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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.
Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.
Informazioni sull'autore
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.
Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.
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Hardback. Condizione: New. 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 refineriesHighlights the benefits of model-based solutions to refinery configuration design problemsFeatures detailed case studies of the development and implementation of optimization modelsDiscusses economic considerations of heavy oil processing, including cash flow analysis of refinery costs and return on capitalIncludes 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. Codice articolo LU-9783527347414
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Buch. Condizione: Neu. Neuware -Model-Based Optimization for Petroleum Refinery Configuration DesignAn accessible, easy-to-read introduction to the methods of mixed-integer optimization, with practical applications, real-world operational data, and case studiesInterest 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 technologiesModel-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. 256 pp. Englisch. Codice articolo 9783527347414
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Buch. Condizione: Neu. Neuware -Model-Based Optimization for Petroleum Refinery Configuration DesignAn accessible, easy-to-read introduction to the methods of mixed-integer optimization, with practical applications, real-world operational data, and case studiesInterest 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 technologiesModel-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. 256 pp. Englisch. Codice articolo 9783527347414
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