Has anyone used automated load scheduling software to flatten demand profiles for clients? Im not talking about simple demand controllers that shed load when approaching a setpoint. Im talking about predictive scheduling software that uses weather forecasts, production schedules, and historical load data to pre-optimize equipment schedules before the peak even occurs. Salt Lake City client asked about it and I dont have experience with these platforms.
Demand flattening through load scheduling software
Sandra ? Ive seen demonstrations from companies like Entouch, GridPoint, and Stem. The platforms use machine learning to predict when peaks will occur and pre-position building loads ? pre-cooling, shifting water heating, adjusting lighting ? to minimize demand during predicted peak intervals. Results Ive seen from client implementations show 10-18% demand reduction. The software subscription runs $200-500 per month depending on building complexity.
In Boise Im piloting a load scheduling platform with an Idaho Power commercial client. The software integrates with the BAS and has access to real-time meter data. After 3 months the demand reduction averages 12% ? about 45 kW off a 380 kW peak. The software subscription is $350 per month. Demand savings are approximately $540 per month at Idaho Power rates. Net benefit of $190 per month. Positive but not dramatic.
Natalie ? $190 per month net benefit after software cost doesnt sound like a strong recommendation for a client. Is the value proposition better in higher demand charge territories?
Sandra ? in PG&E territory with $22 per kW demand charges, the same 12% reduction on a 380 kW building produces $1,003 per month in demand savings. After $350 software subscription thats $653 net monthly benefit ? much stronger. The percentage reduction is similar across territories but the dollar value scales directly with the demand charge rate.
Important consideration ? these platforms require BAS integration which means the building needs a reasonably modern control system with open protocols. Many older commercial buildings have proprietary or legacy BAS systems that dont communicate with external platforms. The software integration cost can be $5,000-15,000 upfront depending on BAS compatibility. Factor that into the payback.
Good perspectives from everyone. The conclusion I draw: load scheduling software makes economic sense for buildings with 1) demand charges above $15 per kW 2) modern BAS with open protocols 3) significant controllable load ? at least 15-20% of total demand. Below those thresholds the software cost exceeds the net benefit. Ill recommend it selectively for qualifying clients rather than as a universal solution.
Update ? recommended the platform for my Salt Lake City client who meets all three criteria. Rocky Mountain Power demand charge of $14.50 per kW on a 520 kW building with modern BAS. Projected net benefit of $380 per month after software cost. Client approved. Will report results after 6 months of operation.