Model-Based Optimization for Petroleum Refinery Configuration Design 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.
Environmental considerations are increasingly affecting the profit margins of petroleum refineries and thus ought to be taken into account in the design and operations of refineries. This chapter is divided into three main parts, each addressing the three major types of environmental pollution related to the operations of a petroleum refinery: water pollution, air pollution, and noise pollution. The structure adopted in the systematic exposition of these different pollution types typically begins with the sources and characteristics of the pollutants and the consequences or effects that these pollutants bring about. Next, the related environmental regulations are covered in general. Subsequently, the associated reduction, control, and treatment technologies for the removal of the pollutants are presented in light of the legislative requirements. In the spirit of keeping up with up-to-date developments, the paper also discusses how the refining industry is reacting to global concerns over climate change as induced by greenhouse gas emissions, particularly carbon dioxide, as part of a suite of measures in the framework of refinery environmental management. The chapter concludes with a general outlook of the shape of events to come, particularly in view of the anticipated impending massive effects of global climate change.
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.
This chapter presents a primer on the concepts, systems, and mechanisms of the trading, costing, pricing, and valuation of crude oils and petroleum products. We introduce features of the physical oil and financial paper markets that adopt marker crude oils as pricing benchmarks. To gain a quick appreciation for how the oil markets have evolved, we then present a historical perspective on international crude oil supply, trading, and pricing. Next, we consider the fundamental parameters of the oil markets and the various factors that affect crude oil pricing, including the different sources of price information. We discuss the various mechanisms in which crude oils are priced and how price differentials among different crudes are set to allow the consideration of various important factors. We subsequently extend the analysis to the pricing of petroleum products. Finally, the understanding gained is used to appreciate the roles of costs and profit margins for economic evaluations in the refining industry.
Thank you for visiting our website. Would you like to provide feedback on how we could improve your experience?
This site does not use any third party cookies with one exception — it uses cookies from Google to deliver its services and to analyze traffic.Learn More.