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Author: Sravya Suryadevara
Publisher:
ISBN:
Category : Petroleum
Languages : en
Pages : 124
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Book Description
Author: Sravya Suryadevara
Publisher:
ISBN:
Category : Petroleum
Languages : en
Pages : 124
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Book Description
Author: Y. A. Liu
Publisher: John Wiley & Sons
ISBN: 3527813365
Category : Technology & Engineering
Languages : en
Pages : 600
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Book Description
A comprehensive review of the theory and practice of the simulation and optimization of the petroleum refining processes Petroleum Refinery Process Modeling offers a thorough review of how to quantitatively model key refinery reaction and fractionation processes. The text introduces the basics of dealing with the thermodynamics and physical property predictions of hydrocarbon components in the context of process modeling. The authors - three experts on the topic - outline the procedures and include the key data required for building reaction and fractionation models with commercial software. The text shows how to filter through the extensive data available at the refinery and using plant data to begin calibrating available models and extend the models to include key fractionation sub-models. It provides a sound and informed basis to understand and exploit plant phenomena to improve yield, consistency, and performance. In addition, the authors offer information on applying models in an overall refinery context through refinery planning based on linear programming. This important resource: -Offers the basic information of thermodynamics and physical property predictions of hydrocarbon components in the context of process modeling -Uses the key concepts of fractionation lumps and physical properties to develop detailed models and workflows for atmospheric (CDU) and vacuum (VDU) distillation units -Discusses modeling FCC, catalytic reforming and hydroprocessing units Written for chemical engineers, process engineers, and engineers for measurement and control, this resource explores the advanced simulation tools and techniques that are available to support experienced and aid new operators and engineers.
Author: Ai-Fu Chang
Publisher: John Wiley & Sons
ISBN: 3527666850
Category : Technology & Engineering
Languages : en
Pages : 521
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Book Description
A pioneering and comprehensive introduction to the complex subject of integrated refinery process simulation, using many of the tools and techniques currently employed in modern refineries. 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.
Author: Khalid Y. Al-Qahtani
Publisher: John Wiley & Sons
ISBN: 3527632131
Category : Technology & Engineering
Languages : en
Pages : 198
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Book Description
Clearly divided into three main sections, this practical book familiarizes readers with the area of planning in petroleum refining and petrochemical industry, while introducing several planning and modeling strategies encompassing single site refinery plants, multiple refinery networks, petrochemical networks, and refinery and petrochemical planning systems. It equally provides an insight into possible research directions and recommendations for the area of refinery and petrochemical planning. Furthermore, several appendices are included to explain the general background necessary, including stochastic programming, chance constraint programming, and robust optimization. For engineers and managers working in the petroleum industry as well as academic researchers in production, logistics, and supply chain management.
Author: Cheng Seong Khor
Publisher: John Wiley & Sons
ISBN: 3527826084
Category : Technology & Engineering
Languages : en
Pages : 261
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Book Description
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.
