA-182700
DOE Contract Number:  
AC05-76RL01830
Research Org.:
Pacific Northwest National Laboratory (PNNL), Richland, WA (United States)
Sponsoring Org.:
USDOE Office of Energy Efficiency and Renewable Energy (EERE), Office of Sustainable Transportation. Bioenergy Technologies Office (BETO)
Subject:
09 BIOMASS FUELS; HTL MHTLS; Heat Exchanger; Hydrothermal Liquefaction; hydrothermal processing; temperature
OSTI Identifier:
2476481
DOI:
https://doi.org/10.25584/2476481

Citation Formats

Schmidt, Andrew J. MHTLS Cross-flow Heat Exchanger Temperature Performance Data. United States: N. p., 2023. Web. doi:10.25584/2476481.
Schmidt, Andrew J. MHTLS Cross-flow Heat Exchanger Temperature Performance Data. United States. doi:https://doi.org/10.25584/2476481
Schmidt, Andrew J. 2023. "MHTLS Cross-flow Heat Exchanger Temperature Performance Data". United States. doi:https://doi.org/10.25584/2476481. https://www.osti.gov/servlets/purl/2476481. Pub date:Fri Mar 10 04:00:00 UTC 2023
@article{osti_2476481,
title = {MHTLS Cross-flow Heat Exchanger Temperature Performance Data},
author = {Schmidt, Andrew J},
abstractNote = {The presentation and supporting information provide data on the performance of an engineering-scale cross-flow heat exchanger used in hydrothermal liquefaction (HTL). Temperature profiles are provide for the process of waste water treatment sludges and a food waste. The data can be used to model larger-scale heat exchangers used in HTL.},
doi = {10.25584/2476481},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Fri Mar 10 04:00:00 UTC 2023},
month = {Fri Mar 10 04:00:00 UTC 2023}
}