From domestic off-grid hydrogen production systems to island-type microgrids in South Asia; from laboratory-scale simulations to large-scale green hydrogen projects—Intel is paving the way for intelligent applications in global new energy with its self-controlled InGreen-ECS energy management system.
Case Study One: Complete Off-Grid Hydrogen Production Chain
Example 1: Large-capacity wind power off-grid green hydrogen project, overcoming the challenge of second-level fluctuations in wind power.
✅ Load following: Achieving full power hydrogen production in real-time following wind power fluctuations.
✅ Off-grid mode: Small proportion of energy storage + emergency backup system to ensure continuous operation.
✅ Other keywords: off-grid, multi-mode source-load interaction.
Example 2: Domestic multi-mode demonstration ( off-grid photovoltaic direct supply hydrogen production, hybrid microgrid hydrogen production) project, integrating photovoltaic DC-DC chopper power supply, PEM electrolyzer, fuel cell, and AC/DC output system, achieving “off-grid photovoltaic direct supply hydrogen production + hybrid microgrid hydrogen production.
✅ Energy storage optimization: Through ECS intelligent scheduling, prioritize the consumption of photovoltaic (MPPT tracking) energy, and automatically switch to grid power when there is a shortage.
✅ Hydrogen-electric co-supply: Hydrogen-driven fuel cell power generation, supporting emergency power supply or electric-hydrogen collaborative energy networks.
✅ Other keywords: off-grid photovoltaic direct supply hydrogen production, hybrid microgrid hydrogen production, skid-mounted systems.
Example 3: A photovoltaic hydrogen production and refueling station in a certain Jiangnan park: using distributed photovoltaic and aggregation mode, driven by off-grid photovoltaic for electrolytic hydrogen production, directly supplying the refueling station, promoting zero-carbon logistics transportation across the entire chain.
✅ Achieving dynamic matching between hydrogen production systems and refueling demands, significantly improving equipment utilization.
✅ Based on multiple existing photovoltaic systems in the industrial park, carry out aggregation transformation, in conjunction with backend load demands, to maximize the on-site consumption of new energy.
✅ Other keywords: distributed photovoltaic transformation, skid-mounted, MPPT adaptive.
Example 4: Overseas island-type microgrid off-grid hydrogen production project: MW-level photovoltaic + diesel generator, supporting MW-level hydrogen production loads.
✅ In scenarios of power system fluctuations or weak grids, quickly and efficiently adjust through the energy management system, and centrally control distributed renewable energy and dynamic loads, ultimately achieving stable hydrogen production.
✅ Other keywords: overseas pure off-grid demonstration, simulation + real control.
Case Study Two: Wind-Solar-Storage Simulation Power Supply
Example 5: Providing a wind-solar-storage simulation system for a leading central enterprise
✅ Scale-down simulation: Developing a small power simulation platform to accurately reproduce the operating conditions of a hundred megawatt-level system;
✅ Cost reduction and efficiency improvement: Avoiding risks of ultra-high power debugging, shortening R&D cycles, and reducing trial-and-error costs.
Example 6: Providing a wind-solar-storage collaborative debugging platform for a top university laboratory
✅ Boundary-breaking simulation: Overcoming time and climate limitations to achieve full-condition rehearsal: ▶️ Bus voltage/frequency fluctuations ▶️ Wind-solar volatility impact on hydrogen production efficiency
✅ Risk prediction: Validating fault handling logic in advance, enhancing system stability.
How Intel’s InGreen-ECS Energy Management System Becomes the “Brain of Green Hydrogen”?
✅ Intelligent scheduling: Dynamically allocating photovoltaic/grid/fuel cell energy, ensuring 24-hour uninterrupted operation of off-grid systems;
✅ Multi-energy coupling: Connecting “electric-hydrogen-heat” multi-energy flows to achieve optimal energy efficiency in scenarios such as industrial parks and ports;
✅ Digital twin: Using a high-precision simulation platform to predict system risks and accelerate project implementation.
From power equipment manufacturers to energy system service providers, Intel has deeply participated in multiple off-grid/grid hydrogen production projects worldwide. In the future, we will continue to deepen InGreen-ECS intelligent algorithms and system integration capabilities, maximizing the value of every unit of green electricity!
