T/CES 214-2023 Active Group standards

T/CES 214-2023 Wind turbine digital twin system - Part 1: General requirements

T/CES 214-2023 Wind turbine digital twin system - Part 1: General requirements

Publish Date: 2023-10-19 Implement Date: 2023-10-20 For services related to genuine standard inquiry, procurement, translation, and other related services in China, please Contact Us
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Basic Information

Standard Code: T/CES 214-2023
Standard Type: Group standards
Standard Status: Active
is_force_gb: no
CCS Name: -
ICS Name: Electric engineering (vocabulary)
Publish Date: 2023-10-19
Implement Date: 2023-10-20

Scope

Scope: This document specifies the architectural characteristics and components of wind turbine digital twin systems, the technical requirements of wind turbine digital twin systems (including the requirements for wind turbine digital twin models, data interaction and storage technologies, system integration and simulation technologies, and visualization and human-computer interaction technologies), and the evaluation indicators and quantification methods of wind turbine digital twin systems (including the principles of indicator establishment, the principles of determining indicator weights, data collectability, data completeness, data accuracy, data interaction consistency, data interaction real-time, and information intuitiveness). This document is applicable to the design-related fields of wind turbine digital twin systems. Main technical content: Large-scale wind power is the main power source for China's construction of a new energy-based power system, and its level of intelligence directly affects the safe, efficient, and economical operation of the future power system. Wind power stations are located in remote areas with complex working conditions, and their safe operation requires high standards and is challenging. There is an urgent need to introduce modern information technology and new-generation artificial intelligence technology to enhance the development and application level of wind power digitization and intelligence. With the rapid development of digital twin technology, wind turbine digital twins have become an important development goal. Simulation models are the foundation for realizing real-time interaction between digital twins and physical entities, and they run through all stages of the system's life cycle. Based on China's current wind power development status and technical needs, there are many urgent problems to be solved in areas such as equipment fine-grained operation and maintenance, data governance, data interaction, real-time co

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