Offerings
Manage a portfolio of mixed energy generation sources
Overview
AI-first power generation plants adapt to spikes in demand, while mitigating environmental risks. This ecosystem also manages a sustainable energy mix and complies with safety standards, while rationalizing the cost of operations.
Infosys Utilities leverages advanced algorithms and data-driven insights to maximize energy output and reduce downtime in high-energy and low-enthalpy geothermal systems, hydroelectric power plants, small modular nuclear reactors, thermal power plants, and distributed energy resources.
Infosys domain experts apply artificial intelligence (AI) and machine learning (ML)-powered diagnostic methods to maximize asset availability and drive autonomous operations. Our cognitive solutions distinguish between normal disturbances and abnormal behavior, and isolate faults within milliseconds. This boosts performance as well as asset utilization, and prevents equipment failure and potential outage.
Infosys capabilities:
Grid connectivity model helps build a physical energy ecosystem capable of anticipating issues and responding accurately and promptly
Partnerships with academic research centers, technology providers, and domain-specific forums facilitate development of innovative approaches for safe and economical operations at greenfield as well as legacy power generation facilities
Day-ahead production planning solutions ensure nonlinear optimization by taking into account real-time data and forecasts. For instance, combining the actual reservoir level, water-level forecasts, and energy market price trends to optimize production plans at a hydropower plant.
Our seamless approach to integrate operational technology (OT) and information technology (IT) systems safeguards the integrity of power generation assets.
Talk to our experts
Improve reliability and efficiency across power generation
- Cloud-edge-device architecture ensures grid stability during communication outages. It also helps leverage edge modeling to manage high-risk assets such as high-temperature steam lines.
- Virtual replicas allow operators to safely overload legacy components during peak demand periods without exceeding critical thresholds. For instance, maximize hosting capacity of underground distribution cables without risking insulation degradation by accurately predicting electro-thermal stress.
- AI-based controls drive energy efficiency and reduce wastage in auxiliary systems at power plants, such as a waste heat recovery system.
Challenges & Solutions
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