Plant-level energy audits, digital twin modeling, and data-driven BESS sizing recommendations for Bhageria Group's industrial operations, reducing costs through demand management, tariff arbitrage, and power quality improvement.
Bhageria Group, a diversified industrial conglomerate, engaged Ingro Energy for comprehensive energy analysis and BESS optimization at their industrial operations. Ingro's team conducted detailed plant-level energy audits, built digital twins of their electrical infrastructure, and developed data-driven BESS sizing recommendations to reduce electricity costs through demand charge management, tariff arbitrage, and power quality improvement.
High energy intensity with significant exposure to demand charges, tariff differentials, and power factor penalties
Variable load profiles, sharp peaks during simultaneous equipment startups and process transitions
Grid dependency without on-site energy storage means absorbing all tariff increases and power quality issues
Limited energy visibility, monthly summary data rather than granular real-time insights for optimization
Data-Driven Plant Analysis: High-resolution metering data to characterize load profiles and quantify reduction opportunities
Digital Twin Development: Dynamic model enabling BESS integration simulation and what-if scenario testing
BESS Optimization Study: Multi-parameter analysis for optimal size, chemistry, and operating strategy
Economic Modeling: Detailed financial projections including CAPEX, degradation-adjusted lifecycle costs, and payback periods
Implementation Roadmap: Phased deployment plan with milestones, risk mitigation, and performance benchmarks
Diversified Industrial, India
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