scholarly journals Analyses of LPG Dispersion During Its Accidental Release in Enclosed Car Parks

2017 ◽  
Vol 24 (2) ◽  
pp. 249-261
Author(s):  
Dorota Brzezińska ◽  
Marek Dziubiński ◽  
Adam S. Markowski

Abstract Despite the fact that LPG (Liquefied Petroleum Gas) is used in a large number of cars, tests have not yet been carried out to ascertain how hazardous can be the release of LPG from the car when parked in enclosed garages. The problem applies to both public and industrial parking areas, especially in Poland, where more than 10% cars are fueled by LPG. The paper describes full scale experiments, which demonstrate conditions that may occur in a garage in the event of accidental LPG release from the car installation. Over the course of the tests, a series of six LPG spillage tests were performed to study emission time and flammable cloud formation depending on the accidental gap diameter. Additionally, to enable the visual observation of the gas dispersion and influence of the ventilation system the experiment was conducted using well visible CO2 gas cloud, produced from dry ice. The experiments have shown that without ventilation LPG can accumulate on the floor of the enclosed garage for a long time, which generates a high explosive hazard. However, good ventilation (especially jet fan systems) can quickly remove hazardous flammable LPG clouds. Moreover, very important for effective LPG detection is the location of detectors closer to the floor than is currently recommended - at a height of 30 cm.

Sensors ◽  
2021 ◽  
Vol 21 (11) ◽  
pp. 3625
Author(s):  
Mateusz Krzysztoń ◽  
Ewa Niewiadomska-Szynkiewicz

Intelligent wireless networks that comprise self-organizing autonomous vehicles equipped with punctual sensors and radio modules support many hostile and harsh environment monitoring systems. This work’s contribution shows the benefits of applying such networks to estimate clouds’ boundaries created by hazardous toxic substances heavier than air when accidentally released into the atmosphere. The paper addresses issues concerning sensing networks’ design, focussing on a computing scheme for online motion trajectory calculation and data exchange. A three-stage approach that incorporates three algorithms for sensing devices’ displacement calculation in a collaborative network according to the current task, namely exploration and gas cloud detection, boundary detection and estimation, and tracking the evolving cloud, is presented. A network connectivity-maintaining virtual force mobility model is used to calculate subsequent sensor positions, and multi-hop communication is used for data exchange. The main focus is on the efficient tracking of the cloud boundary. The proposed sensing scheme is sensitive to crucial mobility model parameters. The paper presents five procedures for calculating the optimal values of these parameters. In contrast to widely used techniques, the presented approach to gas cloud monitoring does not calculate sensors’ displacements based on exact values of gas concentration and concentration gradients. The sensor readings are reduced to two values: the gas concentration below or greater than the safe value. The utility and efficiency of the presented method were justified through extensive simulations, giving encouraging results. The test cases were carried out on several scenarios with regular and irregular shapes of clouds generated using a widely used box model that describes the heavy gas dispersion in the atmospheric air. The simulation results demonstrate that using only a rough measurement indicating that the threshold concentration value was exceeded can detect and efficiently track a gas cloud boundary. This makes the sensing system less sensitive to the quality of the gas concentration measurement. Thus, it can be easily used to detect real phenomena. Significant results are recommendations on selecting procedures for computing mobility model parameters while tracking clouds with different shapes and determining optimal values of these parameters in convex and nonconvex cloud boundaries.


Author(s):  
Q G Zheng ◽  
W Q Wu ◽  
M Song

The engine fuel piping in LNG-fuelled ships’ engine room presents potential gas explosion risks due to possible gas fuel leakage and dispersion. A 3D CFD model with chemical reaction was described, validated and then used to simulate the possible gas dispersion and the consequent explosions in an engine room with regulations commanded ventilations. The results show that, with the given minor leaking of a fuel pipe, no more than 1kg of methane would accumulate in the engine room. The flammable gas clouds only exit in limited region and could lead to explosions with an overpressure about 12 mbar, presenting no injury risk to personnel. With the given major leaking, large region in the engine room would be filled with flammable gas cloud within tens of seconds. The gas cloud might lead to an explosion pressure of about 1 bar or higher, which might result in serious casualties in the engine room.


