On the practical use of Euler-Rodrigues parameters in multibody system dynamic simulation

1985 ◽  
Vol 55 (2) ◽  
pp. 114-123 ◽  
Author(s):  
R. E. Roberson
Keyword(s):  
Dynamic Simulation ◽  
Multibody System ◽  
System Dynamic ◽  
System Dynamic Simulation

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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