Refinery Process Modeling
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Refinery Process Modeling: A Practical Guide to Steady State Modeling of Petroleum Process
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George G. Neural Networks in Bioprocessing and Chemical Engineering. Physical Cleaning of Coal. Kevin R. Refinery Engineering. Ai-Fu Chang.
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Your display name should be at least 2 characters long. At Kobo, we try to ensure that published reviews do not contain rude or profane language, spoilers, or any of our reviewer's personal information. You submitted the following rating and review. We'll publish them on our site once we've reviewed them. Continue shopping. Item s unavailable for purchase. The text shows how to filter through the extensive data available at the refinery and using plant data to begin calibrating available models and extend the models to include key fractionation sub-models. It provides a sound and informed basis to understand and exploit plant phenomena to improve yield, consistency, and performance.
In addition, the authors offer information on applying models in an overall refinery context through refinery planning based on linear programming. This important resource: -Offers the basic information of thermodynamics and physical property predictions of hydrocarbon components in the context of process modeling -Uses the key concepts of fractionation lumps and physical properties to develop detailed models and workflows for atmospheric CDU and vacuum VDU distillation units -Discusses modeling FCC, catalytic reforming and hydroprocessing units Written for chemical engineers, process engineers, and engineers for measurement and control, this resource explores the advanced simulation tools and techniques that are available to support experienced and aid new operators and engineers.
Petroleum Refinery Process Modeling
About the Author Y. Professor Liu devoted his school breaks helping petrochemical industries in developing countries and chemical industries in Virginia with technology development and engineering training. He has taught intensive training courses on computer-aided design, advanced process control, energy and water savings, and refinery and polymerization process modeling to over 7, practicing engineers in China, Taiwan and United States. Ai-Fu Chang received his Ph. He received his B. He completed his doctoral dissertation on integrated process modeling and product design of biodiesel manufacturing, and refinery reaction and fraction systems.
Procedures for estimating incomplete laboratory test information. Development of pseudo-components to represent petroleum. Practical thermodynamic information. Understandable approach to modeling distillation. General technical information for processes. Test data collection and reconciliation for processes. Simulation techniques for refinery reaction systems. Simulation procedures for processes. Processes included are: -Crude and vacuum distillation -FCC processes -Catalytic reforming processes -Hydrogen processes -Thermal processes -Alkylation processes -Miscellaneous processes.
The reader will gain a working knowledge of the petroleum refining processes.