scholarly journals Study of a Multivariable Coordinate Control for a Supercritical Power Plant Process

2012 ◽  
Vol 2 (5) ◽  
pp. 210-217 ◽  
Author(s):  
Omar Mohamed ◽  
Jihong Wang ◽  
Bushra Al-Duri ◽  
Junfu Lu ◽  
Qirui Gao ◽  
...  
Keyword(s):  
Power Plant ◽  
Coordinate Control ◽  
Plant Process

DYNAMIC SIMULATION ASSISTED DESIGN OF INDUSTRIAL POWER PLANT PROCESS AND CONTROL

2009 ◽  
Vol 42 (9) ◽  
pp. 326-331 ◽  
Author(s):  
Yrjö Majanne ◽  
Mikael Maasalo
Keyword(s):  
Power Plant ◽  
Dynamic Simulation ◽  
And Control ◽  
Plant Process

scholarly journals HVOF Coating Case Study for Power Plant Process Control Ball Valve Application

2013 ◽  
Vol 22 (7) ◽  
pp. 1184-1192 ◽  
Author(s):  
Luc Vernhes ◽  
David A. Lee ◽  
Dominique Poirier ◽  
Duanjie Li ◽  
Jolanta E. Klemberg-Sapieha
Keyword(s):  
Power Plant ◽  
Process Control ◽  
Ball Valve ◽  
Hvof Coating ◽  
Plant Process

scholarly journals Application of machine learning to predict the thermal power plant process condition

2022 ◽  
Vol 2150 (1) ◽  
pp. 012029
Author(s):  
M M Sultanov ◽  
I A Boldyrev ◽  
K V Evseev
Keyword(s):  
Machine Learning ◽  
Power Plant ◽  
Thermal Power Plant ◽  
Input Data ◽  
Data Cleaning ◽  
Thermal Power ◽  
Process Condition ◽  
Process Variables ◽  
Machine Learning Model ◽  
Plant Process

Abstract This paper deals with the development of an algorithm for predicting thermal power plant process variables. The input data are described, and the data cleaning algorithm is presented along with the Python frameworks used. The employed machine learning model is discussed, and the results are presented.

scholarly journals Integration of a subsequent CO2 scrubbing in the coal-fired power plant process

2011 ◽  
Vol 4 ◽  
pp. 1395-1402 ◽  
Author(s):  
Christina Stankewitz ◽  
Hans Fahlenkamp
Keyword(s):  
Power Plant ◽  
Plant Process

A digital solution for risk-oriented management of thermal power plant process equipment condition

2020 ◽  
Vol 5 ◽  
pp. 42-54
Author(s):  
Evgueny Boiko ◽  
Igor Polikarpov ◽  
Aleksey Bobrov ◽  
Sergey Sizintsov ◽  
Valeriy Volnev ◽  
...  
Keyword(s):  
Power Plant ◽  
Thermal Power Plant ◽  
Power Plants ◽  
Business Processes ◽  
Thermal Power ◽  
Facility Management ◽  
Process Equipment ◽  
Thermal Power Plants ◽  
Power Facility ◽  
Plant Process

According to digital engineering, an intelligent digital infrastructure is intended to optimize performance of thermal power plants. This paper presents an intelligent digital approach to power facility management. As an example, Siberian Generating Company thermal power plants were considered. The authors have developed specialized software able to control and predict thermal power plant process equipment conditions comparing monitoring data and failure probabilities with appropriate mathematical models. Based on a life-cycle monitoring model, a management methodology was created to be applied to technical and business processes of a power facility to improve its maintenance strategy.

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