2019 ◽  
Vol 161 (A3) ◽  

The engine fuel piping in LNG-fuelled ships’ engine room presents potential gas explosion risks due to possible gas fuel leakage and dispersion. A 3D CFD model with chemical reaction was described, validated and then used to simulate the possible gas dispersion and the consequent explosions in an engine room with regulations commanded ventilations. The results show that, with the given minor leaking of a fuel pipe, no more than 1kg of methane would accumulate in the engine room. The flammable gas clouds only exit in limited region and could lead to explosions with an overpressure about 12 mbar, presenting no injury risk to personnel. With the given major leaking, large region in the engine room would be filled with flammable gas cloud within tens of seconds. The gas cloud might lead to an explosion pressure of about 1 bar or higher, which might result in serious casualties in the engine room.


Author(s):  
Aomar Ait Aider

How does turbulence rise? For a long time, a century, the Taylor-Couette system was a paradigm for the researchers who tried to get answers to this question. Fascinating structures and patterns observed in the flow have attracted the interest of many researchers, both experimentalists and theorists. During the last century, many works were done on the closed Taylor-Couette systems. At the end of the seventies, after thousands of contributions, experiments performed in the Taylor-Couette system confirmed a theoretical analysis which concluded that a finite number of instabilities, two or three, are sufficient to lead to chaos or weak turbulence. Our own experiments were conducted at that time on a Taylor-Couette system with a moderate aspect ratio. They were analyzed from visual observation and fine local measurement with an electrochemical method. Scalar time series and data pointed out the frequencies characteristic of the flow. Many geometrical effects are considered by researchers. When the gap is horizontal and not completely filled, the flow obtained is called Taylor-Dean flow. We obtained similar flow in an azimuthally open Taylor-Couette system where a combination of the inner cylinder rotation and external fluid pumping, the Dean flow, produces the so called Taylor-Dean flow. Measurements and analysis were carried out by visualization and Laser Doppler Velocimetry. In addition to the experimental approach, we used Computational Fluid Dynamics analysis to complete the flow study. Numerical and experimental investigations reveal a class of instabilities of the Taylor-Dean flow not previously observed in the Taylor-Couette flow due to the cylinder rotation neither in the Dean flow due to the external pumping fluid.


2021 ◽  
Author(s):  
Xue Li ◽  
Bing Chen ◽  
Vamegh Rasouli ◽  
Ning Zhou ◽  
Qian Zhang ◽  
...  

Abstract Background The previous researches mainly focused on the potential hazards associated with LNG leaks and the level of the influence of external environmental factors on the dispersion effect of LNG spills. Few considerations were given to phase change. Therefore, in order to investigate the evolution process of LNG liquid pool and gas cloud diffusion, the effect of phase change on dispersion during LNG release is studied to analyze the behavior characteristics of LNG liquid pool expansion and gas cloud diffusion, and the effect of the leaking aperture on the gas cloud diffusion process is also studied. Methods The Eluerian model and Realizable k-ε model were used to numerically simulate the liquid phase leakage and diffusion process of LNG storage tanks. The homogeneous Eulerian multiphase model was adopted to model the phase change process after LNG leaks to the ground. The Eulerian model defines that different phases are treated as interpenetrating continuum, and each phase has its own conservation equation. The average diameter of LNG droplet and NG bubble were set to 0.01 m. The standard k-ε model and realizable k-ε model are commonly used to describe turbulent motion. However, the realizable k-ε model can not only effectively solve the problem of curved wall flow, but also simulate free flow containing jets and mixed flows. In addition, the realizable k-ε model had higher accuracy in concentration distribution by simulating Thorney’s heavy gas diffusion field test. Therefore, the realizable k-ε model was selected for gas diffusion turbulence. Results The diffusion of the explosive cloud was divided into heavy gas accumulation, entrainment heat transfer and light gas drift. The vapor cloud gradually separated into two parts from the whole "fan leaf shape". One part was a heavy gas cloud, the other part was a light gas cloud which spread with the wind in the downwind direction. The change of leakage aperture had a greater impact on the whole spill and dispersion process of the storage tank. The increasing leakage aperture would lead to 10.3 times increase in liquid pool area, 78.5% increase in downwind dispersion of methane concentration at 0.5LFL, 22.6% increase in crosswind dispersion of methane concentration at 0.5LFL and 249% increase in flammable vapor cloud volume. Within the variation range of the leakage aperture, the trend of the gas cloud diffusion remains consistent, but the time for the liquid pool to keep stable and the gas cloud to enter the next diffusion stage was delayed. The low-pressure cavity area within 200 m of the leeward surface of the storage tank will accumulate heavy gas for a long time, forming a local high concentration area. Conclusion Within the variation range of leakage aperture, there will always be a local high concentration area within 200 m downstream of the storage tank. In the field near the storage tank, the clouds settle and accumulate towards the ground in the state of gas-liquid two-phase flow, and the density of the cloud is gradually lower than the air in the far field, manifesting as light gas diffusion. The methane concentration in this area is high and lasts for a long time, so it should be the focus area of alarm prediction.


