Simulation based evaluation of the capacity of Liuheng LNG Terminal

2019 ◽  
Author(s):  
Guolei Tang ◽  
Ming Qin ◽  
Ningning Li ◽  
Jingjing Yu ◽  
Zhuoyao Zhao ◽  
...  
Keyword(s):  
Natural Gas ◽  
Simulation Model ◽  
Waiting Times ◽  
Microscopic Simulation ◽  
Agent Based ◽  
Whole Process ◽  
Simulation Based ◽  
Lng Tank ◽  
Ship Operation ◽  
Traffic Rules

Liuheng LNG (Liquified Natural Gas) terminal is proposed to serve LNG carriers and LNG tank container ships. However, the capacity of this terminal may be limited by the long entrance channel and traffic rules for LNG transportation. Therefore, to evaluate the capacity of Liuheng LNG terminal, we establish an agent-based microscopic simulation model for ship operation (AMic-SMSO) to simulate the whole process of ship operation in and out of a port. We undertake a series of experiment scenarios to identify the bottlenecks and assess the throughput capability by analyzing waiting times, berth occupancies, and explore the effect of modifying the traffic rules on these indicators. The results show that this simulation model is a useful tool in determining whether traffic rules works well actually, especially for LNG terminal berth configuration plan.

The Microscopic Simulation Based on Conflict of Pedestrian Crossing Street

2014 ◽  
Vol 505-506 ◽  
pp. 1102-1106
Author(s):  
Qi Pu ◽  
Luan Ying Sun ◽  
Cheng Gu
Keyword(s):  
Simulation Model ◽  
Weighted Average ◽  
Index Selection ◽  
Practical Application ◽  
Microscopic Simulation ◽  
Intersection Safety ◽  
Simulation Based ◽  
Risk Degree ◽  
Conflict Risk ◽  
Pedestrian Crossing

Data was gathered in order to obtain the conflict index at signal intersection when pedestrians crossed the street, and SOMK algorithm was applied to the four indexes of clustering, then index can be applied to evaluate the risk degree of signal intersection after index selection. A signal intersection was selected which was a main-secondary road intersection to simulate with VISSIM. On the basis of quantitating the pedestrian-vehicle conflict at signal intersection, calculated weighted average of the every conflict risk degree in the peak hours at the intersection, then resulted in intersection safety score of pedestrians crossing in peak hours, and evaluated safety grade according to the score. Compared and analyzed the results of actual investigation and simulation, which ensure the simulation model is effective. Afterwards the simulation can be taken into practical application based on its effectiveness.

Simulation technology based on monitoring data of the number of people for the task of ensuring their safety

2021 ◽  
Vol 92 ◽  
pp. 116-127
Author(s):  
A. V. Spiridonov ◽  
Keyword(s):  
Initial Data ◽  
Simulation Model ◽  
Fire Safety ◽  
Experimental System ◽  
Fire Risk ◽  
Monitoring Data ◽  
Simulation Technology ◽  
Agent Based ◽  
Critical Areas ◽  
Simulation Based

Introduction. The paper presents the results of simulation based on monitoring data for the task of ensuring the safety of people. The initial data for the simulation was obtained using an experimental system for monitoring the distribution of people in the building. The simulation results indicate the possibility of accumulating reliable data on the distribution of people, which can later be used either as a source of initial data for the risk calculation procedure, or as a basis for the development of organizational fire safety measures at the facility. Goals and objectives. The purpose of this work is to develop a simulation technology based on monitoring data on the number of people for the task of ensuring their safety. For this, the following tasks have been successively solved: description of the simulation technology in relation to the task based on monitoring the number of people; construction of a simulation model, its validation and verification, as well as analysis and interpretation of the results obtained. Methods. To create and build a model of an object, the methods of simulation were used, in particular, the agent-based approach. Results and its discussion. The results of simulation showed the possibility of applying the proposed approach to the problem of assessing the distribution of the number of people in different zones of the floors. The constructed simulation model makes it possible to identify the most congested areas and premises in the building, being at the same time a tool for making well-grounded organizational decisions. Conclusions. The technology of simulation modeling has been developed, which will allow the decision-maker to conduct a better analysis of the congestion of premises inside the building, to identify critical areas inside the building that affect the safety of people. In addition, this approach can be applied as a basis for assessing the magnitude of fire risk. Keywords: fire safety, monitoring, simulation, AnyLogic, evacuation

scholarly journals Simulation-Based Planning and Control of Transport Flows in Port Logistic Systems

