EnersynQ is energy systems intelligence for power-constrained growth: analytical methods, models, and case studies examining where large electric demand emerges, which physical asset becomes the first binding constraint, and what technical or operational changes can improve delivery readiness.
Current focus
How can operational flexibility serve new large loads on existing infrastructure, and when can it defer upgrades?
enersynq.com ↗Applied models and methods
Power Readiness method
Examines power availability, binding constraints, infrastructure timing, operating flexibility, and delivery risk for concentrated new loads.
Flexible-load coordination
Studies how scheduling, curtailment, and storage can be coordinated against the first binding physical constraint rather than energy price alone.
Michigan and MISO analysis
Regional analysis in development using source-backed public data on large-load growth, grid constraints, and time-to-power conditions.
EV-fleet transformer model
Models transformer loading, hot-spot temperature, and insulation aging under different fleet-charging strategies.
Technical and public-data basis
This work draws on public proceedings, planning records, load-growth analysis, and engineering standards, including FERC large-load proceedings, MISO regional planning, DOE and Lawrence Berkeley National Laboratory analysis, and IEEE transformer-loading guidance.