CHN Energy’s Collection of Typical Cases of Intelligent Power Station Projects Passed Assessment

Lately, CHN Energy organized an assessment meeting for its Collection of Typical Cases of Intelligent Power Station Projects. Experts from 18 institutions in and beyond CHN Energy, including North China Electric Power University, China Resources Power Technology Research Institute Co., Ltd., and Datang Huadong Electric Power Experimental & Research Institute Co., Ltd., was present at the meeting. Upon analysis and discussions, all the experts acknowledged the necessity to compile this collection of typical cases, and unanimously agreed that it passed the assessment due to its comprehensive and detailed contents, clear and complete structure, and great practicality and creativity.

In recent years, CHN Energy has carefully selected 63 typical cases of intelligent power station projects concerning coal-fired power, hydropower and new energy in terms of the deep integration of advanced information technologies such as big data, artificial intelligence and industrial internet with the power industry, and compiled them into a book. The case collection includes a wide range of advanced technologies and typical achievements realized by CHN Energy in the demonstration construction of smart power generation enterprises, which are divided into three chapters: infrastructure and intelligent equipment, intelligent power generation, and intelligent management, covering the whole process of the construction of intelligent power stations from technical theories to practical demonstration.

Next, CHN Energy will continue to promote the deep integration of information technology and intelligent technology with power generation, production, operation and management, and delve into and publicize its excellent typical cases in intelligent power station construction to give full play to their demonstration and guiding role, so as to build an “ecosystem” integrating intelligent power generation, intelligent operation and intelligent management in the power industry.