2015 ◽  
Vol 2015 ◽  
pp. 1-12 ◽  
Author(s):  
Antonio Diogo Passos Lima ◽  
Frederico Werner de Mascarenhas ◽  
Enzo Morosini Frazzon
Keyword(s):  
Transit Time ◽  
Queueing Theory ◽  
Waiting Times ◽  
Service Level ◽  
Theory Model ◽  
Agent Based ◽  
Planning And Control ◽  
Simulation Based ◽  
Remote Points ◽  
And Control

In highly dynamic and uncertain transport conditions, transport transit time has to be continuously monitored so that the service level is ensured at a proper cost. The aim of this research is to propose and to test a procedure which allows an agile planning and control of transport flows in port logistic systems. The procedure couples an agent-based simulation and a queueing theory model. In this paper, the transport scheduling performed by an agent at the intermodal terminal was taken into consideration. The decision-making agent takes into account data which is acquired in remote points of the system. The obtained results indicate the relevance of continuously considering, for the transport planning and control, the expected transit time and further waiting times along port logistic systems.

scholarly journals An agent-based simulation model of human-robot team performance in military environments

2012 ◽  
Vol 16 (1) ◽  
pp. 15-28 ◽  
Author(s):  
Ronald E. Giachetti ◽  
Veronica Marcelli ◽  
José Cifuentes ◽  
José A. Rojas
Keyword(s):  
Simulation Model ◽  
Team Performance ◽  
Agent Based Simulation ◽  
Agent Based

Simulation Model of Crowd Evacuation Navigation in a Multi-Obstacle Environment

2020 ◽  
pp. 036119812097126
Author(s):  
Zhongrui Ni ◽  
Zhen Liu ◽  
Tingting Liu ◽  
Yanjie Chai ◽  
Cuijuan Liu
Keyword(s):  
Simulation Model ◽  
Simulation Experiment ◽  
Control Algorithms ◽  
Prototype System ◽  
Evacuation Simulation ◽  
Agent Based ◽  
Crowd Management ◽  
Navigation Simulation ◽  
Local Navigation ◽  
Crowd Evacuation

The simulation of a crowd evacuating public buildings can be an important reference in planning the layout of buildings and formulating evacuation strategies. This paper proposes an agent-based crowd model; a crowd evacuation navigation simulation model is proposed for the multi-obstacle environment. We introduce the concept of navigation factor to describe the proximity of the navigation point to the exit. An algorithm for creating navigation points in multi-obstacle environment is proposed along with the global navigation and local navigation control algorithms of the crowd. We construct a crowd evacuation simulation prototype system with different simulation scenes using the scene editor. We conduct the crowd evacuation simulation experiment in the multi-obstacle scene, recording and analyzing the relevant experimental data. The simulation prototype system can be used to derive the evacuation time of the crowd and analyze the evacuation behavior of the crowd. It is expected to provide a visual deduction method for crowd management in an evacuation emergency.

Computational Simulation of Boil-Off Gas Formation inside Liquefied Natural Gas Tank Using Evaporation Model in ANSYS Fluent

2013 ◽  
Vol 393 ◽  
pp. 839-844 ◽  
Author(s):  
Mohamad Shukri Zakaria ◽  
Kahar Osman ◽  
Mohd Noor Asril Saadun ◽  
Muhammad Zaidan Abdul Manaf ◽  
Mohd Hafidzal Mohd Hanafi
Keyword(s):  
Natural Gas ◽  
Gulf Coast ◽  
Current Model ◽  
Computational Simulation ◽  
The United States ◽  
Liquefied Natural Gas ◽  
Ansys Fluent ◽  
Evaporation Model ◽  
Gas Formation ◽  
Lng Tank

Research on the waste energy and emission has been quite intensive recently. The formation, venting and flared the Boil-off gas (BOG) considered as one of the contribution to the Greenhouse Gas (GHG) emission nowadays. The current model or method appearing in the literature is unable to analyze the real behavior of the vapor inside Liquefied Natural Gas (LNG) tank and unable to accurately estimate the amount of boil-off gas formation. In this paper, evaporation model is used to estimate LNG Boil-Off rate (BOR) inside LNG tank. Using User Define Function (UDF) hooked to the software ANSYS Fluent. The application enable drag law and alternative heat transfer coefficient to be included. Three dimensional membrane type LNG cargos are simulated with selected boundary condition located in the United States Gulf Coast based on average weather conditions. The result shows that the value of BOR agrees well with the previous study done with another model and with International Marine organization (IMO) standard which is less than 0.15% weight per day. The results also enable us to visualize the LNG evaporation behaviors inside LNG tanks.

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