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    Refinery Operational Excellence: IIoT-Enabled Digital Twin

    Refinery Operational Excellence by Malhotra, Ashwani; Saroha, Anil K.;

    IIoT-Enabled Digital Twin

      • GET 20% OFF

      • The discount is only available for 'Alert of Favourite Topics' newsletter recipients.
      • Publisher's listprice GBP 80.99
      • The price is estimated because at the time of ordering we do not know what conversion rates will apply to HUF / product currency when the book arrives. In case HUF is weaker, the price increases slightly, in case HUF is stronger, the price goes lower slightly.

        36 566 Ft (34 825 Ft + 5% VAT)
      • Discount 20% (cc. 7 313 Ft off)
      • Discounted price 29 253 Ft (27 860 Ft + 5% VAT)
      • Discount is valid until: 30 June 2026

    32 910 Ft

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    Availability

    Estimated delivery time: In stock at the publisher, but not at Prospero's office. Delivery time approx. 3-5 weeks.
    Not in stock at Prospero.

    Why don't you give exact delivery time?

    Delivery time is estimated on our previous experiences. We give estimations only, because we order from outside Hungary, and the delivery time mainly depends on how quickly the publisher supplies the book. Faster or slower deliveries both happen, but we do our best to supply as quickly as possible.

    Product details:

    • Edition number 1
    • Publisher CRC Press
    • Date of Publication 30 March 2026

    • ISBN 9781041223184
    • Binding Paperback
    • No. of pages174 pages
    • Size 234x156 mm
    • Weight 320 g
    • Language English
    • Illustrations 61 Illustrations, black & white; 2 Halftones, black & white; 59 Line drawings, black & white; 10 Tables, black & white
    • 691

    Categories

    Short description:

    This book examines the integration of Chemical Engineering principles with IIoT technologies, such as AI and ML, to optimize refinery operations. Organized into four sections—Introduction, Equipment Twin, Instrumentation, and Refinery Applications.

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    Long description:

    Refineries face persistent challenges in improving energy efficiency, ensuring crude availability, and implementing process safety, with excessive energy consumption being particularly difficult to address. This book explores the integration of chemical engineering principles with Industrial Internet of Things (IIoT) technologies, including artificial intelligence (AI), to optimize refinery operations. This book is organized into four sections – Introduction, Equipment Twin, Instrumentation, and Refinery Application. This book emphasizes the use of digital tools and engineering fundamentals to enhance equipment design and operational efficiency.


    Key Features:



    • Focuses on the intersection of chemical engineering, refinery operations, and digital technologies, particularly IIoT and Digital Twin (DT) applications.

    • Explains setup procedures, process simulation with feed characterization, thermodynamic model selection and equipment specification.

    • Reviews current refinery challenges such as energy efficiency, predictive maintenance and decarbonization goals.

    • Details the development of IIoT applications for three refinery units: sour water stripper unit, amine regeneration unit, and crude and vacuum distillation unit.

    • Includes case studies and first-principle-based simulation strategies.

    This book is intended for engineering graduate students, chemical engineering researchers, and refinery professionals.

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    Table of Contents:

    1. Introduction to IIoT  2. Introduction to Digital Twin  3. Centrifugal Pump Operation 4. Distillation Column Internals Operation  5. Fired Heaters. 6. Heat Exchanger  7. Instrumentation 8. Sour Water Stripper Unit 9. Amine Regeneration Unit 10. Crude and Vacuum Distillation Unit

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