scholarly journals Contribution to the Development of a Simulation Model for a Seaport in Specific Operating Conditions

2012 ◽  
Vol 21 (5) ◽  
pp. 331-340 ◽  
Author(s):  
Čedomir Dundović ◽  
Mirko Bilić ◽  
Joško Dvornik
Keyword(s):  
Dynamic Simulation ◽  
Structural Model ◽  
Optimal Solution ◽  
Simulation Models ◽  
Simulation Modelling ◽  
Operating Conditions ◽  
System Dynamic ◽  
System Verification ◽  
Non Linear System ◽  
System Dynamic Simulation

The purpose of this paper is to show the efficiency of application of system dynamic simulation modelling when researching the behaviour dynamics of the port transhipment process, and finding the optimal solution for cargo handling with regard to the type and scope of cargo traffic, directions of movement, and pace of receiving and shipping of cargo. In view of the potential scientific implementation and verification of the hypotheses about the usage of system dynamic simulation models, the goals are multi-dimensional as they include designing qualitative and quantitative simulation models for a non-linear system, verification of the validity of the behaviour dynamics of the model, application of the simulation models, application of the parameter optimisation of the simulated process, and scientific verification of the results obtained through the simulation of the model. In compliance with the developed system-dynamic, mental-verbal and structural model, using the Powersim Studio system-dynamic flowchart of the port cargo system, in Powersim Studio simulation language, it is possible to conduct a scientific research of the dynamics of the continuous behaviour of the observed port cargo system in an experimental way, i. e. by using computers, simulating various scenarios of likely occurrences in the real world, without jeopardising it. KEY WORDS: system dynamics, modelling, transhipment process, optimisation, continued and discrete simulation

DYNAMIC SIMULATION MODEL FOR SUSTAINABLE MUNICIPALITY DEVELOPMENT IN VIDZEME REGION, LATVIA

2017 ◽  
Vol 2 ◽  
pp. 11
Author(s):  
Aigars Andersons ◽  
Sarmite Rozentale
Keyword(s):  
Sustainable Development ◽  
Simulation Model ◽  
Dynamic Simulation ◽  
Evaluation Process ◽  
Monitoring And Evaluation ◽  
Simulation Modelling ◽  
Development Planning ◽  
System Dynamic ◽  
Dynamic Simulation Model ◽  
System Dynamic Simulation

Authors in this research paper publish the results of system dynamic simulation modelling in the field of sustainable development planning, monitoring and evaluation for all 26 Latvia Vidzeme region municipalities. As the most notable research outcome, authors created original socio-technical system dynamic simulation model in STELLA modelling environment valid for sustainable development evaluation purposes. After successful verification and validation process of this model authors reached the significant results for improved methodology of dynamic systems evaluation process reliability of sustainable development in Vidzeme region municipalities. Methodology, proposed by authors roots into the quantitative statistical data analysis and system dynamic process simulation modelling.

Development of Compression System Dynamic Simulation Code for Testing and Designing of Anti-Surge Control System

2017 ◽  
Author(s):  
Abbas Mohajer ◽  
Eshagh Abbasi
Keyword(s):  
Control System ◽  
Dynamic Simulation ◽  
Operating Conditions ◽  
System Dynamic ◽  
Test Facility ◽  
Acceptance Test ◽  
Control Logic ◽  
Compression System ◽  
Surge Control ◽  
System Dynamic Simulation

