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

By Zdravko Kravanja

ISBN-10: 0444634282

ISBN-13: 9780444634283

ISBN-10: 0444634444

ISBN-13: 9780444634443

ISBN-10: 0444638733

ISBN-13: 9780444638731

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

Themes mentioned on the convention comprise Process-product Synthesis, layout and Integration, Modelling, Numerical research, Simulation and Optimization, approach Operations and regulate 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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Extra info for 26 European Symposium on Computer Aided Process Engineering

Example text

The performed analysis was based on the parameters considered as essential to accomplish the mission of the Efenis project, which defined its main objective as: “To facilitate and accelerate a move to low carbon manufacturing processes and site management by deployment and demonstration of innovative energy management systems and enabling efficiency technologies, which extend the scope of energy management outside the boundaries of a single plant to total site and then beyond the total site to district heating/cooling systems”.

A. 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.

Despite the popularity of these software in the academic setting, the complexity of these advanced methods coupled with limited understanding of optimization theory often precludes practitioners PERKS: Software for Parameter Estimation in Reaction Kinetic Systems 27 Figure 1: A screen shot of PERKS main GUI. The sequence of commands or steps required to estimate the parameters of a reaction network model in PERKS is marked A through F. from actively using it. The disconnect between the global dynamic optimization community and practitioners is further widened due to the lack of common mathematical and computational platforms understood and appreciated by all.

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26 European Symposium on Computer Aided Process Engineering by Zdravko Kravanja


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