Refinery Engineering. Integrated Process Modeling and Optimization

  • ID: 2180164
  • Book
  • 522 Pages
  • John Wiley and Sons Ltd
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Petroleum refining is one of the most important yet challenging industries, and continues to be a major contributor in the production of transportation fuels and chemicals. Current economic, regulatory and environmental concerns place significant pressure on refiners to upgrade and optimize the refining process. At the same time, new product demands are urging refiners to explore alternative processing units and feedstocks.

This textbook represents a pioneering and comprehensive introduction to this complex subject, using many of the tools and techniques currently employed in modern refinery process simulation.

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.

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PREFACE

CHARACTERIZATION, PHYSICAL AND THERMODYNAMIC PROPERTIES OF OIL FRACTIONS

Crude Assay

Pseudocomponent Generation Based on Boiling–Point Ranges

Workshop 1.1 –

Interconvert Distillation Curves

Workshop 1.2 –

Extrapolate an Incomplete Distillation Curve

Workshop 1.3 –

Calculate MeABP of a Given Assay

Workshop 1.4 –

Duplicate the Oil Fraction in Aspen HYSYS/Refining

Property Requirements for Refinery Process Models

Physical Properties

Process Thermodynamics

Miscellaneous Physical Properties for Refinery Modeling

Conclusions

Nomenclature

References

ATMOSPHERIC DISTILLATION UNIT

Introduction

Scope of the Chapter

Process Overview

Model Development

Feed Characterization

Data Requirements and Validation

Representative Atmospheric Distillation Unit

Building the Model in Aspen HYSYS

Results

Model Applications to Process Optimization

Workshop 2.1 –

Rebuild Model Using "Backblending" Procedure

Workshop 2.2 –

Investigate Changes in Product Profiles with New Product Demands

Conclusions

Nomenclature

References

VACUUM DISTILLATION UNIT

Process Description

Data Reconciliation

Model Implementation

Model Applications toProcess Optimization –

VDU Deep–Cut Operation

Workshop –

Using Aspen HYSYS/Refining to Implement Deep–Cut Operation

References

PREDICTIVE MODELING OF THE FLUID CATALYTIC CRACKING (FCC) PROCESS

Introduction

Process Description

Process Chemistry

Literature Review

Aspen HYSYS/Petroleum Refining FCC Model

Calibrating the Aspen HYSYS/Petroleum Refining FCC Model

Fractionation

Mapping Feed Information to Kinetic Lumps

Overall Modeling Strategy

Results

Model Applications to Process Optimization

Model Application to Refinery Production Planning

Workshop 4.1: Guide for Modeling FCC Units in Aspen HYSYS/Petroleum Refining

Workshop 4.2: Calibrating Basic FCC Model

Workshop 4.3: Build Main Fractionator and Gas Plant System

Workshop 4.4: Model Applications to Process Optimization –Perform Case Study to Identify Different Gasoline Production Scenarios

Workshop 4.5: Model Application to Production Planning– Generate DELTA–BASE Vectors for Linear–Programming (LP)–Based Production Planning

Conclusions

Nomenclature

References

PREDICTIVE MODELING OF THE CONTINUOUS CATALYST REGENERATION (CCR)

REFORMING PROCESS

Introduction

Process Overview

Process Chemistry

Literature Review

Aspen HYSYS/Petroleum Refining Catalytic Reformer Model

Thermophysical Properties

Fractionation System

Feed Characterization

Model Implementation

Overall Modeling Strategy

Results

Model Applications to Process Optimization

Model Applications to Refinery Production Planning

Workshop 5.1: Guide for Modeling CCR Units in Aspen HYSYS/Petroleum Refining

Workshop 5.2: Model Calibration

Workshop 5.3: Build a Downstream Fractionation

Workshop 5.4: Case Study to Vary RON and Product Distribution Profile

Conclusions

Nomenclature

References

PREDICTIVE MODELING OF THE HYDROPROCESSING UNITS

Introduction

Aspen HYSYS/Refining HCR Modeling Tool

Process Description

Model Development

Modeling Results of MP HCR Process

Modeling Results of HP HCR Process

Model Applications to Process Optimization

Model Application –

Delta–Base Vector Generation

Conclusion

Workshop 6.1 –

Build Preliminary Reactor Model of HCR Process

Workshop 6.2 –

Calibrate Preliminary Reactor Model to Match Plant Data

Workshop 6.3 –

Model Applications to Process Optimization

Workshop 6.4 –

Connect Reactor Model to Fractionator Simulation

Nomenclature

References
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Ai–Fu Chang
Kiran Pashikanti
Y. A. Liu
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