Plant and Control System Reliability and Risk Model

Author(s):  
I. M. Niemelä
Energies ◽  
2019 ◽  
Vol 12 (11) ◽  
pp. 2053 ◽  
Author(s):  
Tullio de Rubeis ◽  
Mirco Muttillo ◽  
Iole Nardi ◽  
Leonardo Pantoli ◽  
Vincenzo Stornelli ◽  
...  

In this paper, a novel integrated measuring and control system for hot box experiments is presented. The system, based on a general-purpose microcontroller and on a wireless sensors network, is able to fully control the thermal phenomena inside the chambers, as well as the heat flux that involves the specimen wall. Thanks to the continuous measurements of air and surfaces temperatures and energy input into the hot chamber, the thermal behavior of each hot box component is analyzed. A specific algorithm allows the post-process of the measured data for evaluating the specimen wall thermal quantities and for creating 2D and 3D thermal models of each component. The system reliability is tested on a real case represented by a double insulating X-lam wall. The results of the 72 h experiment show the system’s capability to maintain stable temperature set points inside the chambers and to log the temperatures measured by the 135 probes, allowing to know both the U-value of the sample (equal to 0.216 ± 0.01 W/m2K) and the thermal models of all the hot box components. The U-value obtained via hot box method has been compared with the values gathered through theoretical calculation and heat flow meter measurements, showing differences of less than 20%. Finally, thanks to the data postprocessing, the 2D and 3D thermal models of the specimen wall and of the chambers have been recreated.


Author(s):  
John E. Feniak ◽  
Dan A. King ◽  
Michal Mensik

Today’s increasingly competitive markets require new levels of reliability, flexibility and cost performance from gas transmission pipelines. One method that pipeline companies can use to address these business objectives is to target station and turbomachinery control system design specification, retrofits and integration. State of the art control tools and technologies have placed turbomachinery control engineering within the grasp of the end users. NOVA Gas Transmission Ltd. (NGTL) has taken advantage of this to specify, design, and implement integrated control systems that best address their business needs. This paper explores the end user perspective on applying control system technology to both new and existing compressor stations. The specification of new units and control retrofits are described. The resulting increase in system reliability and flexibility, and reduced maintenance costs is also presented.


TAPPI Journal ◽  
2009 ◽  
Vol 8 (1) ◽  
pp. 4-11
Author(s):  
MOHAMED CHBEL ◽  
LUC LAPERRIÈRE

Pulp and paper processes frequently present nonlinear behavior, which means that process dynam-ics change with the operating points. These nonlinearities can challenge process control. PID controllers are the most popular controllers because they are simple and robust. However, a fixed set of PID tuning parameters is gen-erally not sufficient to optimize control of the process. Problems related to nonlinearities such as sluggish or oscilla-tory response can arise in different operating regions. Gain scheduling is a potential solution. In processes with mul-tiple control objectives, the control strategy must further evaluate loop interactions to decide on the pairing of manipulated and controlled variables that minimize the effect of such interactions and hence, optimize controller’s performance and stability. Using the CADSIM Plus™ commercial simulation software, we developed a Jacobian sim-ulation module that enables automatic bumps on the manipulated variables to calculate process gains at different operating points. These gains can be used in controller tuning. The module also enables the control system designer to evaluate loop interactions in a multivariable control system by calculating the Relative Gain Array (RGA) matrix, of which the Jacobian is an essential part.


2015 ◽  
Vol 19 (95) ◽  
pp. 50-53
Author(s):  
Aleksej A. Kravcov ◽  
◽  
Leonid G. Limonov ◽  
Valerij V. Sinelnikov ◽  
Stanislav V. Potapov

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