Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Design Example: Creating a Hydraulic Model of a Dam Spillway01:21

Design Example: Creating a Hydraulic Model of a Dam Spillway

Scaled hydraulic models of dam spillways provide a practical way to replicate and study the intricate flow dynamics of these structures. Often built to a 1:15 ratio, these models allow for observing critical water behavior, such as velocity distribution, flow patterns, and energy dissipation.
The Joule and Joule–Thomson Experiments01:23

The Joule and Joule–Thomson Experiments

Consider an adiabatic system composed of two chambers, A and B, designed such that no heat flows into or out of the system. Initially, chamber A is filled with a gas at a fixed temperature T1, pressure p1, and volume V1, while chamber B is evacuated. The gas is then gradually forced through a rigid, porous barrier to chamber B, ultimately reaching temperature T2, pressure p2, and volume V2. A piston on the right side maintains a constant pressure (p2), which is lower than p1. The significant...
Typical Model Studies01:30

Typical Model Studies

Fluid mechanics model studies often utilize scaled-down systems to predict fluid behavior in full-scale environments, such as river flows, dam spillways, and structures interacting with open surfaces. Maintaining Froude number similarity in river models is crucial, as it replicates surface flow features like wave patterns and velocities.
Modeling and Similitude01:12

Modeling and Similitude

Scaled modeling is a fundamental technique in engineering, enabling the study of large and complex systems by creating smaller, manageable replicas that recreate critical characteristics of the original. In hydrology and civil infrastructure, for example, scaled models of dams help analyze water flow, turbulence, and pressure. This method allows for accurate predictions of real-world behavior within a controlled environment, significantly reducing the cost and time involved in full-scale...
Distillation: Vapor–Liquid Equilibria01:01

Distillation: Vapor–Liquid Equilibria

Distillation is a separation technique that takes advantage of the boiling point properties of disparate elements in a mixture. To perform distillation, we begin by heating a miscible mixture of two liquids with a significant difference in boiling points (at least 20°C). As the solution heats up and reaches the bubble point of the more volatile component, some molecules of the more volatile component transition into the gas phase and travel upward into the condenser, which is a glass tube with...
Two Components: Liquid–Liquid Systems01:27

Two Components: Liquid–Liquid Systems

A pressure-composition phase diagram explicitly describes the behavior of an ideal solution of two volatile liquids under varying pressures and compositions. A pressure-composition diagram has two main curves. The bubble point curve represents the plot of pressure versus liquid mole fraction. It indicates the pressure at which the first bubble of vapor forms from the liquid phase as the system pressure decreases.The dew point curve is the pressure versus vapor mole fraction. It indicates the...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Validation of two models for discharge rate.

Journal of hazardous materials·2009
See all related articles

Related Experiment Video

Updated: Jul 18, 2026

Coupling Carbon Capture from a Power Plant with Semi-automated Open Raceway Ponds for Microalgae Cultivation
08:17

Coupling Carbon Capture from a Power Plant with Semi-automated Open Raceway Ponds for Microalgae Cultivation

Published on: August 14, 2020

Coupling dynamic blow down and pool evaporation model for LNG.

John L Woodward1

  • 1Baker Engineering and Risk Consultants, Inc., 3330 Oakwell Court, Suite 100, San Antonio, TX 78218-3024, United States. woodward@wbeng.com

Journal of Hazardous Materials
|December 23, 2006
PubMed
Summary

Accidental liquefied natural gas (LNG) spills are better predicted using a dynamic evaporation model that accounts for time-varying discharge (blow down) and pool ignition. These factors significantly influence the maximum pool radius and spread dynamics.

More Related Videos

A Modeling and Simulation Method for Preliminary Design of an Electro-Variable Displacement Pump
09:04

A Modeling and Simulation Method for Preliminary Design of an Electro-Variable Displacement Pump

Published on: June 1, 2022

Optimize Flue Gas Settings to Promote Microalgae Growth in Photobioreactors via Computer Simulations
14:33

Optimize Flue Gas Settings to Promote Microalgae Growth in Photobioreactors via Computer Simulations

Published on: October 1, 2013

Related Experiment Videos

Last Updated: Jul 18, 2026

Coupling Carbon Capture from a Power Plant with Semi-automated Open Raceway Ponds for Microalgae Cultivation
08:17

Coupling Carbon Capture from a Power Plant with Semi-automated Open Raceway Ponds for Microalgae Cultivation

Published on: August 14, 2020

A Modeling and Simulation Method for Preliminary Design of an Electro-Variable Displacement Pump
09:04

A Modeling and Simulation Method for Preliminary Design of an Electro-Variable Displacement Pump

Published on: June 1, 2022

Optimize Flue Gas Settings to Promote Microalgae Growth in Photobioreactors via Computer Simulations
14:33

Optimize Flue Gas Settings to Promote Microalgae Growth in Photobioreactors via Computer Simulations

Published on: October 1, 2013

Area of Science:

  • Chemical Engineering
  • Safety Engineering
  • Environmental Science

Background:

  • Accurate prediction of liquefied natural gas (LNG) pool spread is crucial for assessing risks associated with accidental releases.
  • Existing models often simplify dynamic effects, potentially leading to unrealistic pool radius predictions.

Purpose of the Study:

  • To develop and present a dynamic pool evaporation model for liquefied natural gas (LNG) spills.
  • To incorporate the effects of time-varying discharge (blow down) and pool ignition into the model.

Main Methods:

  • The study introduces a two-regime dynamic pool evaporation model.
  • Regime 1: Momentum forces dominate, pool spread is independent of evaporation.
  • Regime 2: Heat transfer dominates as pool depth decreases, establishing final pool area.

Main Results:

  • Pool ignition significantly reduces the maximum pool area by increasing evaporation rates.
  • Accounting for blow down (time-varying discharge) increases the predicted maximum LNG pool extent compared to constant discharge rates.
  • The maximum pool extent predicted by the model is transient, occurring momentarily before retreating.

Conclusions:

  • Dynamic modeling, including blow down and ignition, is essential for realistic LNG spill predictions.
  • Ignition leads to smaller maximum pool sizes due to enhanced evaporation.
  • Blow down effects can temporarily increase pool size, but this is a transient phenomenon.