LEADER 05764nam 2200709 450 001 9910807614703321 005 20230120011347.0 010 $a0-444-63443-6 035 $a(CKB)2550000001321619 035 $a(EBL)1718627 035 $a(OCoLC)881887885 035 $a(SSID)ssj0001304985 035 $a(PQKBManifestationID)11978311 035 $a(PQKBTitleCode)TC0001304985 035 $a(PQKBWorkID)11248975 035 $a(PQKB)10529470 035 $a(MiAaPQ)EBC1718627 035 $a(Au-PeEL)EBL1718627 035 $a(CaPaEBR)ebr10887323 035 $a(CaONFJC)MIL621082 035 $a(EXLCZ)992550000001321619 100 $a20140709h20142014 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 00$a24th European Symposium on Computer Aided Process Engineering$iPart A /$fedited by Jiri? Jaromi?r Klemes, Petar Sabev Varbanov, Peng Yen Liew 205 $aFirst edition. 210 1$aAmsterdam, Netherlands ;$aOxford, [England] :$cElsevier,$d2014. 210 4$dİ2014 215 $a1 online resource (1966 p.) 225 1 $aComputer Aided Chemical Engineering,$x1570-7946 ;$v33 300 $aDescription based upon print version of record. 311 $a0-444-63434-7 311 $a1-306-89831-5 327 $ae9780444634436pa.pdf; Front Cover; 24th European Symposium on Computer Aided Process Engineering; Copyright Page; Contents; Preface; International Scientific Committee; Local Organising Committee; Financial Risk Analysis in the Synthesis and Design of Processing Networks: Balancing Risk and Return; Abstract; 1. Introduction; 2. The framework for synthesis and design of processing networks; 3. Cost of capital; 4. Demonstration example: the Network Benchmarking Problem; 5. Conclusions and Future Works; References; De Novo Molecular Design using a Graph-Based Genetic Algorithm Approach; Abstract 327 $a1. Background2. Methodology; 3. Case Study; 4. Results and Conclusions; References; Assessment of Solvent Degradation within a Global Process Model of Post-Combustion CO2 Capture; Abstract; 1. Introduction; 2. Experimental study; 3. Model construction; 4. Simulation results; 5. Conclusions; Acknowledgements; References; A Cyclin Distributed Cell Cycle Model in GS-NS0; Abstract; 1. Introduction; 2. Experimental set-up and Mathematical model; 3. Results and Discussion; 4. Conclusions and Future work; Acknowledgements; References 327 $aThe Good, the Bad, and Your Real Choices - Decision Support for Energy Systems Synthesis through Near-Optimal Solutions AnalysisAbstract; 1. Introduction; 2. Decision support through near-optimal solutions analysis; 3. Industrial synthesis problem; 4. District synthesis problem; 5. Conclusions; Acknowledgements; References; Achieving More Sustainable Designs through a Process Synthesis-Intensification Framework; Abstract; 1. Introduction; 2. Process Synthesis-Intensification Framework; 3. Case Study; 4. Conclusions; References 327 $aSuperstructure Development and Optimization under Uncertainty for Design and Retrofit of Municipal Wastewater Treatment PlantsAbstract; 1. Introduction; 2. Framework for synthesis and design of WWTP networks under uncertainty; 3. Case Study: Benchmark Wastewater Treatment Plant; 4. Conclusions and Future Works; References; Scale-up and Techno-economical Study for the Production of Polyesters from Glycerol; Abstract; 1. Introduction; 2. Methodology; 3. Results; 4. Conclusions; Acknowledgments; References; Uncertainty Analysis in Raw Material and Utility Cost of Biorefinery Synthesis and Design 327 $aAbstract1. Introduction; 2. Framework; 3. Uncertainty analysis of a superstructure-based optimization; 4. Conclusion; References; Rigorous Optimization-based Synthesis of Distillation Cascades without Integer Variables; Abstract; 1. Introduction; 2. A New Distillation Model; 3. Example 1 - A Single Idealized Cascade ; 4. Example 2 - Cryogenic Air Separation Unit Synthesis ; 5. Conclusions; Acknowledgments; References; The Virtual Product-Process Design Laboratory for Structured Chemical Product Design and Analysis; Abstract; 1. Chemical Product Design; 2. The Generic Workflow 327 $a3. The Templates 330 $aThe 24th European Symposium on Computer Aided Process Engineering creates an international forum where scientific and industrial contributions of computer-aided techniques are presented with applications in process modeling and simulation, process synthesis and design, operation, and process optimization. The organizers have broadened the boundaries of Process Systems Engineering by inviting contributions at different scales of modeling and demonstrating vertical and horizontal integration. Contributions range from applications at the molecular level to the strategic level of the supply cha 410 0$aComputer-aided chemical engineering ;$v33. 517 1 $aTwenty-fourth European Symposium on Computer Aided Process Engineering 606 $aChemical process control$xData processing$vCongresses 606 $aChemical process control$xInstruments$vCongresses 606 $aComputer integrated manufacturing systems$vCongresses 615 0$aChemical process control$xData processing 615 0$aChemical process control$xInstruments 615 0$aComputer integrated manufacturing systems 676 $a660.28002854 702 $aKlemes?$b Jir?i? Jaromi?r 702 $aVarbanov$b Petar Sabev 702 $aLiew$b Peng Yen 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910807614703321 996 $a24th European Symposium on Computer Aided Process Engineering$93914151 997 $aUNINA