1 U N C L A S S I F I E D Modeling of Buoyant Plumes of Flammable Natural Gas John Hargreaves Analyst Safety Basis Technical Services Group LA-UR-12-21161.

Slides:



Advertisements
Similar presentations
KMT, Graham’s Law & Real Gases
Advertisements

Session 11: Modeling Dispersion of Chemical Hazards, using ALOHA 1 Modeling Dispersion of Chemical Hazards, using ALOHA Prepared by Dr. Erno Sajo, Associate.
First Law of Thermodynamics - Open Systems
Chapter 4 Mass and Energy Analysis of Control Volumes (Open Systems)
Dr. R. Nagarajan Professor Dept of Chemical Engineering IIT Madras Advanced Transport Phenomena Module 2 Lecture 5 Conservation Principles: Momentum &
Session 2, Unit 3 Atmospheric Thermodynamics
Fluids: Bernoulli’s Principle
Lecture 7 Water Vapor.
Gases and the Kinetic Molecular Theory. Speeds of gas molecules. For a single molecule. Kinetic energy is: KE = ½ mv 2 m = mass; v = velocity For a collection.
Module 9 Atmospheric Stability Photochemistry Dispersion Modeling.
1 AirWare : R elease R5.3 beta AERMOD/AERMET DDr. Kurt Fedra Environmental Software & Services GmbH A-2352 Gumpoldskirchen AUSTRIA
Mass and Energy Analysis of Control Volumes. 2 Conservation of Energy for Control volumes The conservation of mass and the conservation of energy principles.
Formula sheet No explanation is made on purpose Do not assume that you need to use every formula In this test always assume that K entrance = 0.5, K exit.
D A C B z = 20m z=4m Homework Problem A cylindrical vessel of height H = 20 m is filled with water of density to a height of 4m. What is the pressure at:
Toxic Release and Dispersion Models
Gases and the Kinetic Molecular Theory. Speeds of gas molecules. For a single molecule. Kinetic energy is: KE = ½ mv 2 m = mass; v = velocity For a collection.
Calculation of wildfire Plume Rise Bo Yan School of Earth and Atmospheric Sciences Georgia Institute of Technology.
1 Omowumi Alabi Department of Geosciences University of Missouri-Kansas City Kansas City, MO.
Department of Mechanical Engineering ME 322 – Mechanical Engineering Thermodynamics Lecture 31 Ideal Gas Mixtures.
Wind Driven Circulation I: Planetary boundary Layer near the sea surface.
Radionuclide dispersion modelling
PFR design. Accounting for pressure drop Chemical Reaction Engineering I Aug Dec 2011 Dept. Chem. Engg., IIT-Madras.
Monin-Obukhoff Similarity Theory
Chapter 13: Temperature and Ideal Gas
Air Chemistry GISAT 112. Scientific and Technical Concepts Phases of airborne matter- gases, particles Inorganic and organic chemicals Balancing chemical.
Chapter 4 – Source Models
METR and 13 February Introduction What is thermodynamics? Study of energy exchange between a system and its surroundings In meteorology,
Stack Design Done by Eng. Mohamed AbdElRhaman. Content Definition of the stack Applications of stack Dispersion Model Selection of stack design Conclusion.
Lecture 2 Single Phase Flow Concepts
Session 4, Unit 7 Plume Rise
AMBIENT AIR CONCENTRATION MODELING Types of Pollutant Sources Point Sources e.g., stacks or vents Area Sources e.g., landfills, ponds, storage piles Volume.
Dispersion of Air Pollutants The dispersion of air pollutants is primarily determined by atmospheric conditions. If conditions are superadiabatic a great.
Chapter 5: Gases Renee Y. Becker Valencia Community College CHM
Preview Lesson Starter Objectives Measuring and Comparing the Volumes of Reacting GasesMeasuring and Comparing the Volumes of Reacting Gases Avogadro’s.
EXTROVERTSpace Propulsion 02 1 Thrust, Rocket Equation, Specific Impulse, Mass Ratio.
