π Case Study
Food & Beverage Batch Oven Peak Demand Management
Peak demand charges exceeding $180k/year due to simultaneous oven preheating cycles
ποΈ Project Overview
Frozen foods plant in Minnesota, USA
π― Challenge
Peak demand charges exceeding $180k/year due to simultaneous oven preheating cycles
π§ Design Approach
Redesigned HMI scheduling interface with real-time kW forecasting (15-min horizon); deployed energy-aware batch sequencer with staggered start logic and dynamic priority arbitration based on delivery SLA and energy cost signal (via utility API)
π Design Diagram
AI-generated project design illustration
π Key Calculations
Demand Charge Avoidance
ΞkW Γ $/kW Γ 12 months
Result: $142,800
Primary ROI driver
HMI Update Latency Budget
t_latency < 100 ms per IEC 62443-3-3
Result: 68 ms
Ensures operator trust in real-time kW display
π Results
Peak demand reduced by 29%; $142.8k annual savings; no impact on batch throughput or OEEπ‘ Lessons Learned
- β’Energy-aware sequencing requires SLA-aware priority logicβnot just time-based staggering
- β’HMI latency must be measured end-to-end, not just network RTT
β Key Takeaways
- 1Energy-aware sequencing requires SLA-aware priority logicβnot just time-based staggering
- 2HMI latency must be measured end-to-end, not just network RTT