New preprint: Multi-scale impacts of large-scale renewable adoption
A new preprint is now available on arXiv: “Quantifying the Multi-scale and Multi-resource Impacts of Large-scale Adoption of Renewable Energy Sources” by E. Kabir, V. Srikrishnan, V. Liu, S. Steinschneider, and L. Anderson (arXiv:2307.11076).
What’s in It
The paper quantifies how large-scale adoption of wind and solar reshapes grid operations across multiple time scales and resource types. It characterizes how supply-demand covariability and operational constraints interact to determine system outcomes like curtailment and price dispersion.
Why It Matters
Policy discussions about renewable targets often rely on annual averages. This work shows that annual-average framing misses important operational dynamics that only emerge when you look at finer time scales and across multiple resource dimensions simultaneously.
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