Constructing an IBR-dominated power system to advance the green-oriented transition of energy and energy revolution, achieving the "carbon peaking and carbon neutrality goals" (dual carbon goals), has created new opportunities for the large-scale application of integrated energy systems. In April 2022, China's National Energy Administration and Ministry of Science and Technology jointly released the "14th Five-Year Plan for Scientific and Technological Innovation in the Energy Sector", which prioritizes developing digital and intelligent technologies for energy systems and conducting key research on regional integrated smart energy systems. The Shanghai KeLiang Integrated Energy Digital Twin Cloud Platform, leveraging multi-disciplinary, multi-physical, and multi-timescale simulation-based digital twin technology, encompasses multi-tiered integrated energy applications—including system planning/design/optimization, energy management/operational optimization, energy efficiency diagnostics/carbon flow analysis, virtual power plants (VPP)/demand response, and health management/intelligent operation and maintenance. The deployment of digital twin technology in this sector has pioneered innovative digital management and service models, accelerating the digital and intelligent transformation of the energy industry.

■ 基于大数据&云计算技术中台，涵盖多层次综合能源业务应用，实现在线全景感知与虚拟数字空间映射

■ 数字孪生建模以物理机理模型为基础，多源异构数据融合利用，基于“模型驱动+数据驱动”，实现实体系统的精准虚拟映射和全景可视.

■ 经过实际工程验证的多颗粒度综合能源系统仿真模型库iEnergyModel，快速实现设备级、单元级、系统级数字孪生体构建

■ 系统兼容多种关系数据库，具备完善的数据记录、存储、回调和接口功能

■ 支持多种算法语言集成，接口开放、支持多种智能算法的开发与数字孪生验证

■ 支持多场景构建与多项目管理，支持实体系统和仿真模拟接入，具备虚-实交互能力

■ 提供多种应用形式：PC端、监控大屏、移动端

■ Owner Entities: energy management, operation optimization, intelligent operation and maintenance.

■ Research Institutions and Universities: research on theories and application technologies such as multi-energy coupling, unified modeling across multiple fields, economic optimization scheduling of system, and safe and stable operation control.

■ Energy Design Entities: verification and optimization of system planning and design.

■ Energy Equipment Manufacturers: R&D and testing of new equipment; optimization of system design and operational strategies.

■ Testing Organizations: simulation & testing and equipment testing

■ Energy Enterprises and Universities: digital twin practical training and education.