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SCIDIR_on1313535958 |
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OCoLC |
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20231120010643.0 |
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m o d |
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cr cnu---unuuu |
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220502s2022 ne o 001 0 eng d |
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|a OPELS
|b eng
|e rda
|e pn
|c OPELS
|d OCLCO
|d OCLCF
|d UKMGB
|d N$T
|d UKAHL
|d OCLCQ
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|a GBC224933
|2 bnb
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|a 020490032
|2 Uk
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|a 0323850448
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|a 9780323850445
|q (electronic bk.)
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|z 9780323850438
|q (print)
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| 035 |
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|a (OCoLC)1313535958
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4 |
|a TS176
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| 082 |
0 |
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|a 670.1/51
|2 23
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| 245 |
0 |
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|a Simulation and optimization in process engineering :
|b the benefit of mathematical methods in applications of the chemical industry /
|c edited by Michael Bortz and Norbert Asprion.
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| 264 |
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1 |
|a Amsterdam, Netherlands :
|b Elsevier,
|c 2022.
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| 300 |
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|a 1 online resource.
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| 336 |
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|a text
|b txt
|2 rdacontent
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| 337 |
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|a computer
|b c
|2 rdamedia
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| 338 |
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|a online resource
|b cr
|2 rdacarrier
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| 500 |
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|a Includes index.
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| 588 |
0 |
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|a Online resource; title from PDF title page (ScienceDirect, viewed May 2, 2022).
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| 505 |
0 |
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|a <P>1. The PC-SAFT Equation of State</p> <p>2. Don't Search -- Solve! Process Optimization Modeling with IDAES</p> <p>3. Thinking Multicriteria -- A Jackknife When it Comes to Optimization</p> <p>4. Dynamic modelling, simulation, optimization</p> <p>5. Solvent Recovery by Batch Distillation -- Application of Multivariate Sensitivity Studies to High Dimensional Multi-Objective Optimization Problems</p> <p>6. Modeling and Optimizing Dynamic Networks: Applications in Process Engineering and Energy Supply</p> <p>7. The Use of Digital Twins to Overcome Low-redundancy Problems in Process Data Reconciliation</p> <p>8. Real-Time Optimization of Batch Chemical Processes -- Combining within-batch and batch-to-batch corrections</p> <p>9. On economic operation of switchable chlor-alkali electrolysis for demand side management</p> <p>10. Optimal experimental design for dynamical processes</p> <p>11. Characterization of reactions and growth in automated continuous flow and bioreactor platforms -- From linear DoE to model-based approaches</p> <p>12. Product development in a multicriteria context</p> <p>13. Dispatching for batch chemical processes using Monte-Carlo simulations -- a practical approach to scheduling on the shop floor</p> <p>14. Applications of the RTN Scheduling Model in the Chemical Industry</p>
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| 650 |
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0 |
|a Production engineering
|x Mathematics.
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| 650 |
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0 |
|a Mathematical optimization.
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| 650 |
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6 |
|a Technique de la production
|0 (CaQQLa)201-0030177
|x Math�ematiques.
|0 (CaQQLa)201-0380112
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| 650 |
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6 |
|a Optimisation math�ematique.
|0 (CaQQLa)201-0007680
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| 650 |
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7 |
|a Mathematical optimization
|2 fast
|0 (OCoLC)fst01012099
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| 650 |
|
7 |
|a Production engineering
|x Mathematics
|2 fast
|0 (OCoLC)fst01078293
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| 700 |
1 |
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|a Bortz, Michael,
|e editor.
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| 700 |
1 |
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|a Asprion, Norbert,
|e editor.
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| 776 |
0 |
8 |
|i Print version:
|z 9780323850438
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| 856 |
4 |
0 |
|u https://sciencedirect.uam.elogim.com/science/book/9780323850438
|z Texto completo
|
