SE4ALL - MathProg Challenge
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Reduce the size and generation time of the Linear Programming (LP) matrix generated by OSeMOSYS
Around 1.1 billion people globally lack access to electricity. In taking on the challenge of restructuring energy infrastructure, planning its long-term development and making it climate resilient, national governments must answer several policy and investment questions. Energy system models are mathematical tools that can help to find answers to these questions. One of them is
OSeMOSYS (The Open Source energy MOdelling SYstem)
a long-term energy systems modelling tool developed by KTH-dESA that uses linear optimization to determine the least-cost energy system configuration for a specified time horizon (for e.g. 2015 – 2050).
In an attempt to improve the speed, accuracy and efficacy of model,
UNDESA
and KTH-dESA have collaboratively launched a MathProg challenge aiming to reduce the size and generation time of the Linear Programming (LP) matrix generated by OSeMOSYS.
By solving this challenge, you will make possible for KTH and other developers to build even bigger and more detailed models, and for energy planners across the world to explore more pathways for granting electricity for all.
Find more about the challenge here .