Fossil Fuels

Refinery Engineering Integrated Process Modeling and by Ai-Fu Chang

Posted On February 25, 2017 at 2:59 pm by / Comments Off on Refinery Engineering Integrated Process Modeling and by Ai-Fu Chang

By Ai-Fu Chang

A pioneering and complete creation to the complicated topic of built-in refinery procedure simulation, utilizing a few of the instruments and methods at the moment hired in smooth refineries.
Adopting a scientific and sensible process, the authors contain the speculation, case experiences and hands-on workshops, explaining how you can paintings with genuine data.
consequently, senior-level undergraduate and graduate scholars, in addition to commercial engineers how you can increase and use the most recent computing device types for the predictive modeling and optimization of built-in refinery processes.
extra fabric is offered on-line supplying proper spreadsheets and simulation records for all of the types and examples offered within the book.

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Extra resources for Refinery Engineering Integrated Process Modeling and Optimization

Example text

27 28 1 Characterization, Physical and Thermodynamic Properties of Oil Fractions Step 16: Go to “table” tab to check the generated pseudocomponents. 36 The pseudocomponents used to represent the cut or blend. Step 17: Close the window in previous step. And then, go to “install oil” tab, check “install” box and enter stream name (it is oil in this case). 37 Install the cut/blend into simulation. 4 – Duplicate the Oil Fraction in Aspen HYSYS Petroleum Refining Step 18: Click “return to basis environment”.

2 Relationship between pseudocomponent properties and the TBP curve (redraw from [1]). 2 Typical boiling-point ranges for pseudocomponents in commercial process simulators. Boiling-point Range Suggested Number of Pseudocomponents IBP to 800 °F (425 °C) 30 800 °F to 1200 °F (650 °C) 10 1200 °F to 1650 °F (900 °C) 8 – Assume the UOP or Watson-Murphy “characterization factor” or K factor to be constant throughout the entire boiling range and calculate mean-average boiling point (MeABP). Dissimiliar to weight-average boiling point (WABP), MeABP is defined as the average of molal-average boiling point (MABP) and cubic-average boiling point (CABP).

Most commercial process simulators include the capability to generate pseudocomponents based on boiling-point ranges representing the oil fractions. 4 will demonstrate how to use Aspen HYSYS to generate pseudocomponents based on boiling-point ranges for a given oil fraction with required analysis data. Conventionally, there are four steps to develop pseudocomponents based on boiling-point ranges to represent petroleum fraction: 1. 1); 2. 2): – The determination of number of cuts is arbitrary. 2 lists the typical boiling-point ranges for pseudocomponents in commercial simulators.

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