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This course is designed to provide participants with a comprehensive introduction to energy and environmental modeling, with a focus on practical applications in policy and decision-making. It bridges foundational concepts and advanced techniques, equipping participants with the skills to develop and analyze energy models for real-world scenarios.
Key topics include optimization using Pyomo, simulation dynamics for industrial decarbonization, and power system modeling with PyPSA. Through engaging lectures, hands-on workshops, and group projects, participants will learn to construct and interpret models for long-term capacity expansion planning, scenario analysis, and industrial decarbonization strategies.
By the end of the course, participants will have a strong understanding of energy modeling tools and techniques, enabling them to address complex energy policy challenges and contribute to sustainable energy transitions.
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Prerequisite: Basic knowledge of Python and energy systems is recommended.
Lecture note will be uploaded here.
Required: A computer with Anaconda pre-installed.
How to install Anaconda and Python? Please read this document carefully and ensure that you have Anaconda installed on your computer.
