Print Settings

ENERGY 191: Optimization of Energy Systems (ENERGY 291)

Introductory mathematical programming and optimization using examples from energy industries. Emphasis on problem formulation and solving, secondary coverage of algorithms. Problem topics include optimization of energy investment, production, and transportation; uncertain and intermittent energy resources; energy storage; efficient energy production and conversion. Methods include linear and nonlinear optimization, as well as multi-objective and goal programming. Tools include Microsoft Excel and AMPL mathematical programming language. Prerequisites: MATH 20, 41, or MATH 51, or consent of instructor. Programming experience helpful (e.g,, CS 106A, CS 106B).
Terms: Spr | Units: 3-4
© Stanford University | Terms of Use | Copyright Complaints