Research on Water Resources Intelligent Management of Thermal Power Plant Based on Digital Twins

With the development of industry digitization, and the convergence of industry and the internet, the digital twin technology was widely used in many industries, thermal power plants were big users of water, the intelligent management of the whole plant water resource system had become inevitable. This paper expounded the digital twin theory, and the power plant in Shandong province was taken as an example, the theory and method of digital twinning were applied, advanced information technologies such as internet of things technology, cloud computing and big data analysis were used, the thermal power plant water resource intelligence management system had been constructed, the intersection and fusion among physical layer, data layer, model layer and function layer were completed, and the application of water resource intelligence management system in thermal power plants was analyzed. The results show that: this system had realized the factory water balance figure of automatic updates, water balance, dynamic test and application analysis, the water system of water, water quality of three dimensional display, dynamic analysis and evaluation, trend prediction, etc. It guided the water adjustment and optimization of the whole plant, the electricity consumption had been reduced, water use efficiency and efficiency were improved, the discharge of wastewater had been reduced, the amount of water extracted per unit of generating capacity was reduced from 1.90m
³
/MW to 1.21m
³
/MW in this plant, it could reduce the fresh water intake by about 800,000 tons per year, which had good economic and social benefits. It would be an important part of future smart power plants to set an example for the intelligent management of water resources for the whole plant.