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Computational Modeling for Planning and Operating Decarbonized Electric Power Systems

EAS
501.023
Description

This class will explore computational models for planning and operating power systems, with an emphasis on applications to real-world contexts and emerging technologies. These models are frequently used for real-world decisions and in research. The class will discuss the models’ motivations, formulations, data needs, and applications. The class will also discuss supplemental analytical techniques, e.g. sensitivity and scenario analysis, that can be coupled with power system models to generate actionable insights

Prerequisites include EAS615, including concurrent enrollment. Other required skillsets include background in a programming language, as this course will primarily explore computational models in Python for power system planning and operations.

*Offered Winter B*

 

Faculty/Instructor
Michael Craig
Credits
Minimum credits
2.00
Maximum credits
2.00
Undergrad
No
Graduate
Yes
Prerequisites
EAS 615 or concurrent enrollment
Offered Fall Semester
No
Offered Winter Semester
Yes
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University of Michigan School for Environment and Sustainability
Dana Building
440 Church Street
Ann Arbor, MI 48109
(734) 764-6453
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