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Client

A major energy solutions provider took a significant step toward decarbonizing industrial processes by establishing a Green Hydrogen plant focused on clean and sustainable innovations. Powered by solar-generated electricity, the plant produces hydrogen through electrolysis, a clean process that separates water into hydrogen and oxygen. This hydrogen production supports critical operations at an adjacent heavy engineering complex, fueling welding and heat treatment processes. In turn, this contributes to the facility’s sustainable energy goals through smart energy Management Systems.

Key Features of the Green Hydrogen Plant

  • Efficient hydrogen production: The facility employs advanced electrolysis technology with digital systems for real-time monitoring and optimization and predictive maintenance.
  • Capacity and scalability: The plant is designed to dynamically adjust production capacity based on demand from the adjacent heavy engineering complex.
  • Renewable energy integration: The space is integrated with renewable energy sources, ensuring that hydrogen production remains eco-friendly and fully aligned with innovation in renewable energy efforts.
  • Sustainability contribution: The project significantly contributes to India’s goal of achieving net-zero emissions by 2070. By providing a green alternative to conventional hydrogen production, it helps reduce reliance on fossil fuels and supports the decarbonization of hard-to-abate sectors.
Key Features of the Green Hydrogen Plant

This initiative marks a crucial step in advancing clean energy practices while positioning India as a leader in smart energy management systems.

Green Hydrogen Plant

Green Hydrogen Plant Mob

Challenges

Despite its significant achievements, the Green Hydrogen plant faces several operational and technological challenges that could impact efficiency, safety, and sustainability.

Operational challenges

  • A lack of real-time data on hydrogen production, energy consumption, and equipment performance hinders optimal resource utilization.

Maintenance challenges

  • Unplanned downtime: Without prediction maintenance systems, unexpected equipment failures can lead to costly disruptions.
  • Increased maintenance costs: Reactive repairs and frequent equipment breakdowns increase expenses and reduce the plant's profitability.
  • Longer troubleshooting times: Identifying and resolving issues without real-time diagnostics takes significantly longer, delaying restoration of normal operations.

Safety and risk challenges

  • Safety risks: Without predictive maintenance systems, unexpected equipment failures can lead to costly disruptions.
  • Delayed response to anomalies: The absence of real-time monitoring limits the ability to address issues promptly.

Process optimization challenges

  • Limited real-time insights: Absence of data-driven decision-making results in inefficiencies in scaling operations or modifying processes.
  • Restricted remote access: Operators and engineers cannot access plant data remotely, thereby increasing the need for their physical presence on-site.

Sustainability challenges

  • Energy wastage: Green hydrogen production is energy intensive. Without real-time monitoring, energy losses during electrolysis or renewable energy integration may go unnoticed.

Transformation Journey

To overcome operational challenges and enhance efficiency, a comprehensive digital transformation was undertaken at the newly established Green Hydrogen plant in India. Spearheaded by LTIMindtree’s iNXT, the initiative focused on leveraging advanced technologies to optimize hydrogen production, ensure operational precision, and enable real-time decision-making.

Transformation Journey

Transformation Journey

Key Highlights

 
IIoT-enabled operation and asset management

IIoT-enabled operation and asset management

The plant’s entire infrastructure, including electrolysis units, compressors, and storage systems, is interconnected through an Industrial Internet of Things (IIoT) platform. This connectivity ensures seamless real-time monitoring of key performance metrics, from energy consumption to equipment health. Predictive maintenance now anticipates potential issues, reducing downtime and lowering operational expenses.
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Advanced data analytics

Advanced data analytics

Sophisticated analytics systems track and interpret vast amounts of operational data. By analyzing factors like energy availability, weather conditions, and demand forecasts, the plant dynamically schedules hydrogen production cycles. This approach maximizes operational efficiency and minimizes carbon emissions.
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AI-driven optimization

AI-driven optimization

Artificial intelligence (AI) continuously refines production strategies by analyzing historical data and identifying patterns. AI-driven automation now balances load, adjusts production parameters in real-time, and optimizes hydrogen yield, especially during periods of abundant renewable energy generation.
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Remote monitoring and control

Remote monitoring and control

Operations teams across India now have access to remote monitoring and control systems, providing a comprehensive view of the plant’s activities. This setup enables proactive decision-making, swift emergency responses, and seamless operational oversight from any location.
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Energy management integration

Energy management integration

The plant seamlessly connects with local renewable energy grids, supported by advanced digital systems to manage fluctuating solar and wind energy supplies. This ensures energy-efficient operations, reduces grid dependence, and lowers operating costs.
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Our Solution

We collaborated with the client as their consulting and engineering partner to define their transformation journey.
Key steps included:

 
Discovery workshop

Discovery workshop

We conducted detailed sessions to map user journeys and identify pain points for all key stakeholders, including production, operations, maintenance, and process optimization teams. This helped prioritize solutions tailored to each function’s unique needs.

Application design

Application design

We developed a microservice-based architecture to address system inefficiencies and improve scalability. This architecture seamlessly interfaces with Distributed Control Systems (DCS) and other IIoT subsystems of the electrolyzer. The design ensures flexibility and adaptability for future enhancements.

Platform deployment

Platform deployment

We implemented the advanced Insights NxT platform, which integrates next-generation automation and analytics technologies. This platform empowered the plant to improve operational efficiency, minimize downtime, and optimize resource utilization.

AI-enhanced asset management

AI-enhanced asset management

To tackle maintenance challenges, we introduced AI-driven predictive maintenance and forecasting use cases. These capabilities enabled early detection of potential failures, reducing unplanned downtime and optimizing maintenance schedules for cost efficiency.

Our Solution

Business Benefits

Predictive maintenance and AI-driven optimization reduced the plant downtime and operational costs by 10-15%, boosting overall efficiency.

Real-time monitoring and AI-driven algorithms cut energy consumption in hydrogen production by 5-10%, lowering operational expenses in energy-intensive processes.

Enhanced electrolyzer performance led to a 15-20% increase in hydrogen yield per unit of input.

Data-driven insights improved operational efficiency by up to 15%, enabling smarter and faster decision-making across production lines.

Enhanced production efficiency and reduced energy consumption collectively cut carbon emissions by 10-15%, contributing to sustainable operations.

Advanced monitoring systems reduced water usage in electrolyzers by 5-12%, conserving a vital resource critical to green hydrogen production.

Conclusion

By integrating smart energy management systems and driving innovation in renewable energy, the Green Hydrogen plant exemplifies a successful transformation toward sustainable and efficient industrial processes. The strategic deployment of AI-driven insights and scalable architectures enabled the client to overcome operational challenges, optimize resources, and contribute meaningfully to India’s net-zero goals.

Ready to modernize your green energy operations? Contact us at https://www.ltimindtree.com/inxt/.

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