DOE/INL—JAEA Collaboration: HTTR Secondary System Modeling
Summary of INL-JAEA collaborative work on high temperature gas-cooled reactors utilized for hydrogen production.
08 HYDROGEN↗
SEARCH · Engineering Papers
Results for “DISPATCHES”
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.
Data and Multistage Optimization for the New Grid
Three essential capabilities for using exascale computing resources on next generation power grid applications are: generating large renewable energy datasets, modeling damage and operations during and after extreme events, and employing multi-stage optimization for infrastructure planning. Powerscenarios, developed as part of the ExaSGD project, addresses these capabilities by enabling users to build synthetic wind farms for large test systems using numerical weather prediction-based data sources. We share examples of using Powerscenarios to build out wind farms on the ACTIVSg2000 test system, to enable simulated operations and emergency asset allocation during a hurricane strike, and to compute multi-stage infrastructure buildouts.
economic dispatch↗
A Thermally-Driven Transcritical CO2 Heat Pump for Upgrading LWR-Grade Heat to High Temperatures
Explore the source record for details and available documents.
22 GENERAL STUDIES OF NUCLEAR REACTORS↗
Evolution of Scenario Generation Capabilities in the ExaSGD Project
High-fidelity renewable energy scenarios and rare-event high-impact contingencies are essential for modeling operations and infrastructure expansion of the next generation power grids using exascale computing resources. As the ExaSGD project progressed, our capabilities for generating scenarios for modeling wind power output at multiple wind farms significantly improved, evolving from the use of independent random perturbations to importance sampling-based techniques capturing representative spatial-temporal relations. Contingency generation also improved, evolving from standard N-1 techniques to probabilistic models of infrastructure damage resulting from extreme weather events. We review the developments in the realistic intermittent-energy scenario forecasting and extreme-event contingency creation as the ExaSGD project progressed and discuss the future work in these areas.
economic dispatch↗
GFM Inverter Interoperability Through Hardware Testing
This presentation highlights the individual unit testing results of the UNIFI 1MW multi-vendor GFM inverter testing.
black start↗
Bidding Curve Design for Hybrid Power Plants with Uncertain Solar Forecast: Preprint
This paper presents a novel bidding curve design algorithm tailored for hybrid power plants (HPPs) to participate in the wholesale electricity market. Utilizing forecasts for photovoltaic (PV) generation and available battery power, our algorithm strategically computes the bidding curve to maximize HPP profit while adeptly managing the inherent uncertainty associated with PV power generation. In addition, the introduction of the penalty cost in HPP bidding curves provides the system operator a tool to effectively manage the system-level uncertainty that caused by HPPs. Numerical analysis through Monte Carlo simulations confirms that our bidding curve methodology outperforms the benchmark across various scenarios.
bidding curve↗