Patents and Technology -- Nodal Power Systems

Patents and Technology

Four issued patents. One pending. Designed for the way energy and data center infrastructure work together.

Nodal Power Systems owns or exclusively licenses four issued U.S. patents, with one additional patent pending. Our patents protect the integration of dispatchable power generation with on-site fuel sources and co-located compute facilities.

Issued U.S. patents

Patent pending

2043

Projected expiry (approx.)

Technology families

Our technology

The architecture behind an AI energy center campus.

Our patents are organized around two technology families: optimized local power systems capable of contributing energy to the grid while also powering co-located compute facilities, and biogas-fueled off-grid data center systems.

We developed and validated this architecture at commercial scale at our Four Peaks (New Mexico) and Wasatch (Utah) projects, where we operated dispatchable power generation in conjunction with on-site high-performance computing. This is the same architecture an AI energy center campus requires.

Our current issued patents are projected to expire on or about September 29, 2043.

Issued patents

Four patents. One unified architecture.

Each patent builds on the same core system ‚Äî a generator, controller, and connected sub-loads ‚Äî extending coverage across different operating modes, inputs, and optimization strategies.

Issued

Patent 1 of 4

Optimized Local Power Systems

Covers generator and controller systems capable of determining which of several available sub-loads to connect to the generator based on input biogas characteristics and generated power output.

Key claims include

Data center loads Load anticipation Grid delivery Grid-condition sub-load selection

Issued

Patent 2 of 4

Optimized Local Power Systems

Covers determining power generation limits based on input gas characteristics, determining the optimal mix of power to output to the grid or sub-loads, and dynamically controlling output power to two or more sub-loads.

Key claims include

Data center loads Dynamic load switching Multi-sensor monitoring Optimal grid-load mix

Issued

Patent 3 of 4

Optimized Local Power Systems

Covers systems combining a generator set, battery storage, EV charging stations, and a controller programmed with machine-learning models to optimize power flow across all components.

Key claims include

Local data center power Grid-condition dispatch ML optimization Battery state management

Issued

Patent 4 of 4

Optimized Local Power Systems

Covers generator and controller systems that recursively monitor output data, determine which sub-loads to connect to balance generator output, and control connections accordingly.

Key claims include

Local data center power Fuel consumption optimization Recursive monitoring Load-balance control

Patent pending

Biogas Fueled Off-Grid Data Center Systems

Covers systems and methods for powering and operating a data center using biogas, including landfill gas extracted from a landfill. This patent family extends our portfolio into fully off-grid configurations, covering containerized data center deployments powered entirely by on-site biogas generation.

Key claims include

Containerized data centers Off-grid biogas power Landfill gas systems Cloud computing applications

Filed October 13, 2021

Our current issued patents are projected to expire on or about September 29, 2043, providing approximately 17 years of remaining protection covering the core architecture of our energy center campus model.

Sept. 2043

Projected patent expiry

Why it matters

Built for the AI infrastructure problem.

Modern AI workloads place unprecedented, concentrated demand on the electricity system. Our patents protect the integration model that addresses it directly.

Speed the grid cannot match

Utility-scale generation and transmission expansion operate on multi-year timelines. Co-located, dispatchable generation sidesteps interconnection queues and delivers power when and where AI deployments need it.

Reliability AI workloads require

On-site generation with dynamic sub-load switching and machine-learning optimization means the system can respond to changing load conditions in real time, keeping compute facilities online without grid dependency.

Validated at commercial scale

We built and operated this architecture at the Wasatch project in Utah, including a 280 kW pilot with Mara Holdings (NASDAQ: MARA) that achieved approximately 92% uptime, confirming the patents describe a working system, not a theoretical one.

Licensing and partnerships

Questions about our patents or technology?

For licensing inquiries or technical partnership discussions, reach our technology team directly.

info@nodalpower.com ir@nodalpower.com INVESTOR RELATIONS