TIMES2JuMP - Learnings from IEA-ETSAP Feasibility Study of Migrating the TIMES Code to Julia JuMP
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Learn about the feasibility study conducted by IEA-ETSAP to migrate the TIMES (The Integrated MARKAL-EFOM System) energy system optimization model from its current implementation to Julia's JuMP optimization framework. Explore the technical challenges, benefits, and key insights discovered during this migration assessment, including performance comparisons, code structure considerations, and the potential advantages of leveraging Julia's mathematical programming capabilities for large-scale energy system modeling. Understand the implications of this transition for the energy modeling community and how JuMP's features could enhance TIMES' computational efficiency and maintainability. Gain insights into the practical aspects of migrating complex optimization models between different programming environments and the strategic decisions involved in modernizing established energy system analysis tools.
Syllabus
TIMES2JuMP - Learnings from IEA-ETSAP feasibility study of migrating the TIMES code to Julia JuMP.
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The Julia Programming Language