πŸ“‹ Case Study

Food & Beverage Batch Oven Peak Demand Management

Peak demand charges exceeding $180k/year due to simultaneous oven preheating cycles

πŸ—οΈ Project Overview

Frozen foods plant in Minnesota, USA

🎯 Challenge

Peak demand charges exceeding $180k/year due to simultaneous oven preheating cycles

πŸ”§ 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)

πŸ“ Design Diagram

Food & Beverage Batch Oven Peak Demand Management Peak Demand > $180k/yr Simultaneous Preheating HMI Scheduling Interface t_latency = 68 ms < 100 ms Energy-Aware Batch Sequencer β€’ Staggered Start Logic β€’ SLA + Cost Priority Arbitration Utility API Energy Cost Signal Real-time kW Forecast 15-min Horizon Oven Control Signals Ξ”kW Γ— $/kW Γ— 12 = $142,800

AI-generated project design illustration

πŸ“ Key Calculations

Demand Charge Avoidance

Ξ”kW 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

πŸ“Š Results

Peak demand reduced by 29%; $142.8k annual savings; no impact on batch throughput or OEE

πŸ’‘ Lessons Learned

  • β€’Energy-aware sequencing requires SLA-aware priority logicβ€”not just time-based staggering
  • β€’HMI latency must be measured end-to-end, not just network RTT

βœ… Key Takeaways

  • 1Energy-aware sequencing requires SLA-aware priority logicβ€”not just time-based staggering
  • 2HMI latency must be measured end-to-end, not just network RTT