2018 ◽  
Vol 168 ◽  
pp. 07013 ◽  
Author(s):  
Jan Skřínský ◽  
Jan Koloničný ◽  
Tadeáš Ochodek

Renewable energies became more and more important in the last years. Hydrogen as a promising energy carrier is a perfect candidate to supply the energy demand of the world. The state of the hydrogen gas (turbulences and point concentrations) has a significant impact on the gas explosion indices. A gas cloud is formed by a partial-pressure method in gas explosion experiments in the spherical 20.0∙10-3 m3 chamber. Gas in the chamber reaches an uniform state beyond in hundreds of ms. The absolute pressure for gas dispersion should be higher than 0.01 MPa for the H2 of concentration larger than 30 vol. % of fuel. The initial temperature also influences turbulent gas flow before ignition, especially in the case of the gases lighter-than-air.


2021 ◽  
Vol 104 (3_suppl) ◽  
pp. 003685042110403
Author(s):  
Yi-Chih Hsieh ◽  
Peng-Sheng You ◽  
Cheng-Sheng Chen

Introduction In Taiwan, liquefied petroleum gas tank users have to call a gas company to deliver a full liquefied petroleum gas tank when their tank is out of gas. The calls usually congest in the cooking time and the customers have to wait for a long time for a full liquefied petroleum gas tank. Additionally, allocating manpower is difficult for the gas company. Objectives A strategy of periodic delivery for gas companies was presented to deliver liquefied petroleum gas tanks in advance and charge the gas fee based on the weight of returned tanks. Additionally, a new encoding scheme was proposed and embedded into three evolutionary algorithms to solve the nondeterministic polynomial-hard problem. The objective of the problem is to minimize the total traveling distance of the vehicle such that the delivery efficiency of tanks increases and the waiting time of customer decreases. Methods A new encoding scheme was presented to convert any random sequence of integers into a solution of the problem and embedded into three evolutionary algorithms, namely, immune algorithm, genetic algorithm, and particle swarm optimization, to solve the delivery problem. Additionally, the encoding scheme can be used to different frequency types of demand based on customers’ requests. Results Numerical results, including a practical example in Yunlin, Taiwan, were provided to show that the adopted approaches can significantly improve the efficiency of delivery. Conclusions The periodic delivery strategy and the new encoding scheme can effectively solve the practical problem of liquefied petroleum gas tank in Taiwan.


2021 ◽  
Author(s):  
Morteza Ali Masoomi ◽  
Mazyar Salmanzadeh ◽  
Goodarz Ahmadi

Abstract Breathing air that contains virus-infected droplets is the leading cause of Covid-19 transmission. Sneezing, coughing, breathing, and talking of an infected person would generate aerosolized droplets that carry the coronavirus. Earlier research efforts have focused on sneezing and coughing as the primary transmission sources. New experiments and field studies have shown that breathing and talking are also effective mechanisms in spreading viruses. In this article, the dispersion of particles/droplets during speaking is studied. COVID-19 virus is about 120 nanometers and is suspended in saliva or mucus droplets emitted by an injected person. These droplets evaporate in a fraction of a second as they enter the environment and reduce in size. However, the droplets’ viral content remains the same as they move by the room’s airflow. The particles from sneezing and coughing are larger than those released by speaking. As the particles/droplets are small, the effect of gravity is small, and they remain suspended in the air for a long time. Also, being small makes them more easily penetrate the respiratory passages. Using the computational fluid dynamics method in conjunction with the ANSYS-Fluent software, the particle transport and dispersion were simulated. The Eulerian approach modeled the airflow (continuous phase), and the Lagrangian approach modeled the particle (discrete phase) movements. This study also investigated the ventilation system’s effects on the distribution of particles in the indoor environment. The displacement and mixing air distribution systems were considered. Simulation results showed that droplets remain suspended in the room for a relatively long time after evaporation. Large particles were deposited quickly, and a significant percentage of smaller particles were removed by the ventilation system. The concentration of particles in the upper half of the room was also quite low for the mixing ventilation system. This was due to the fact that the room air mixing system is relatively uniform; this uniformity of airflow caused the particles to get trapped quickly. Also, for the displacement system, the room airflow was not uniform; these particles were then dispersed in the room and spent more time in the indoor environment.


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