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Image of - Sustainable Engineering Process Intensification Energy Analysis Artificial Intelligence | Hardcover
Sustainable Engineering Process Intensification Energy Analysis Artificial Intelligence | Hardcover

Sustainable Engineering Process Intensification Energy Analysis Artificial Intelligence | Hardcover

by Demirel Y.

Sustainable engineering is of great importance for resilient and agile technology and society. This book balances economics, environment, and societal elements of sustainable engineering by integrating process intensification, energy analysis, and artificial intelligence to reduce production costs, improve the use of material and energy, product quality, safety, societal well-being, and water usage. The book provides comprehensive discussion of topics on process intensification, energy analysis, and artificial intelligence that include optimization, energy integration, green engineering, pinch analysis, exergy analysis, feasibility analysis, life cycle assessment, circular economy, bioeconomy, data processing, machine learning, expert systems, digital twins, and self-optimized plants for sustainable engineering.

Highlights

  • binding-icon

    9781032042404

    ISBN:

  • binding-icon

    Demirel Y.

    Author:

  • binding-icon

    402

    Pages:

  • binding-icon

    4100 gm

    Weight:

  • langauage-icon

    English

    Language:

  • date-icon

    2023

    Year:

  • edition-icon

    1st Edition

    Edition:

  • binding-icon

    Hardcover

    Binding:

15054

18818

Sustainable engineering is of great importance for resilient and agile technology and society. This book balances economics, environment, and societal elements of sustainable engineering by integrating process intensification, energy analysis, and artificial intelligence to reduce production costs, improve the use of material and energy, product quality, safety, societal well-being, and water usage. The book provides comprehensive discussion of topics on process intensification, energy analysis, and artificial intelligence that include optimization, energy integration, green engineering, pinch analysis, exergy analysis, feasibility analysis, life cycle assessment, circular economy, bioeconomy, data processing, machine learning, expert systems, digital twins, and self-optimized plants for sustainable engineering.

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