Chang, A: Refinery Engineering

1. Auflage 2012
ISBN: 978-3-527-33357-8
Verlag: Wiley VCH Verlag GmbH

Buch, Englisch, 498 Seiten, Format (B × H): 170 mm x 238 mm, Gewicht: 1014 g

A pioneering and comprehensive introduction to the complex subject of integrated refinery process simulation, using many of the tools and techniques currently employed in modern refineries.
Adopting a systematic and practical approach, the authors include the theory, case studies and hands-on workshops, explaining how to work with real data.
As a result, senior-level undergraduate and graduate students, as well as industrial engineers learn how to develop and use the latest computer models for the predictive modeling and optimization of integrated refinery processes.
Additional material is available online providing relevant spreadsheets and simulation files for all the models and examples presented in the book.

Autoren/Hrsg.

Chang, Ai-Fu

Pashikanti, Kiran

Liu, Y. A.

Fachgebiete

• Technische Wissenschaften Verfahrenstechnik | Chemieingenieurwesen | Biotechnologie Chemische Anlagen
• Wirtschaftswissenschaften Wirtschaftssektoren & Branchen Energie- & Versorgungswirtschaft Öl- und Gasindustrie

Inhaltsverzeichnis

PREFACECHARACTERIZATION, PHYSICAL AND THERMODYNAMIC PROPERTIES OF OIL FRACTIONSCrude AssayPseudocomponent Generation Based on Boiling-Point RangesWorkshop 1.1 - Interconvert Distillation CurvesWorkshop 1.2 - Extrapolate an Incomplete Distillation CurveWorkshop 1.3 - Calculate MeABP of a Given AssayWorkshop 1.4 - Duplicate the Oil Fraction in Aspen HYSYS/RefiningProperty Requirements for Refinery Process ModelsPhysical PropertiesProcess ThermodynamicsMiscellaneous Physical Properties for Refinery ModelingConclusionsNomenclatureReferencesATMOSPHERIC DISTILLATION UNITIntroductionScope of the ChapterProcess OverviewModel DevelopmentFeed CharacterizationData Requirements and ValidationRepresentative Atmospheric Distillation UnitBuilding the Model in Aspen HYSYSResultsModel Applications to Process OptimizationWorkshop 2.1 - Rebuild Model Using "Backblending" ProcedureWorkshop 2.2 - Investigate Changes in Product Profiles with New Product DemandsConclusionsNomenclatureReferencesVACUUM DISTILLATION UNITProcess DescriptionData ReconciliationModel ImplementationModel Applications toProcess Optimization - VDU Deep-Cut OperationWorkshop - Using Aspen HYSYS/Refining to Implement Deep-Cut OperationReferencesPREDICTIVE MODELING OF THE FLUID CATALYTIC CRACKING (FCC) PROCESSIntroductionProcess DescriptionProcess ChemistryLiterature ReviewAspen HYSYS/Petroleum Refining FCC ModelCalibrating the Aspen HYSYS/Petroleum Refining FCC ModelFractionationMapping Feed Information to Kinetic LumpsOverall Modeling StrategyResultsModel Applications to Process OptimizationModel Application to Refinery Production PlanningWorkshop 4.1: Guide for Modeling FCC Units in Aspen HYSYS/Petroleum RefiningWorkshop 4.2: Calibrating Basic FCC ModelWorkshop 4.3: Build Main Fractionator and Gas Plant SystemWorkshop 4.4: Model Applications to Process Optimization -Perform Case Study to Identify Different Gasoline Production ScenariosWorkshop 4.5: Model Application to Production Planning- Generate DELTA-BASE Vectors for Linear-Programming (LP)-Based Production PlanningConclusionsNomenclatureReferencesPREDICTIVE MODELING OF THE CONTINUOUS CATALYST REGENERATION (CCR)REFORMING PROCESSIntroductionProcess OverviewProcess ChemistryLiterature ReviewAspen HYSYS/Petroleum Refining Catalytic Reformer ModelThermophysical PropertiesFractionation SystemFeed CharacterizationModel ImplementationOverall Modeling StrategyResultsModel Applications to Process OptimizationModel Applications to Refinery Production PlanningWorkshop 5.1: Guide for Modeling CCR Units in Aspen HYSYS/Petroleum RefiningWorkshop 5.2: Model CalibrationWorkshop 5.3: Build a Downstream FractionationWorkshop 5.4: Case Study to Vary RON and Product Distribution ProfileConclusionsNomenclatureReferencesPREDICTIVE MODELING OF THE HYDROPROCESSING UNITSIntroductionAspen HYSYS/Refining HCR Modeling ToolProcess DescriptionModel DevelopmentModeling Results of MP HCR ProcessModeling Results of HP HCR ProcessModel Applications to Process OptimizationModel Application - Delta-Base Vector GenerationConclusionWorkshop 6.1 - Build Preliminary Reactor Model of HCR ProcessWorkshop 6.2 - Calibrate Preliminary Reactor Model to Match Plant DataWorkshop 6.3 - Model Applications to Process OptimizationWorkshop 6.4 - Connect Reactor Model to Fractionator SimulationNomenclatureReferences

Über Autor(innen)

Ai-Fu Chang received his Ph.D. in the Department of Chemical Engineering at Virginia Polytechnic Institute and State University in September, 2011. He received his B.S. in chemical engineering from National Taiwan University in 2001. He completed his doctoral dissertation on integrated process modeling and product design of biodiesel manufacturing, and refinery reaction and fractionation systems. The latter was the basis of this textbook. He has worked on several industrial modeling projects, including poly(acrylonitrile-vinyl acetate), hydrocracking, and biodiesel. These projects were collaborative efforts between Virginia Tech, Aspen Technology, and industrial manufacturers. He is currently employed by Chevron Phillips Chemical Company.Kiran Pashikanti was a PhD student in the Department of Chemical Engineering at Virginia Tech. He received his B.S. in chemical engineering from Virginia Commonwealth University in 2005, and his Ph.D. in chemical engineering from Virginia Tech in September, 2011. He has worked on several industrial modeling projects on integrated modeling of reaction and fractionation systems, and of carbon-dioxide capture processes. This textbook grows out of his doctoral dissertation on the predictive modeling of fluid catalytic cracking and catalytic reforming processes. He is currently employed by Chevron Phillips Chemical Company.Prof. Y.A. Liu is the Frank C. Vilbrandt Endowed Professor of Chemical Engineering at Virginia Polytechnic Institute and State University. He received his B.S. (1967), M.S. (1970), and Ph.D. (1974) degrees from National Taiwan University, Tufts University and Princeton University, respectively. He has published numerous papers and eight books, including four pioneering chemical engineering textbooks on artificial intelligence in chemical engineering (with Thomas E. Quantrille) and on neural networks in bioprocessing and chemical engineering (with D. Richard Baughman). Professor Liu's contributions to chemical engineering teaching and research have been recognized by university, national and international awards and he is a Fellow of the American Institute of Chemical Engineers. For his contributions to teaching, research and industrial outreach, he received the Virginia Outstanding Faculty Award from Governor Jim Gilmore in 2000. He also received the National Friendship Award from China's Premier Zhu Ronjie in 2000.