Method and system for optimum coal selection and power plant optimization
US12021384B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | May 27, 2020 |
| Grant date | Jun 25, 2024 |
| Priority date | — |
| Expiry date | Aug 26, 2041 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH02J2300/10
- WIPO fieldElectrical machinery, apparatus, energy
- WIPO sectorElectrical engineering
Abstract
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.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.