Model-Based Optimization for Petroleum Refinery Configuration Design

This book introduces model-based optimization as an emerging practice in the industry. The topics like petroleum refining processes, refinery basic economics, basic concepts in mathematical programming, applications of mathematical programming for refinery optimization are covered. More importantly, case studies related to practical refinery configuration design, retrofit and issues with industrial size and significance are emcomprassed. It will benefit the technically-inclined reader as an accessible, easy-to-read introduction to the methods of mixed-integer optimization with practical applications.

Autorentext
Khor Cheng Seong obtained his PhD degree from Imperial College London, UK and masters from University of Waterloo, Canada, both in chemical engineering with research topics on optimization applications for the process industries. He is affiliated with the Chemical Engineering Department at Universiti Teknologi PETRONAS. He has been involved in several consultancy projects and studies applying modeling and optimization to industrial problems.

Klappentext

An accessible, easy-to-read introduction to the methods of mixed-integer optimization, with practical applications, real-world operational data, and case studies Interest in model-based approaches for optimizing the design of petroleum refineries has increased throughout the industry in recent years. Mathematical optimization based on mixed-integer programming has brought about the superstructure optimization method for synthesizing petroleum refinery configurations from multiple topological alternatives. Model-Based Optimization for Petroleum Refinery Configuration Design presents a detailed introduction to the use of mathematical optimization to solve both linear and nonlinear problems in the refining industry. The book opens with an overview of petroleum refining processes, basic concepts in mathematical programming, and applications of mathematical programming for refinery optimization. Subsequent chapters address superstructure representations of topological alternatives, mathematical formulation, solution strategies, and various modeling frameworks. Practical case studies demonstrate refinery configuration design, refinery retrofitting, and real-world issues and considerations.

• Presents linear, nonlinear, and mixed-integer programming approaches applicable to both new and existing petroleum refineries
• Highlights the benefits of model-based solutions to refinery configuration design problems
• Features detailed case studies of the development and implementation of optimization models
• Discusses economic considerations of heavy oil processing, including cash flow analysis of refinery costs and return on capital

• Includes numerical examples based on real-world operational data and various commercial technologies Model-Based Optimization for Petroleum Refinery Configuration Design is an invaluable resource for researchers, chemical engineers, process and energy engineers, other refining professionals, and advanced chemical engineering students.

  Inhalt
  Chapter 1 Introduction to Optimization Modeling for Petroleum Refineries
  Chapter 2 Basic Petroleum Refinery Economics
  Chapter 3 Superstructure Representation
  Chapter 4 Modeling Framework
  Chapter 5 Model Formulation and Implementation
  Chapter 6 Solution Strategies
  Chapter 7 Industrial Case Studies with Business-Centric Techno-Commercial Considerations
  Chapter 8 Industrial Case Studies with Environmental-Centric Techno-Commercial Considerations
  Chapter 9 Industrial Case-Studies with Engineering-Centric Techno-Commercial Considerations
  Chapter 10 Summary and Conclusions