Smart Digital Control Platform
Focusing on the application scenarios of large-scale cluster hydrogen production and decentralized hydrogen production integration, we provide customers with a diverse range of Smart E, Smart L, and Smart D product lines. In response to the contradiction between the fluctuation of wind and solar power in green hydrogen production and the adaptability of hydrogen production equipment, we have independently developed intelligent model systems such as "AI-EM Energy Mutual Aid Decision", "AI-PS Adaptive Production Scheduling", and "AI-PM Facility Operation Pre Maintenance". We use "Cloud based Intelligent Mobility" to locate the core scenarios of off grid stability, production scheduling, energy allocation, digital operation and maintenance, and safety assurance of the green hydrogen system. This solves the problem of flexible matching of high fluctuation wind and solar power generation prediction and dynamic hydrogen production loads, intelligent production scheduling, predictive maintenance of core key equipment, spare parts maintenance scheduling, and other pain points, achieving safe, efficient, and stable operation of the hydrogen production system with few or even unmanned personnel.
To achieve safe, stable, and economical energy supply in complex off-grid hydrogen production systems
Optimize energy scheduling accuracy, continuously improve system stability, improve on-site energy consumption rate, and reduce carbon emissions
Smart-L Source Load Adaptive Control System
The electrolytic cell equipment based on wide load adaptability can centrally control multiple sets of electrolytic cell equipment with wide load adaptability when sensing changes in energy allocation, quickly adjust the optimal operation of the hydrogen production system, and improve the source load adaptability of the hydrogen production system.
Smart-E Flexible Energy Mutual Aid Decision System
Based on the analysis of the source load characteristics of the overall system, process optimization control is carried out on core equipment such as wind power, photovoltaic, energy storage, and electrolytic cells in the system to achieve the matching and integration of hydrogen production system with various energy supply forms, thereby realizing energy distribution under normal/abnormal full operating conditions, and ultimately achieving multi-dimensional dynamic balance of green hydrogen.
Smart-D Digital Twin Intelligent Management System
Based on digital twins, the Internet of Things, and simulation technology, the production, energy, and management processes of digital space simulation filtration systems are used to create a digital management system that integrates perception cognition decision-making execution. This system achieves visible, known, controllable, and manageable scenarios such as off grid stability, business operation, and intelligent maintenance.
Main Products
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Smart-L Source Load Adaptive Control System -
Smart-E Flexible Energy Mutual Aid Decision System -
Smart-D Digital Twin Intelligent Management System
The three core functions of energy control in the green hydrogen system
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Off-grid stabilityUnder off-grid conditions, stable control of power, harmonics, and frequency in the power generation side system is achieved based on different regional power grid conditions and the proportion of wind and solar energy storage configurations -
energy balanceBased on different time dimensions, precise identification of energy on the power generation side is achieved, combined with the characteristics of load energy consumption, to complete short, medium, and long-term energy allocation management, and to establish the feasibility of stable production of the system -
System centralized controlBy scheduling the energy storage system of the source network load (wind storage, solar storage, wind and solar storage, and storage load coordination), optimizing the original DCS control system, achieving flexible coupling scheduling management of the overall energy flow, achieving safe and stable production of the system, and establishing an economic production foundation for the system
