上海科梁能源科技有限公司 - Shanghai Keliang Energy Technology Co., Ltd.
Integrated Energy Integrated Energy
Integrated Energy
Integrated Energy Digital Twin Cloud Platform
Overview
KeLiang Energy’s Integrated Energy Digital Twin Cloud Platform supports multi-level applications across the integrated energy sector, from system planning to intelligent operation and maintenance, propelling the digital and intelligent transformation of the power system.
Applications
Supports comprehensive multi-level integrated energy business applications, including:

System Planning, Design, and Optimization

Energy Management and Operational Optimization

Energy Efficiency Assessment & Carbon Flow Tracking

Virtual Power Plant (VPP) and Demand Response

Health Management and smart Operations & Maintenance

Features
01
Multi-timescale parallel simulation of integrated energy systems (heating, cooling, power, and gas).
02
Configurable model granularity to meet specific application requirements.
03
A highly open and flexible platform architecture.
System Architecture
User Cases
Addressing fragmented modeling approaches, disjointed optimization processes, and inefficient O&M practices in integrated energy systems, Keliang Energy has developed a full-process simulation and testing platform for integrated energy systems.
This platform integrates a multi-energy flow mechanistic model library (covering cooling, heating, electricity, gas, and hydrogen) to enable rapid topology construction for building/campus-level scenarios. By fusing mechanism-driven and data-driven technologies, we establish:
An intelligent diagnostic framework for anomaly detection and system health monitoring;
A tripartite evaluation metric balancing security-economy-carbon footprint objectives;
A failure mode database for proactive risk mitigation.
The integrated energy digital twin cloud platform integrating real-time simulation systems provides a full-process testing environment for equipment research and development, forming a full lifecycle solution—from planning/design to intelligent O&M, and providing standardized and AI-driven technical support for low-carbon energy transitions.
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