As cost of damages to the compression systems in oil and gas industry can lead to significant capital cost loss and plant downtime, these valuable assets must be carefully protected to achieve a high level of production and operational reliability. In recent years, several research activities have been conducted to develop knowledge in analysis, design and optimization of compressor anti surge control system. Since, the anti-surge control testing on a full scale compressor are limited for possible consequences of failure and also the experimental facility can be expensive to set up control strategies and logics, design process often involves analyses using compression system dynamic simulation. Such Simulator enables the designer to test the new control logic and see the results before implementing it on governor system. This would increase the reliability and prevents undesirable costs resulting from practical trial and error process. Taking into account its own requirements and market demand, a high fidelity compression system dynamic simulation environment has developed by MAPNA Turbine (TUGA) to verify the anti-surge control system design and test the control logic across the all operating range of the compressor performance. Typical control scenarios that have to be considered are process control, starting and stopping, and emergency shutdowns. Having such simulator is also deemed to be essential to serve other applications during all stages of system life cycle, including but not limited to the educational tool for operators training, Site Acceptance Test (SAT) and Factory Acceptance Test (FAT) and compression plant design optimization. This research focuses on developing and validating a physics-based, modular, non-linear and one-dimensional dynamic model of a compression system: centrifugal compressor and its surrounding process equipment like scrubber, cooler, a recycle line with a control valve and check valve. The mathematical approach of the model is based on laws of conservation and the included ordinary differential equations (ODEs) which describe the system dynamics, is solved by using advanced computational method in an in-house FORTRAN code. Compressor characteristics maps generated from company compressor test bench are used to determine compressor pressure ratio and efficiency. All equipment and inlet/outlet accessories as well as test instructions follow the requirements of PTC10. The simulation within a wide range of operating conditions allows a parametric study to be performed and the optimal values of the control parameters to be selected. In order to check the validity of the model, the simulation results are then compared with experimental data taken on the company industrial compressor test facility and also with operational field measurement.

scholarly journals Combined Cycle Plant Model for Power System Dynamic Simulation Study

2000 ◽  
Vol 120 (8-9) ◽  
pp. 1146-1152 ◽  
Author(s):  
Shirou Suzuki ◽  
Kenichi Kawata ◽  
Masahiro Sekoguchi ◽  
Masuo Goto
Keyword(s):  
Power System ◽  
Dynamic Simulation ◽  
Simulation Study ◽  
Combined Cycle ◽  
System Dynamic ◽  
Plant Model ◽  
Combined Cycle Plant ◽  
System Dynamic Simulation

A System Dynamic Model for the Environmental Performance Index of Malaysia

2012 ◽  
Vol 518-523 ◽  
pp. 1062-1071 ◽  
Author(s):  
Margaret Chan Kit Yok ◽  
Yap Bee Wah ◽  
Ting Siew King ◽  
Wong Mui Hung ◽  
Elly Lawai
Keyword(s):  
Simulation Model ◽  
Dynamic Model ◽  
Dynamic Simulation ◽  
Performance Index ◽  
Environmental Performance ◽  
System Dynamic ◽  
System Dynamic Model ◽  
Environmental Performance Index ◽  
Dynamic Simulation Model ◽  
System Dynamic Simulation

The Third Principle which is pertaining to the right to development in Agenda 21 of the Rio Declaration or Earth Summit asserts that it must be fulfilled so that development must be sustainable which has been defined as development that meets the needs of the present without compromising the ability of future generations to meet their own need. Among the various models of environmental sustainability comparative studies was the Environmental Performance Index (EPI) model. Malaysia was ranked 54 recording a score of 65 and ranked 10 among the Asia and Pacific Countries behind two ASEAN countries: Singapore and Philippines. The environmental indicators from 2010 EPI was therefore used to develop the System Dynamics Simulation Model to provide the framework and procedure for qualitative and quantitative description, exploration and analysis of the systems in terms of their processes, information boundaries and strategies, facilitating quantitative simulation modeling for policy evaluation and predictions pertinent to sustainability. The System Dynamic Simulation Model developed for the EPI of Malaysia changed the static presentation to a dynamic scenario. Two very important components were considered: the contribution and the impact of population and the industrial activities indicated as the Industrial Productivity Index. The simulated EPI of 66.51 was shown to differ slightly from the EPI 2010 of 65 attributed to the inclusion of the population and the industrial production factors in the system dynamic model, in which the later study did not compute the EPI with respect to the two factors. Thus, the System Dynamic Simulation Model developed has shown to be reliable and be used for any country to simulate EPI for future trends.

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