18-882-RW   Energy Systems Modeling

Course description

This course introduces tools for modeling energy system technical and financial performance. The course will present the theoretical foundations of various tools and apply them to a techno-economic model of a hybrid mini-grid. The end result will be a probabilistic model of hybrid mini-grid technical and financial performance. The model will be implemented in the Python programming language. At the end of the course, students will perform case studies using the models they have built as a final course project.

Learning objectives

By the end of the course, students will be able to:

• Model components of an electric power system
• Model energy demand and renewable energy resources
• Simulate power system control strategies
• Model the financial performance of the energy system
• Integrate models of system components into a time series energy systems model
• Use the model to perform a case study and assess system performance

Outcome

Students will develop skills to integrate technical models of energy system components and financial models into systems models. They will learn how to use integrated systems models to understand how elements of the system interact to influence technical and financial performance of energy systems.

Content details

• Meteorological models
• Electricity generator modeling
• Battery modeling
• Load modeling and forecasting
• Generator dispatch algorithms
• Financial models
• Time series models
• Optimization
• Stochastic models
• Monte Carlo simulation

Prerequisite

None