AIChE Symposium Series, Issue 323 |
From inside the book
Results 1-3 of 83
Page 41
... performance metric ( e.g. profit ) , the objective is to optimise the distribution of the performance metric that results from the uncertainty ( i.e. probability distributions ) in the parameters . Probability distributions are very ...
... performance metric ( e.g. profit ) , the objective is to optimise the distribution of the performance metric that results from the uncertainty ( i.e. probability distributions ) in the parameters . Probability distributions are very ...
Page 306
... performance models describe these time and size factors as functions of the process variables selected as optimization variables . Thus the same mathematical model for the plant is used in both approaches , with the process performance ...
... performance models describe these time and size factors as functions of the process variables selected as optimization variables . Thus the same mathematical model for the plant is used in both approaches , with the process performance ...
Page 309
... performance models ) . With the process performance models an additional saving in the cost of the plant is obtained comparing against the fixed factors . This reduction is around 15 % ( $ 1,505,326 vs. $ 1,770,418 ) with the model ...
... performance models ) . With the process performance models an additional saving in the cost of the plant is obtained comparing against the fixed factors . This reduction is around 15 % ( $ 1,505,326 vs. $ 1,770,418 ) with the model ...
Contents
INVITED PAPERS | 1 |
RECENT DEVELOPMENTS | 21 |
The Web and Flow of Information in Pharmaceutical RD | 23 |
Copyright | |
45 other sections not shown
Common terms and phrases
activities addition AIChE algorithm allow alternatives analysis application approach batch bound calculations changes Chem chemical codes column Comp complex components composition computational concepts considered constraints continuous cost defined described detailed determine distillation dynamic economic effect efficient energy engineering equations equipment et al evaluation example experiments feed Figure Floudas flow flowsheet formulation function given global optimization Grossmann heat important improve increase industry integration involved lifecycle linear material mathematical methods molecular networks nonlinear objective obtained operating parameters particle performance phase plant possible predict presented problem procedure process design process modeling programming properties proposed reaction reactor reduced selection separation shown shows simulation solution solved specific stage step strategy structure synthesis techniques temperature types unit variables