MathWorks Simulates AI Data Center Power Systems for Efficiency

⚡ AI Executive Summary

MathWorks has developed multi-domain simulation capabilities for modeling the complete electrical powertrain of artificial intelligence data centers, from grid connection through server racks. The software uses behavioral lumped-parameter models rather than detailed finite-element analysis, enabling engineers to simulate year-long operations in hourly timesteps. This approach allows component suppliers to share functional models as "executable datasheets" that protect intellectual property while providing appropriate fidelity for different stakeholders—operators needing average power estimates, utilities requiring electromagnetic transient waveforms to check grid harmonics, and manufacturers designing control systems. The modeling challenge mirrors existing high-voltage DC and flexible AC transmission systems technology, representing a power-electronics control problem applied to a new load profile. MathWorks' engagement with Eversource demonstrates how probabilistic load-flow analysis can help distribution utilities manage growing inverter-based resources and identify grid stress points—a problem that may intensify if AI computation becomes geographically distributed rather than centralized.