Investigating the Adequacy of Horizontal Lifeline System Design through Case Studies from Singapore

2015 ◽  
Vol 141 (7) ◽  
pp. 04015017 ◽  
Author(s):  
Yang Miang Goh ◽  
Qiao Wang
2013 ◽  
Vol 20 (1) ◽  
pp. 109-116 ◽  
Author(s):  
J. Gardner ◽  
L. Xiong ◽  
Y. Xiao ◽  
J. Gao ◽  
A. R. Post ◽  
...  

Author(s):  
Prashant Srinivasan ◽  
Sanketh Bhat ◽  
Manthram Sivasubramaniam ◽  
Ravi Methekar ◽  
Maruthi Devarakonda ◽  
...  

Large bore reciprocating internal combustion engines are used in a wide variety of applications such as power generation, transportation, gas compression, mechanical drives, and mining. Each application has its own unique requirements that influence the engine design & control strategy. The system architecture & control strategy play a key role in meeting the requirements. Traditionally, control design has come in at a later stage of the development process, when the system design is almost frozen. Furthermore, transient performance requirements have not always been considered adequately at early design stages for large engines, thus limiting achievable controller performance. With rapid advances in engine modeling capability, it has now become possible to accurately simulate engine behavior in steady-states and transients. In this paper, we propose an integrated model-based approach to system design & control of reciprocating engines and outline ideas, processes and real-world case studies for the same. Key benefits of this approach include optimized engine performance in terms of efficiency, transient response, emissions, system and cost optimization, tools to evaluate various concepts before engine build thus leading to significant reduction in development time & cost.


2009 ◽  
Vol 97 (1) ◽  
pp. 161-174 ◽  
Author(s):  
Tong Zhang ◽  
Rino Micheloni ◽  
Guoyan Zhang ◽  
Zhaoran Rena Huang ◽  
James Jian-Qiang Lu

2015 ◽  
Vol 25 (09n10) ◽  
pp. 1429-1442 ◽  
Author(s):  
Shi-Kuo Chang ◽  
Wen-Hui Chen ◽  
Wen-Chyi Lin ◽  
Christopher Lee Thomas

This article presents the design of a smart pet care system based on the slow intelligence framework for providing pets with suitable living conditions that closely mirror their natural habitat. By integrating heterogeneous information from various sensing data, the smart environment-aware pet care system can adaptively adjust the setting of temperature and humidity that best fits the pet through iterative slow intelligence computation. Simulations of two case studies were provided to illustrate the application of the proposed system for pets such as snakes and dogs. The simulation results demonstrate the feasibility of the proposed approach to the design of smart pet care systems.


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