Khor cheng seong (27 resultados)

Paperback. Condición: Very Good. Estado de la sobrecubierta: No Jacket as Issued. CX3 - A paperback book in very good condition that has some bumped corners, light discoloration and shelf wear. A Hybrid of Stochastic Programming Approaches with Economic and Operational Risk Management. 9"x6", 288 pages. Satisfaction Guaranteed. This work proposes a hybrid of stochastic programming (SP) approaches for an optimal midterm refinery planning that addresses three forms of uncertainties: prices of crude oil and products, demands, and yields. An SP technique that utilizes compensating slack variables is employed to explicitly account for constraint violations to increase model tractability. Four approaches are considered to achieve solution and model robustness: (1) the Markowitz's mean-variance (MV) model to handle randomness in the objective coefficients by minimizing the variance (economic risk) of the expected value of the random coefficients; (2) the two-stage SP with fixed recourse to deal with randomness in the RHS and LHS coefficients of the constraints by minimizing the expected recourse costs; (3) incorporation of the MV model within the framework in (2) to formulate a mean?risk model that minimizes the expectation and the operational risk measure of variance of the recourse costs; and (4) reformulation of the model in (3) by adopting mean-absolute deviation (MAD) as the operational risk measure imposed by the recourse costs for a novel refinery planning application. A numerical example is illustrated. Size: 8vo - over 7¾" - 9¾" tall.…

Condición: New.

Condición: As New. Unread book in perfect condition.

Condición: New.

Condición: New.

Condición: New. In English.

Condición: As New. Unread book in perfect condition.

Condición: As New. Unread book in perfect condition.

Hardcover. Condición: New.

Condición: New.

Condición: New.

Condición: New. In English.

Hardback. Condición: 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.…

Condición: As New. Unread book in perfect condition.

Buch. Condición: 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.…

Buch. Condición: 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.…

Condición: New.

Taschenbuch. Condición: Neu. Optimization Strategies: Petroleum Refinery Planningunder Uncertainty | A Hybrid of Stochastic Programming Approaches withEconomic and Operational Risk Management | Cheng Seong Khor | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2011 | VDM Verlag Dr. Müller | EAN 9783836477925 | Verantwortliche Person für die EU: OmniScriptum GmbH & Co. KG, Bahnhofstr. 28, 66111 Saarbrücken, info[at]akademikerverlag[dot]de | Anbieter: preigu.…

Buch. Condición: 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.…

Buch. Condición: Neu. Model-Based Optimization for Petroleum Refinery Configuration Design | Cheng Seong Khor | Buch | 256 S. | Englisch | 2024 | Wiley-VCH | EAN 9783527347414 | Verantwortliche Person für die EU: Wiley-VCH GmbH, Boschstr. 12, 69469 Weinheim, product-safety[at]wiley[dot]com | Anbieter: preigu.…

Condición: New.

Condición: New.

Hardback. Condición: 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.…

PAP. Condición: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

PAP. Condición: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Kartoniert / Broschiert. Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Khor Cheng SeongCheng Seong Khor is a lecturer-cum-researcher at the PETRONASnUniversity of Technology. His research interests involves thenapplication of systemsnengineering and optimization to chemical process systemsnengineering (.…

Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This work proposes a hybrid of stochastic programming(SP) approaches for an optimal midterm refineryplanning that addresses three forms of uncertainties:prices of crude oil and products, demands, andyields. An SP technique that utilizes compensatingslack variables is employed to explicitly account forconstraint violations to increase model tractability.Four approaches are considered to achieve solutionand model robustness: (1) the Markowitz'smean-variance (MV) model to handle randomness in theobjective coefficients by minimizing the variance(economic risk) of the expected value of the randomcoefficients; (2) the two-stage SP with fixedrecourse to deal with randomness in the RHS and LHScoefficients of the constraints by minimizing theexpected recourse costs; (3) incorporation of the MVmodel within the framework in (2) to formulate amean risk model that minimizes the expectation andthe operational risk measure of variance of therecourse costs; and (4) reformulation of the model in(3) by adopting mean-absolute deviation (MAD) as theoperational risk measure imposed by the recoursecosts for a novel refinery planning application. Anumerical example is illustrated. …