Energy analysis and BESS feasibility for UNO Minda Group, leveraging Digital Twin and Battery AI to identify cost reduction across high-consumption manufacturing processes at one of India's largest automotive component manufacturers.
Minda Industries (UNO Minda Group), one of India's largest automotive component manufacturers with a global presence across 70+ manufacturing plants, engaged Ingro Energy for energy analysis and BESS feasibility assessment at their manufacturing facilities. The project focuses on leveraging Ingro's Digital Twin and Battery AI capabilities to identify energy cost reduction opportunities across high-consumption manufacturing processes, precision machining, die casting, surface treatment, and assembly operations.
Multi-shift load complexity, 2-3 shifts with different product lines creating overlapping, hard-to-predict load patterns
Demand charge dominance, maximum demand charges constituting 30-40% of electricity bill
Power quality sensitivity, precision machining and automated assembly requiring clean, stable power
Distributed facility challenge, multiple units with different profiles, connections, and tariff structures
Sustainability targets, automotive OEMs requiring Tier-1 suppliers to demonstrate carbon reduction
Plant Energy Audit: Comprehensive analysis identifying peak contributors, idle losses, shift variations, and power quality issues
Digital Twin Modeling: Dynamic replica of the electrical distribution network for BESS integration and demand limiting simulations
BESS Feasibility Study: Behind-the-meter configurations for demand management, power quality, and tariff arbitrage with ROI projections
Energy Analytics Dashboard: Real-time monitoring correlating energy KPIs with production output across lines and shifts
Sustainability Roadmap: Phased approach from demand management to integrated RE + BESS solutions
Automotive Components Manufacturing, India
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