Industrial Optimization in Python & GAMS. Real-World Models

Industrial Optimization in Python & GAMS. Real-World Models free download

Learn how to model chillers, furnaces, CHP, Batteries, EHP systems using Optimization in Python and GAMS

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3.Course Overview: This course teaches you how to develop and apply mathematical optimization models using Python with Pyomo and GAMS for industrial and energy system applications. You'll start from the fundamentals, gaining hands-on experience through practical projects and real-world case studies. The course covers modeling of key technologies such as batteries, chillers, electric heat pumps, natural gas furnaces, transformers, and CHP units—components commonly used in manufacturing, chemical plants, and power systems. A unique feature of the course is its focus on forecasting CO₂ emissions up to 2050 using linear regression and World Bank data, equipping you with both optimization and data analysis skills. Whether you’re modeling an industrial process or assessing the environmental impact of energy systems, the course emphasizes practical, transferable skills. Both Pyomo and GAMS are covered in-depth, making the content relevant for both academic and professional contexts. By the end, you'll be confident in building and implementing optimization models from scratch for real-world challenges. Learning optimization modeling and forecasting is crucial in a world increasingly driven by data, efficiency, and sustainability. This course is especially important for students, engineers, analysts, and aspiring data scientists aiming to work in energy systems, manufacturing, process industries, or environmental planning. Professionals in sectors such as utilities, consulting, energy management, and policy analysis will also find the skills highly applicable. Careers that benefit from this training include energy system analysts, operations researchers, industrial engineers, sustainability consultants, and data-driven environmental planners. With the rising need for carbon reduction strategies and resource-efficient operations, the ability to model and optimize complex systems while also projecting emissions trends is a valuable and in-demand skill set across both private and public sectors.