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 Combined Cycle and Cogeneration Plant Modelling E2603 QR Code
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Combined Cycle and Cogeneration Plant Modelling

Overview:

Introduction:

This training program offers participants a comprehensive understanding of the modelling and simulation techniques used in combined cycle and cogeneration plants. It empowers them to improve operational decision-making and achieve greater energy efficiency.

Program Objectives:

At the end of this program, participants will be able to:

  • Understand the principles and operation of combined cycle and cogeneration plants.

  • Learn techniques for modelling and simulating plant performance.

  • Develop skills in optimizing plant efficiency and reliability.

  • Gain insights into the use of software tools for plant modelling.

  • Enhance capabilities in analyzing and interpreting simulation results.

Targeted Audience:

  • Plant Engineers.

  • Process Engineers.

  • Operations Managers.

  • Energy Analysts.

  • Maintenance Technicians.

  • Engineering Consultants.

Program Outline:

Unit 1:

Fundamentals of Combined Cycle and Cogeneration Plants:

  • Overview of combined cycle and cogeneration plant concepts and configurations.

  • Understanding the thermodynamic cycles involved in plant operation.

  • Key components and their functions in combined cycle and cogeneration plants.

  • Efficiency and performance metrics for plant evaluation.

  • Case studies on different types of combined cycle and cogeneration plants.

Unit 2:

Modelling Techniques for Plant Performance:

  • Introduction to modelling and simulation principles.

  • Techniques for creating accurate models of plant systems.

  • Selecting appropriate modelling tools and software.

  • Input data requirements and validation of models.

  • Exercises on developing basic plant models.

Unit 3:

Simulation of Plant Operations:

  • Setting up and running simulations for plant operation scenarios.

  • Analyzing the impact of different operating conditions on plant performance.

  • Using simulation results to identify performance bottlenecks.

  • Techniques for dynamic simulation and transient analysis.

Unit 4:

Optimization of Plant Efficiency:

  • Methods for optimizing plant performance and efficiency.

  • Identifying and implementing energy-saving measures.

  • Techniques for enhancing the reliability and availability of plant operations.

  • Using optimization algorithms and tools.

  • Real-world examples of successful plant optimization projects.

Unit 5:

Interpretation and Application of Simulation Results:

  • Techniques for analyzing and interpreting simulation data.

  • Developing actionable insights from simulation results.

  • Communicating findings and recommendations to stakeholders.

  • Step for implementing changes based on simulation outcomes.

  • Case studies on the application of simulation results in plant operations.

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