Industrial Plants

Shift machinery cycles to off-peak.
Keep throughput.

Industrial demand charges are set by a single 15-minute peak reading per month. Predictive load shifting can cut that peak 15–30% by rescheduling compressors, chillers, and non-critical machinery — without touching production sequencing.

One bad 15-minute window sets your demand charge for the whole month

Industrial electricity bills are dominated by demand charges — often 30–50% of total cost. The charge is based on your single highest 15-minute consumption reading in the billing period. One unmanaged peak from simultaneous equipment startup or a weather event can cost thousands of dollars.

Traditional approaches — manual schedule coordination, fixed peak-avoidance windows — cannot account for the interaction between weather, production schedule variability, and equipment state. Voltpathio models all three, 48 hours ahead, and automatically shifts non-critical loads before peak windows form.

Production sequencing is never touched. We optimize around it — shifting compressors, chillers, dust collection, and auxiliary systems while your production line runs exactly as planned.

Industrial manufacturing plant floor with machinery and overhead lighting at night

Load shifting looks different for a food processor versus an automotive plant. Here is what each looks like in practice.

Food Processing

Chiller pre-loading during off-peak periods to reduce compressor duty cycles during peak-rate windows. Cold storage systems pre-cool to lower setpoints during off-peak hours, building a thermal buffer that carries through peak windows without compressor activation.

Automotive Assembly

Dust collection and ventilation cycling shifted to low-demand windows between production shifts. Paint booth temperature conditioning pre-staged before production starts rather than ramped up simultaneously with line startup — eliminating the multi-equipment coincident peak.

Distribution Centers

Conveyor and automated storage and retrieval system scheduling optimized against rate period transitions. High-bay lighting managed against occupancy patterns. Dock equipment (dock levelers, door operators, charging infrastructure) shifted to avoid peak-rate coincidence.

Demand charge reduction — measured in billing period dollars, not percentage abstractions

20–30%
Demand charge reduction in industrial deployments — driven by peak load shifting not consumption reduction
Zero
Production line interruptions across all deployments — we optimize auxiliary systems, never production sequencing
< 3 wks
Time from BMS connection to first automated schedule — baseline collection and commissioning included

Find out which 15-minute windows are costing you the most — before we touch a single schedule

Share your utility bills and equipment roster. We identify your coincident peak exposure and model the load shifting opportunity before the demo call. We do not optimize production sequencing — we shift auxiliary loads around it.