Project background
Industrial sites with flexible loads — HVAC, refrigeration, batch processes — can meaningfully shift energy use to lower cost periods and demand charges. The client wanted an optimization engine that decided when and how.
Challenge
Respecting process constraints, tariffs, and equipment limits simultaneously, and producing setpoints that controls systems could actually execute rather than abstract targets.
Approach & solution
We built a constraint-based optimization engine that consumes tariff data, process models, and forecasted demand to produce optimal setpoint schedules. The engine outputs directly into control systems where integration allows, and into operator recommendations otherwise.
Results & benefits
Sites meaningfully reduced demand-charge exposure and shifted consumption to cheaper periods within process-allowed bounds. Payback was quick on sites with aggressive tariffs.
