TCS IP2™: Intelligent power plant
Digital twin-driven, clean, flexible power generation
Services
IoT and Digital Engineering
物联网和数字工程服务 | 塔塔咨询服务TCS
Highlights
- Utilities need to run their power plants efficiently, sustainably, and flexibly in the face of rising renewable capacity, tightening emission norms, and increasing fuel costs.
- Power producers are using AI and digital twin-based technologies for sustainable operations of thermal and renewable plants.
- TCS IP2 provides users with a pre-built AI platform with low code workbench to build and manage digital twins.
In this article
Overview
Enabling sustainable, flexible, and autonomous power generation.
Sustainable, flexible, and autonomous power generation is a top priority for utilities, along with others such as enhancing operational efficiency and asset reliability, and cutting down emissions and costs.
TCS IP2 is an intelligent digital solution that uses artificial intelligence, IoT, and digital twin technologies to optimize the performance of power plants. The solution can be deployed on cloud or on-premise, and is extendable to renewable power sources such as wind, solar, and grid-scale batteries.
TCS IP2 is an excellent example of how new technologies like digital twin and AI can support critical plant assets that now are operated in ways that were never anticipated when these plants and their support systems were designed.
Solution
Digital twin-driven self-learning AI platform for real-time decision advisory.
TCS IP2 collects historical and real-time data from different systems that control operations in power plants. This data is then used to analyze 3,000+ sensor inputs and 20,000+ set-point combinations in real time to provide action advisory for power plants.
TCS IP2 comprises four key components:
A pre-built customized platform consisting of four modules:
IP2 Insight: Provides advanced visibility and insight into plant operations in real time
IP2 Performance: Optimizes performance and efficiency of power plant for diverse operating conditions
IP2 Maintenance: Provides predictive maintenance and improves asset reliability and availability
IP2 Studio: Workbench for engineers and data scientists to develop digital twins with a low code interface
Purpose-built use cases for priority areas such as efficiency, generation forecasting, emissions, availability, reliability, and operation and maintenance (O&M) costs.
Benefits
Enhancing power plant reliability, flexibility, and cost efficiency.
TCS IP2 helps improve the performance of power plants—both thermal and renewables—across functions such as monitoring of equipment and processes, optimizing operations in real time, and improving availability.
Key benefits for thermal power plants:
Real-time insights, predicted KPI thresholds, alerts/alarms, soft sensors.
Reduction in auxiliary power consumption and increase in power sales by up to 1%.
Reduction in plant heat rate by 0.5% to 1% by optimizing combustion.
Reduction in emissions of harmful gases by up to 8%.
Up to 20% reduction in operations and maintenance costs by predicting failures with up to 85% accuracy.
Up to 2% increase in plant availability by improving asset health in full and part-load operations.
Key benefits for renewable power plants:
Real-time insights, dynamic KPI monitoring, alerts, and reporting.
Up to 40% reduction in maintenance and inspection cost with AI.
Improvement in plant uptime by 0.5-1%.
Use of advanced AI algorithms to mitigate uncertainty and reduce curtailment by up to 1%.
Savings potential of TCS IP2 is $3-4 million annually per GW of capacity.
The TCS advantage
A partnership with TCS provides utilities with the following advantages:
Open and scalable platform: Provides low code digital twin workbench to create and customize AI models. It is also modular and can be easily scaled across units quickly and without too much effort.
First time right with proven TCS IPs: TCS IP2 uses proprietary TCS IPs backed by 37+ patents developed from over 10+ years of foundational research in domain and AI. This ensures first time right deployments.
Wide compatibility: Works seamlessly with all makes and models of equipment, control systems, and UI devices while integrating seamlessly with third-party tools and applications.
Self-learning AI and digital twin approach: Deploys data and physics-based hybrid AI digital twins with real-time self-learning capability, high accuracy throughout lifetime, and economical to deploy and scale.
Autonomous operation: Future ready to offer closed loop optimization with control loop auto tuning for both stable and flexible load operations.
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