SEARCH · Engineering Papers
Results for “Predictive modeling”
Search indexed NASA NTRS and DOE OSTI research on propulsion, heat transfer, battery materials and energy systems. Follow report and document links to the original sources.
Quote a phrase for an exact phrase match. Source license links do not imply unrestricted reuse.
Operational safety of an ammonia process network via model predictive control
Not Available
Operational safety via model predictive control: The Torrance refinery accident revisited
Not Available
Machine learning-based model predictive control of diffusion-reaction processes
Not Available
Model predictive control of nonlinear processes using transfer learning-based recurrent neural networks
Not Available
Process operational safety using model predictive control based on a process Safeness Index
Not Available
Process operational safety via model predictive control: Recent results and future research directions
Not Available
Sparse-identification-based model predictive control of nonlinear two-time-scale processes
Not Available
A tutorial review of neural network modeling approaches for model predictive control
Not Available
Using chemical structure information to develop predictive models for in vitro toxicokinetic parameters to inform high-throughput risk-assessment
Not Available
Model predictive control of an electrically-heated steam methane reformer
Not Available
Estimation-based model predictive control of an electrically-heated steam methane reforming process
Not Available
Development, implementation, and impact analysis of model predictive control-based optimal precooling using smart home thermostats
Not provided.
A kW-scale, 24-hour continuously operational, radiative sky cooling system: Experimental demonstration and predictive modeling
With the advancement in sub-ambient cooling of water during daytime under the sun with scalable-manufactured radiative cooling metamaterials, the challenge for applications lies in design and building of large-scale radiative cooling systems. Here, we present a kW-scale, 24-hour continuously operational, radiative sky cooling system, with both experimental study and detailed modeling. We first quantitatively show how water flow rate directly affects the system cooling power and inversely affects the water temperature drop. A day-and-night stagnant (flow rate = 0 L/(min·m 2 )) water cooling test of the system shows a consistent sub-ambient water temperature drop of 5–7 °C. A daytime cooling test of the system at a low flow rate of 0.227 L/(min·m 2 ) yields a maximum sub-ambient temperature drop of 4.0 °C with an average net cooling power of around 80 W/m 2 . Further modelling for a typical metrological year (in Phoenix, Arizona) shows that the system could generate as much as 350 kWh cold (or 26 kWh/m 2 ) with a sub-ambient temperature drop of 4–5 °C at a low flow rate of 0.1 L/(min·m 2 ) during a typical summer month. The cold generated could be used to assist AC systems in regions or seasons with high ambient temperatures.