AIChE Symposium Series, Issue 323 |
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Page 358
... cost . Table 3. Optimal Policy Cost for the Different Scenarios . M - Σπ.Ρ. , M Σπ = 1 . j = 0 Scenario Optimal Steady The л are called the steady state probabilities of the Markov chain and the resulting values are shown below : Policy ...
... cost . Table 3. Optimal Policy Cost for the Different Scenarios . M - Σπ.Ρ. , M Σπ = 1 . j = 0 Scenario Optimal Steady The л are called the steady state probabilities of the Markov chain and the resulting values are shown below : Policy ...
Page 368
... Cost Changes • Moderate Cost Modifications , and • New Technologies New Technologies Moderate - Cost Modifications No Cost / Low Cost Strategies Target Technology Changes ( New Chemistry , New Processing Technology ets ) Equipment ...
... Cost Changes • Moderate Cost Modifications , and • New Technologies New Technologies Moderate - Cost Modifications No Cost / Low Cost Strategies Target Technology Changes ( New Chemistry , New Processing Technology ets ) Equipment ...
Page 389
... costs of mass exchange networks . This method makes it possible to optimise total cost with respect to minimum driving force ahead of design . The method is applied to four literature problems which had previously been optimised using a ...
... costs of mass exchange networks . This method makes it possible to optimise total cost with respect to minimum driving force ahead of design . The method is applied to four literature problems which had previously been optimised using a ...
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