26 European Symposium on Computer Aided Process Engineering by Zdravko Kravanja PDF

By Zdravko Kravanja

26th eu Symposium on desktop Aided method Engineering comprises the papers provided on the twenty sixth ecu Society of Computer-Aided method Engineering (ESCAPE) occasion held at Portorož Slovenia, from June 12th to June 15th, 2016.

Themes mentioned on the convention contain Process-product Synthesis, layout and Integration, Modelling, Numerical research, Simulation and Optimization, method Operations and keep an eye on and schooling in CAPE/PSE.

  • Presents findings and discussions from the twenty sixth ecu Society of Computer-Aided approach Engineering (ESCAPE) Event

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Caballero The sour water comes from different sources: vacuum distillation units, FCC fractionators, crude distillation units, and washing from petrochemical complex. The water from the petrochemical complex contains ethanol and ethyl tert-butyl ether (ETBE). This stream is sent to a stripper where a rich-gas in ethanol is recovered. Water from the other sources is sent to flash drums, where hydrocarbons are removed. After the flash drums, sour water is sent to a first set of strippers (strippers E1, E2 and E3 in Figure 1) where ammonia and H2S are removed.

Global Dynamic Optimization Methods Recent advancements in computing technologies and over a decade of academic research in global dynamic optimization have culminated in the development of advanced methods that can guarantee finding globally optimal solutions of parameter estimation problems for ODE systems (B. B. I. B. I. B. W. I. H. K. I. Barton, 2010, 2013a,b; Y. A. K. Scott, B. I. M. Sahlodin and B. B. W. I. H. Green, 2006; Y. A. B. I. Barton, 2006). In the academic setting, there are host of software available to help solve (4) for dynamical systems.

Poboß, H. Dieter, A. Gredinger, M. Scheffknecht, 2012, Operation and results of a 200-kWth dual fluidized bed pilot plant gasifier with adsorption m. enhanced reforming, Biomass Conversion and Biorefinery, 2, 3, 217 – 227. R. Mikulandrić, D. Lončar, D. Böhning, R. Böhme, M. Beckmann, Artificial neural network modelling approach for a biomass gasification process in fixed bed gasifiers, 2014, Energy Conversion and Management, 87, 1210-1223. M. Puig-Arnavat, J. Alfredo Hernández, J. Carles Bruno, A.

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