Advanced monitoring and process control technology for coal-fired power plants

2010 ◽  
pp. 264-288 ◽  
Author(s):  
Y. Yan
Keyword(s):  
Process Control ◽  
Power Plants ◽  
Control Technology

Increasing revenue and reducing cost through the use of advanced process control technology in the sugar industry

2016 ◽  
pp. 620-624
Author(s):  
Scott Kahre
Keyword(s):  
Process Control ◽  
Sugar Industry ◽  
Operating Cost ◽  
Control Technology ◽  
Advanced Process Control ◽  
Output Controller ◽  
Complex Processes ◽  
Unit Operations ◽  
Sugar Unit ◽  
Optimum Cost

Advanced process control technology can provide sugar processors the ability to realize major revenue enhancements and/or operating cost reductions with low initial investment. One technology in particular, model predictive control (MPC), holds the potential to increase production, reduce energy costs, and reduce quality variability in a wide variety of major sugar unit operations. These include centrifugal stations, pulp dryers, extractors, diffusers, mills, evaporating crystallizers, juice purification, and more. Simple payback periods as low as two months are projected. As a PC-based add-on to existing distributed control systems (DCS) or programmable logic controller (PLC) systems, MPC acts as a multi-input, multi-output controller, utilizing predictive process response models and optimization functions to control complex processes to their optimum cost and quality constraints.

scholarly journals Industry 4.0 and basic principles of a new architecture for control of power plants processes

2018 ◽  
Vol 44 ◽  
pp. 00008
Author(s):  
Nikolay Amosov ◽  
Alexander Andryushin ◽  
Edik Arakelyan ◽  
Anatoliy Kosoy
Keyword(s):  
Process Control ◽  
Industry 4.0 ◽  
Power Plants ◽  
Thermal Power ◽  
Economic Effect ◽  
Basic Principles ◽  
Level Of Automation ◽  
Software And Hardware ◽  
Plant Level ◽  
Level Analysis

The results of the level analysis of intellectuality and efficiency of up-to-date automated process control systems (APCS) based on software and hardware systems (SHS) are presented. It was demonstrated that, despite the widespread implementation of modern software and hardware systems during the construction of new APCS and upgrading the existing ones for thermal power plants (TPP), improvement of the process control quality, optimization of their modes and parameters take place generally at the equipment and power unit level and to a far lesser extent – at the power plant level and as a result – insufficient level of automation and low technical and economic efficiency. Another conclusion from the performed analysis – when implementing control algorithms in the APCS based on the up-to-date SHS, their wide data and software capabilities are not fully used. The main ways of further APCS improvement for the purpose of further increasing of their efficiency and the level of intelligence of SHS based APCS of power plants are presented. The possibility of their implementation is considered with application of the basic principles laid in the concept Industry 4.0. The possible economic effect from the implementation of the proposed solutions for increasing the intelligence and efficiency of the SHS based APCS was assessed. A brief description of the configuration of the proposed SHS based control system is given.

Welding Deformation Controlling for the Truck Rack Girder

2012 ◽  
Vol 217-219 ◽  
pp. 2125-2132
Author(s):  
Li Qin Li ◽  
Li Bin Zhao ◽  
Xi Min Liu ◽  
Da Yu Wang ◽  
Xing Wang Wen
Keyword(s):  
Process Control ◽  
Welding Process ◽  
Fixture Design ◽  
Welding Deformation ◽  
Control Technology ◽  
Deformation Control ◽  
Running Safety

This paper aims at the research on deformation control technology in truck rack girder. Welded deformation is minished through special welding fixture design and welding process control, thus to improve the size precision of the truck rack girder and ensure the running safety of the vehicle.

scholarly journals Platform for Advanced Control and Estimation (PACE): Shell's and Yokogawa's Next Generation Advanced Process Control Technology

2015 ◽  
Vol 48 (8) ◽  
pp. 1-5 ◽  
Author(s):  
R. Amrit ◽  
W. Canney ◽  
P. Carrette ◽  
R. Linn ◽  
A. Martinez ◽  
...  
Keyword(s):  
Process Control ◽  
Control Technology ◽  
Next Generation ◽  
Advanced Process Control ◽  
Advanced Control
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