Tata Consultancy Services Limited

Mukul Patil

Venkataramana Runkana

Anirudh Deodhar

Pankaj Malhotra

Saurabh Jaywant Desai

Muralikrishnan Ramanujam

Ashit Gupta

Sai Prasad Parameswran

Joel Thomson Diraviam Andrew

Lalith Roshanlal Jain

Dhandapani Subramaniam

Charan Theja Dhanda

Vishal Jadhav

Anirudh Makarand Deodhar

This disclosure relates generally to a method and system for real time monitoring and forecasting of fouling of an air preheater (APH) in a thermal power plant. The system is deploying a digital replica or digital twin that works in tandem with the real APH of the thermal power plant. The system receives real-time data from one or more sources and provides real-time soft sensing of intrinsic parameters as well as that of health, fouling related parameters of APH. The system is also configured to diagnose the current class of fouling regime and the reasons behind a specific class of fouling regime of the APH. The system is also configured to be used as advisory system that alerts and recommends corrective actions in terms of either APH parameters or parameters controlled through other equipment such as selective catalytic reduction or boiler or changes in operation or design.

Method and system for realtime monitoring and forecasting of fouling of air preheater equipment

Performance optimization of power plants is one of the major challenges. Several machine learning based techniques are available which are used for optimization of the power plants. Coal selection and blending is critical to ensuring optimum operation of thermal power plants. The present disclosure provides a system and method for optimum coal selection for the power plant and power plant optimization. The system mainly comprises two components. First, a coal usage advisory module providing coal usage and blending ratio advice to the operators based on the available coal. The optimization is with respect to the entire power plant operation including its components. And second, a performance optimization advisory module provides operation instruction for boiler, SCR, APH and other power plant equipment based on the implemented coal blend in real-time.

Method and system for optimum coal selection and power plant optimization

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Pune, India

Mukul Patil