Risk Analysis and Modeling to Improve Hydrogen Fuel Cell Vehicle Repair Garages
Abstract not provided.
Publications
Risk Assessment and Ventilation Modeling for Hydrogen Vehicle Repair Garages
Abstract not provided.
Comparison of Field Measurements and Large Eddy Simulations of the Scaled Wind Farm Technology (SWiFT) Site
Abstract not provided.
COMPARISON OF FIELD MEASUREMENTS AND LARGE EDDY SIMULATIONS OF THE SCALED WIND FARM TECHNOLOGY (SWIFT) SITE
Abstract not provided.
Modeling of Ventilation Strategies for CNG Vehicles
Abstract not provided.
Overview and Development of Alternative Fuels Risk Assessment Models (AltRAM)
Abstract not provided.
Risk Analysis and Modeling to Improve Hydrogen Fuel Cell Vehicle Repair Garages
Abstract not provided.
Hydrogen Quantitative Risk Assessment
Abstract not provided.
Overview and recent developments for the hydrogen risk assessment models (HYRAM) toolkit
Center for Hydrogen Safety Conference 2019
Abstract not provided.
Comparison of field measurements and large eddy simulations of the scaled wind farm technology (SWIFT) site
ASME-JSME-KSME 2019 8th Joint Fluids Engineering Conference, AJKFluids 2019
Power production of the turbines at the Department of Energy/Sandia National Laboratories Scaled Wind Farm Technology (SWiFT) facility located at the Texas Tech University’s National Wind Institute Research Center was measured experimentally and simulated for neutral atmospheric boundary layer operating conditions. Two V27 wind turbines were aligned in series with the dominant wind direction, and the upwind turbine was yawed to investigate the impact of wake steering on the downwind turbine. Two conditions were investigated, including that of the leading turbine operating alone and both turbines operating in series. The field measurements include meteorological evaluation tower (MET) data and light detection and ranging (lidar) data. Computations were performed by coupling large eddy simulations (LES) in the three-dimensional, transient code Nalu-Wind with engineering actuator line models of the turbines from OpenFAST. The simulations consist of a coarse precursor without the turbines to set up an atmospheric boundary layer inflow followed by a simulation with refinement near the turbines. Good agreement between simulations and field data are shown. These results demonstrate that Nalu-Wind holds the promise for the prediction of wind plant power and loads for a range of yaw conditions.
Mixing of Liquid Methane Releases
Abstract not provided.
Effects of Viscosity on Turbulence Mixing in Pilot Scale Open Raceway Ponds
Abstract not provided.
Hydrogen Quantitative Risk Assessment
DOE has identified consistent safety, codes, and standards as a critical need for the deployment of hydrogen technologies, with key barriers related to the availability and implementation of technical information in the development of regulations, codes, and standards. Advances in codes and standards have been enabled by risk-informed approaches to create and implement revisions to codes, such as National Fire Protection Association (NFPA) 2, NFPA 55, and International Organization for Standardization (ISO) Technical Specification (TS)-19880-1. This project provides the technical basis for these revisions, enabling the assessment of the safety of hydrogen fuel cell systems and infrastructure using QRA and physics-based models of hydrogen behavior. The risk and behavior tools that are developed in this project are motivated by, shared directly with, and used by the committees revising relevant codes and standards, thus forming the scientific basis to ensure that code requirements are consistent, logical, and defensible.
Natural Gas Vehicles Facility Analysis
Abstract not provided.
Risk Analysis and Modeling to Improve Hydrogen Fuel Cell Vehicle Repair Garage Codes and Standards
Abstract not provided.
Quantitative Risk Analysis to Guide Station Design
Abstract not provided.
Quantitative Risk Analysis of Hydrogen Transport Through Tunnels
Abstract not provided.
Risk Analysis and Modeling to Improve Hydrogen Fuel Cell Vehicle Repair Garages
Abstract not provided.
H2 Fuel Cell Vehicle Repair Garage
Abstract not provided.
𝑯_𝟐 Fuel Cell Vehicle Repair Garage
Abstract not provided.
Weather and Location Effects on a 1D Algae Growth Model
Abstract not provided.
Multi-level Uncertainty Quantification of a Wind Turbine Large Eddy Simulation Model
Abstract not provided.
Risk Analysis and Modeling to Improve Hydrogen Fuel Cell Vehicle Repair Garages
Abstract not provided.
Enabling Hydrogen Infrastructure Through Science-based Codes and Standards
Abstract not provided.
Analyses in Support of Risk-Informed Natural Gas Vehicle Maintenance Facility Codes and Standards: Phase II
Safety standards development for maintenance facilities of liquid and compressed natural gas fueled vehicles is required to ensure proper facility design and operating procedures. Standard development organizations are utilizing risk-informed concepts to develop natural gas vehicle (NGV) codes and standards so that maintenance facilities meet acceptable risk levels. The present report summarizes Phase II work for existing NGV repair facility code requirements and highlights inconsistencies that need quantitative analysis into their effectiveness. A Hazardous and Operability study was performed to identify key scenarios of interest using risk ranking. Detailed simulations and modeling were performed to estimate the location and behavior of natural gas releases based on these scenarios. Specific code conflicts were identified, and ineffective code requirements were highlighted and resolutions proposed. These include ventilation rate basis on area or volume, as well as a ceiling offset which seems ineffective at protecting against flammable gas concentrations. ACKNOWLEDGEMENTS The authors gratefully acknowledge Bill Houf (SNL -- Retired) for his assistance with the set-up and post-processing of the numerical simulations. The authors also acknowledge Doug Horne (retired) for his helpful discussions. We would also like to acknowledge the support from the Clean Cities program of DOE's Vehicle Technology Office.
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