A Numerical / Analytical Model of Hydrogen Release and Mixing in Partially Confined Spaces Kuldeep Prasad, William Pitts and Jiann Yang Fire Research Division.
Quasi - One Dimensional Flow with Heat Addition P M V Subbarao Professor Mechanical Engineering Department I I T Delhi A Gas Dynamic Model for Combustion.
Explosion An explosion is a rapid expansion of gases resulting in a rapid moving pressure or shock wave. The expansion can be mechanical or it can be.
ICHS, September 2007 On The Use Of Spray Systems: An Example Of R&D Work In Hydrogen Safety For Nuclear Applications C. Joseph-Auguste 1, H. Cheikhravat.
Chapter 09Slide 1 Gases: Their Properties & Behavior 9.
Session 3, Unit 5 Dispersion Modeling. The Box Model Description and assumption Box model For line source with line strength of Q L Example.
Chapter 5 Gases.
1 The structure and evolution of stars Lecture 3: The equations of stellar structure.
Chapter 5 – Gases. In Chapter 5 we will explore the relationship between several properties of gases: Pressure: Pascals (Pa) Volume: m 3 or liters Amount:
Experimental and numerical studies on the bonfire test of high- pressure hydrogen storage vessels Prof. Jinyang Zheng Institute of Process Equipment, Zhejiang.
Types of Models Marti Blad Northern Arizona University College of Engineering & Technology.
Consequence Analysis 2.2.
Example 2 Chlorine is used in a particular chemical process. A source model study indicates that for a particular accident scenario 1.0 kg of chlorine.
Preview Lesson Starter Objectives Measuring and Comparing the Volumes of Reacting GasesMeasuring and Comparing the Volumes of Reacting Gases Avogadro’s.
Meteorology for modeling AP Marti Blad PhD PE. Meteorology Study of Earth’s atmosphere Weather science Climatology and study of weather patterns Study.
 p and  surfaces are parallel =>  =  (p) Given a barotropic and hydrostatic conditions, is geostrophic current. For a barotropic flow, we have and.
Practice Problems Chang, Chapter 5 Gasses. 5.2 Pressure of a Gas 1 Convert 749 mmHg to atmospheres.
Flow of Compressible Fluids. Definition A compressible flow is a flow in which the fluid density ρ varies significantly within the flowfield. Therefore,
Chapter 5 Gases. Air Pressure & Shallow Wells Gases Are mostly empty space Occupy containers uniformly and completely The densities of gases are much.
Chapter 1: Basic Concepts
PERFORMANCE OBJECTIVES Predict, write, and balance chemical equations Recognize types of reactions Use the Kinetic Molecular Theory explain the relationship.
Shock waves and expansion waves Rayleigh flow Fanno flow Assignment
Oil and Gas Technology Program Oil and Gas Technology Program PTRT 2323 Natural Gas Production Chapter 1 Characteristics of Natural Gas.
Tsinghua University, Beijing, China
For a barotropic flow, we have is geostrophic current.
Chapter 5 The First Law of Thermodynamics for Opened Systems
Chapter 5 Mass and Energy Analysis of Control Volumes Study Guide in PowerPoint to accompany Thermodynamics: An Engineering Approach, 6th edition.
PURPOSE OF AIR QUALITY MODELING Policy Analysis
Natural and Forced Ventilation of Buoyant Gas Released in a Full-Scale Garage : Comparison of Model Predictions and Experimental Data Kuldeep Prasad, William.
CFD computations of liquid hydrogen releases
Wind Velocity One of the effects of wind speed is to dilute continuously released pollutants at the point of emission. Whether a source is at the surface.
Section 3 Gas Volumes and the Ideal Gas Law
27. Compressible Flow CH EN 374: Fluid Mechanics.
COMBUSTION ENGINEERING
Presentation transcript:

1 U N C L A S S I F I E D Modeling of Buoyant Plumes of Flammable Natural Gas John Hargreaves Analyst Safety Basis Technical Services Group LA-UR

2 U N C L A S S I F I E D Calculation of Natural Gas (NG) Hazards Analysis of natural gas (NG) explosions are required in support of safe nuclear operations This presentation will be based on work done analyzing NG hazards near LANL’s anticipated construction of a new TRU waste facility (TWF)

3 U N C L A S S I F I E D Analysis of the NG Hazard Analysis of an NG hazard requires: Identification of suitable simplifying assumptions and the geometry of the problem Selection of an analytical method or model Determination of an NG source term Characterization of a trajectory and flammable content of NG plume Calculation of the hazard potential of deflagration or detonation of the NG plume

4 U N C L A S S I F I E D Assumptions and Limitations The analysis of an NG hazard requires assumptions to define the problem: Modeling of natural gas Definition of the NG source term Modeling of plume, plume rise, and atmospheric conditions Limitations of modeling an NG plume

5 U N C L A S S I F I E D Modeling Natural Gas Natural Gas can be modeled as pure methane NG is primarily methane (80 per cent or higher). The natural gas used at LANL averages between 96 and 97 percent methane. Higher fractions, e.g., butane, ethane, and propane, are separated by the vendor prior to delivery. Other constituents such as carbon dioxide, hydrogen sulfide, and nitrogen are also often removed, but may remain in trace quantities. Comparatively small molecule allows use of the ideal gas law [pv = nRT]

6 U N C L A S S I F I E D Definition of NG Source Term Source can be a pipeline or a storage tank Pipeline flow may be treated as compressible and friction-limited Pipeline diameter, pipeline length, pressure, pipe roughness, and Fanning friction factor. Assumption on ambient pipeline temperature required. Determine conditions of flow, exit temperature, Mach number, flow density, total mass flux and volumetric flow Existing NG Pipeline Adjacent to TWF

7 U N C L A S S I F I E D Definition of NG Source Term Solve for Mach number and exit pressure of flow numerically Determine flow condition; i.e., choked or unchoked Determine density of exit flow; this indicates buoyancy

8 U N C L A S S I F I E D Modeling a Buoyant Plume Plumes can be modeled as Gaussian, Top-Hat, or Non- Gaussian A Gaussian model assumes plume properties follow a Gaussian distribution over the plume cross section A Top-Hat model assumes properties are constant over the cross section Models are based on equations for conservation of fuel mass, total mass, and momentum Comparisons of these show top-hat and Gaussian models give very similar results

9 U N C L A S S I F I E D Modeling a Buoyant Plume Briggs and Hanna developed theory for vertical and bent-over plumes Plume rise divides into momentum- and buoyancy- dominated flow Based on initial momentum flux and buoyancy flux Plume rise is usually dominated early (up to 5 to 10 seconds) by momentum If advecting wind velocity is 1 m/s or less, plume assumed to be vertical Vertical rise and bent-plume trajectories determined by the formulae: where u is the advecting wind velocity

10 U N C L A S S I F I E D Limitations Modeling a Buoyant Plume Calculation of an exit velocity of the plume is geometry or “constant” dependent Terrain surface roughness can not be taken into account Gaussian distributions may not be accurate, especially in low wind velocities Building wake effects are ignored Localized air turbulence, aerosolization, gaseous depolymerization, water vapor reactions forming new products, or significant evaporation or condensation These last effects are more typical of heavier species of gas and not natural gas (methane)

11 U N C L A S S I F I E D Plume Trajectory Plots 30 m Standoff; 3-Inch Line

12 U N C L A S S I F I E D 3-D Plume Trajectory Plot (50 m)

13 U N C L A S S I F I E D Tying Together Pasquill Stability, Turner Air Concentrations and Slade Power Law Approximations

14 U N C L A S S I F I E D Plotting Concentration, Wind Speed, and Pasquill Stability Class Together (30 m)

15 U N C L A S S I F I E D 30 m Standoff Distance a Problem

16 U N C L A S S I F I E D Plotting Concentration, Wind Speed, and Pasquill Stability Class Together (50 m)

17 U N C L A S S I F I E D Determining Conservative Values for Explosive Overpressures Overpressure can be calculated using the TNT-equivalent method Assume a cylindrical plume and assume a 9 v/o air/methane mix Very conservative approach, but has value in possibly bounding the analysis New theory by Epstein and Fauske allows more precise calculation of total mass of flammable gas released in a vertical plume