
TECHNOLOGY TO ACCELERATE ORGANIC WASTE CONVERSION
THE RNG ACCELERATOR
Rather than modifying the slow biological conditions within an anaerobic digester, we create optimal conditions prior to the digester to maximize the production of acetic acid - the food that methanogenic bacteria need to produce methane gas - offering a more sustainable and dynamically controllable solution for energy production and organic waste management.

SUSTAINABLE SOLUTIONS
Our commitment to sustainability drives our innovative approach to produce more beneficial energy, reduce organic waste, and prevent uncontrolled greenhouse gas emmissions while reducing capital and operating costs. We are revolutionizing renewable energy and the waste management industry.
ENVIRONMENTAL STEWARDSHIP
At Vertogen, we are dedicated to minimizing emissions, minimizing cost and maximizing energy production. Our technology ensures the waste we process, and the energy we generate, significantly reduces greenhouse gas emissions and contributes to a cleaner and healthier environment.
OPTIMIZED PERFORMANCE
The RNG Accelerator is optimized for various organic waste streams using a proprietary process control system and control sensors. Real-time data and analytics enhances operational efficiency and minimizes the need for operator attention.

ENERGY STORAGE OR BIOSYNTHESIS
Our RNG Accelerator technology produces acetate as a key intermediate, giving us precise control over energy output. We can either feed this acetate into an anaerobic reactor on demand to regulate energy production, or divert it to manufacture high-value biosynthetic chemicals—such as medium-chain volatile fatty acids used to create bioplastics. This dual capability represents a major leap forward in optimizing bioenergy recovery and maximizing generation efficiency.
DATA ANALYTICS AND INSIGHTS
We optimize methane production from highly variable feedstocks using real-time sensor analytics that provide a continuous, high-fidelity view of the reactor's biochemical state. Our analytics engine enables the system to automatically adjust feed rates in response to changing feedstock characteristics, maintaining optimal acetate production to ensure consistent, maximized methane yields.
