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10. november 2023

Plant Design and Economic Analysis




3 Lessons

Total Duration

3.5 Hours


10. nov. 2023

About the Course

Techno-Economic Analysis in Process Design: Optimizing Efficiency and Profitability" is a specialized course tailored for engineers, researchers, and professionals in the field of process design. This course provides comprehensive training on integrating techno-economic analysis methodologies into the process design workflow. Participants will learn how to evaluate the economic viability of various design alternatives, optimize production processes, and make data-driven decisions. The course emphasizes the integration of technical, economic, and environmental factors for sustainable process design. Through theoretical insights, practical case studies, and hands-on simulations, participants will acquire the skills needed to conduct rigorous techno-economic analyses essential for efficient and profitable process design projects.

Course Schedule



10 November 2023

17:00 - 18:00 (Denmark Time)

11 November 2+23

14:00 - 15:00 (Denmark Time)

12 November 2023

14:00 - 15:30 (Denmark Time)

Learning Objectives

The key learning objectives of the course are:

  • Introduction to Techno-Economic Analysis in Process Design:

    Participants will understand the significance of techno-economic analysis in process design projects. The course will cover the integration of technical, economic, and environmental considerations for holistic evaluations.

  • Data Collection and Validation:

    This module covers methodologies for collecting and validating technical and economic data essential for techno-economic analysis. Participants will learn techniques for data integrity and reliability.

  • Cost Estimation Techniques:

    Participants will explore various cost estimation methods, including equipment costing, utilities, labor, and operating costs. The course will cover both traditional and advanced cost estimation techniques used in process design.

  • Economic Evaluation Metrics:

    This segment focuses on economic evaluation metrics such as Net Present Value (NPV), Internal Rate of Return (IRR), and Payback Period. Participants will learn how to interpret these metrics and assess project profitability.

  • Sensitivity Analysis and Risk Assessment:

    Participants will delve into sensitivity analysis techniques, allowing them to assess the impact of varying parameters on project outcomes. The course will cover risk assessment methods and strategies for mitigating risks in process design projects.

  • Environmental Impact Assessment: It

    s module emphasizes the integration of environmental factors into techno-economic analysis. Participants will learn methods for assessing environmental impacts, carbon footprint, and sustainability considerations.

  • Optimization Strategies for Efficiency and Profitability:

    Participants will explore optimization techniques to enhance process efficiency and profitability. Topics include process integration, energy optimization, and yield improvement strategies.

Your Instructor

Humzaa Imtiaz Ullah

Humzaa Imtiaz is a graduate of MSc in Chemical Engineering from Technical University of Denmark, where he specialised with a major in Process Engineering and a minor in Energy & Environmental Engineering. He comes with extensive expertise in techno-economic analysis, demonstrating exceptional skills in evaluating the economic viability of industrial processes. As the First Author of a groundbreaking publication and a valuable Co-Author on another, he has showcased proficiency in conducting in-depth research and presenting complex findings in a comprehensible manner. With a proven track record in analyzing diverse industrial cases, he brings practical insights into the economic aspects of chemical engineering projects.

Humzaa Imtiaz Ullah

Get in touch

Are you unsure whether this couse covers what you are looking for? Or you have any other question? Then feel free to get in touch with our team at and we will be more than happy to assist in anyway we can! :)

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