Extreme weather events, including fires, heatwaves(HWs), and droughts, have significant impacts on earth, environmental, and power energy systems. Mechanistic and predictive understanding, as well as probabilistic risk assessment of these extreme weather events, are crucial for detecting, planning...
Filter results
Content type
Tags
- (-) Extreme weather (1)
- (-) Hydrothermal Liquefaction (1)
- Bacterial Persistence (1)
- Bacterial Signaling (1)
- Bioenergy Production (1)
- Data inventory (1)
- Droughts (1)
- Fires (1)
- Heat Exchanger (1)
- Heatwaves (1)
- High-Performance Computing (1)
- Imaging (1)
- Machine Learning (1)
- Mass Spectrometry (1)
- Metabolic Networks (1)
- ML/AI (1)
- Omics (1)
- PerCon SFA (1)
- Predictive Modeling (1)
- Spectroscopy (1)
- Tomography (1)
- Wet Waste (1)
Showing 1 - 2 of 2
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...