Author: Mohmmad Abdulwahhab Taher Al-Mayyahi
Publisher:
ISBN:
Category :
Languages : en
Pages : 40
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Book Description
Oil refineries are under increasing pressure to reduce CO2 emissions to assist global reductions in greenhouse gases under international treaties such as the Kyoto protocol. Moreover, the growing demand for oil products and the continuing push for cleaner distillates lead to substantial increases in energy consumption and therefore as a consequence higher CO2 emissions from these same refineries. Therefore, the ability to estimate accurately CO2 emissions (emissions targeting) has become very prominent in modern refineries. To meet these challenges and survive in today's very competitive fuel market, continuous optimization is imperative for refineries to raise their operations to new levels of performance. However, environmental and economic objectives often compete with one another and, thus, the best solution involves a trade-off between the different objectives. Multi-Objective Optimization (MOO) is a proven powerful optimization method to achieve a satisfactory trade-off between such competing or conflicting objectives.This thesis uses MOO for the first time to target CO2 emissions from refinery processes. For this purpose, a new MOO framework has been introduced to set a target for CO2 emissions from refinery processes and produce the trade-off solutions for the environmental and economic objectives of the refinery. The MOO framework includes rigorous mass and energy balance simulation, and process integration, and the genetic algorithm optimizer provides a comprehensive optimization approach. Rigorous models of the two most energy intensive oil refinery units, i.e. Crude Distillation Unit (CDU) and the Fluidized-bed Catalytic Cracker (FCC) and associated heat recovery system are analysed.The optimization approach is illustrated in different optimization problems of the refinery. The impacts of the crude type on the trade-off between the economic and environmental performances of the refinery units are studied and the optimum blend of different crudes is investigated. The crude type shows significant impacts on both the economic and environmental performance of the refinery units and a considerable amount of CO2 emissions can be avoided by changing the type of crude processed at minimum impact on the economic objectives. Different schemes of energy integration, namely, direct integration and total site, and their potential impacts on products revenue and CO2 emissions of the refinery are also studied.The trade-off between environmental and economic targets are also investigated in this thesis using a new graphical approach which can be used for targeting CO2 emissions associated with utility systems and energy resource networks. The optimization approach is used to target and allocate different energy resources to meet a specific energy demand and achieve both economic and environmental goals. This approach based on the principles of marginal energy cost and marginal CO2 emissions involves two new plots: the cost composite and CO2 emissions composite. These plots are used with the energy load shifting factor to shift between different alternative resources with minimum impacts on CO2 emissions and associated cost. The validity of the new graphical approach is demonstrated in two different cases of a single utility system for an industrial complex and for energy sector planning on a national basis. The principles of marginal energy cost and marginal CO2 emissions are also extended for predicting the optimal results of MOO, and therefore they provide a useful method for explaining the results from a purely stochastic algorithm. The results show that the accuracy of predicting the Pareto-optimal front using this method was excellent.
Author: Johannes Bisschop
Publisher: Lulu.com
ISBN: 1847539122
Category : Computers
Languages : en
Pages : 318
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Book Description
The AIMMS Optimization Modeling book provides not only an introduction to modeling but also a suite of worked examples. It is aimed at users who are new to modeling and those who have limited modeling experience. Both the basic concepts of optimization modeling and more advanced modeling techniques are discussed. The Optimization Modeling book is AIMMS version independent.
Author: Katta G. Murty
Publisher: Springer Nature
ISBN: 3030402126
Category : Business & Economics
Languages : en
Pages : 90
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Book Description
This book considers the problem of determining how many barrels of crude oil an oil-producing and exporting country should produce annually for export―along with several other important problems that decision-makers in the crude oil industry face―and discusses procedures for finding optimum solutions for them. It considers the important Objective Functions they need in making these critical decisions, and discusses procedures to find the best solutions. Outputs from the treatment units, in an oil refinery are only semi-finished products; these are blended into finished products like gasoline, diesel oil, etc., meeting various specifications that the marketplace demands. The book discusses models for solving these problems optimally with examples.
Author: Gerald L. Kaes
Publisher:
ISBN: 9780967927411
Category : Chemical process control
Languages : en
Pages : 36
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Book Description
Author: Rita Maria de Brito Alves
Publisher: Elsevier
ISBN: 0080963277
Category : Science
Languages : en
Pages : 1229
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Book Description
The 10th International Symposium on Process Systems Engineering, PSE'09, will be held in Salvador-Bahia, Brazil, on August 16–20, 2009. The special focus of PSE 2009 is Sustainability, Energy, and Engineering.PSE 2009 is the tenth in the triennial series of international symposia on process systems engineering initiated in 1982. The meeting brings together the worldwide PSE community of researchers and practitioners who are involved in the creation and application of computing-based methodologies for planning, design, operation, control and maintenance of chemical and petrochemical process industries. PSE'09 will look at how PSE methods and tools can support sustainable resource systems, emerging technologies in the areas of green engineering, and environmentally conscious design of industrial processes.- sustainable resource systems - emerging technologies in the areas of green engineering - environmentally conscious design of industrial processes
