Delhi-based Ingro Energy helps industrial CTPP owners harness the grid-saving potential of unutilized energy. This study shows how AI powered BESS can help industrial plants cut electricity costs by 60% and reduce energy waste by storing excess CTPP power, while ensuring battery health, warranty compliance, and long-term reliability.
Industrial units often struggle with high fixed charges and limited capacity due to short peak demand spikes from machinery. AI powered BESS reduces MD charges by shaving peak demand, adds new machinery without increasing sanctioned load, and optimises battery life with AI-based dynamic cycling.
AI-driven approach to power blending enables facilities to integrate offsite renewable energy with onsite BESS. Utilizing AI-driven charge-discharge strategies for Time-of-Day energy management, reducing peak demand charges, and optimizing energy procurement for sustainability and operational goals.
Comprehensive report on extending the operational lifespan and maximising ROI of grid-scale Battery Energy Storage Systems through advanced AI-driven management, predictive maintenance, and optimised cycling strategies.
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