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Amogy and 2G Energy complete ammonia-to-power test targeting data center deployment

Amogy and 2G Energy completed integrated ammonia-to-power testing at Amogy's Houston facility on 3 August 2026, pairing an ammonia reformer with a 500 kW reciprocating engine-generator.

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Amogy and Germany's 2G Energy completed integrated ammonia-to-power testing at Amogy's Houston facility on 3 August 2026, pairing an ammonia reformer with a 2G Agenitor 412 reciprocating engine-generator set capable of 500 kW electrical output at full load[1]. The test, conducted under the companies' AMMDrive™ platform, is positioned as a step toward commercial behind-the-meter power for data centers and other power-intensive facilities struggling to secure grid connections.

How the system works

Rather than burning ammonia directly, Amogy's reformer converts it into a hydrogen-rich gas before sending the fuel to the engine, which then generates electricity from that reformate. Operators can also configure the same engine to run on natural gas, allowing facilities to switch fuel sources as operational needs change.[1]

The 2G engine can additionally be configured as a cogeneration system, producing electricity and usable thermal energy - such as hot water - simultaneously to maximise overall system efficiency.[1] For a data center, that thermal output could offset cooling loads, though neither company has disclosed specific efficiency figures for the ammonia-fuelled configuration in this test.

The demonstration confirmed the core technical interface between the ammonia reformer and engine, including fuel delivery, controls, and integrated system operation.[1]

The dual-fuel logic

The design reflects a commercial calculation that is becoming common across behind-the-meter generation: operators cannot wait for low-carbon fuel supply chains to mature before they need power capacity. The system allows use of readily available natural gas today while establishing a phased transition towards ammonia over time, helping data centers address immediate power needs while supporting longer-term decarbonisation goals.[1]

The unit's modular architecture would permit phased capacity expansion, which the companies claim will align power availability with the development of data center builds.[1] That modularity matters in a market where interconnection queues can stretch years and large-load customers are increasingly expected to bring their own generation to the point of connection.

Where Amogy is building its commercial pipeline

The Houston test is not Amogy's only active commercial push. In June 2026, Amogy signed a supply agreement with South Korea's Amun Energy for a project in Pohang that will begin with a 1 MW pilot system before scaling to 40 MW of installed ammonia-based power generation capacity by 2029. Amogy has also signed a partnership with Japan-based Hoku Infrastructure to identify opportunities to integrate ammonia-to-power technology in data centers and other off-grid applications in Japan and Asia.

The companies plan to pursue joint deployments in the US, Asia, and other regions following the Houston demonstration.

What to watch

The immediate next step is optimisation: following the tests, the partners will seek to optimise the integration of the two technologies for future deployments.[1] The harder questions - ammonia supply chain reliability, delivered cost per MWh against grid alternatives, and how regulators treat on-site ammonia storage at data center campuses - remain unanswered in the public record. Commercial deployment timelines and any customer announcements will be the signal that this moves from demonstration to infrastructure.

Isometric diagram of a modular behind-the-meter power generation unit at a data center campus: ammonia storage tank on the left feeding into a compact reformer unit, connected by pipes to a reciprocating engine-generator set, with power cables running to a server building on the right, industrial outdoor setting, clear labels on each component

The images and texts on this page were created with the help of AI.

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