An Optimization Problem in Control Theory

1991 ◽  
pp. 274-289
Author(s):  
Ker-I Ko
Keyword(s):  
Control Theory ◽  
Optimization Problem

Quality charters or quality members? A control theory perspective on team charters and team performance.

2017 ◽  
Vol 102 (10) ◽  
pp. 1462-1470 ◽  
Author(s):  
Stephen H. Courtright ◽  
Brian W. McCormick ◽  
Sal Mistry ◽  
Jiexin Wang
Keyword(s):  
Control Theory ◽  
Team Performance

Motives for the sexual double standard: A test of female control theory

2013 ◽  
Author(s):  
Laurie A. Rudman ◽  
Janell C. Fetterolf ◽  
Diana T. Sanchez
Keyword(s):  
Control Theory ◽  
Double Standard ◽  
Sexual Double Standard ◽  
Female Control

Robot Control—Theory and Applications

IEE Review ◽  
1988 ◽  
Vol 34 (7) ◽  
pp. 280
Author(s):  
A.G. Blay
Keyword(s):  
Control Theory ◽  
Robot Control

Exergy and sensibility analysis of each individual effect in a kraft multiple effect evaporator

TAPPI Journal ◽  
2019 ◽  
Vol 18 (10) ◽  
pp. 607-618
Author(s):  
JÉSSICA MOREIRA ◽  
BRUNO LACERDA DE OLIVEIRA CAMPOS ◽  
ESLY FERREIRA DA COSTA JUNIOR ◽  
ANDRÉA OLIVEIRA SOUZA DA COSTA
Keyword(s):  
Optimization Problem ◽  
Real Data ◽  
Kraft Pulping ◽  
Steam Temperature ◽  
Input Flow ◽  
Transfer Coefficients ◽  
Heat Transfer Coefficients ◽  
Multiple Effect ◽  
Sensibility Analysis ◽  
Exergetic Analysis

The multiple effect evaporator (MEE) is an energy intensive step in the kraft pulping process. The exergetic analysis can be useful for locating irreversibilities in the process and pointing out which equipment is less efficient, and it could also be the object of optimization studies. In the present work, each evaporator of a real kraft system has been individually described using mass balance and thermodynamics principles (the first and the second laws). Real data from a kraft MEE were collected from a Brazilian plant and were used for the estimation of heat transfer coefficients in a nonlinear optimization problem, as well as for the validation of the model. An exergetic analysis was made for each effect individually, which resulted in effects 1A and 1B being the least efficient, and therefore having the greatest potential for improvement. A sensibility analysis was also performed, showing that steam temperature and liquor input flow rate are sensible parameters.

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