RNG production is only as reliable as the gas entering the system, which is where the real challenge lies. Dairy, landfill, wastewater, and biomass sources all produce gas streams with different compositions, contaminants, and variability. This means no two gas streams are the same, and therefore, each application requires a tailored treatment approach to achieve optimal performance, reliability, and efficiency.
That’s where engineered skid solutions make the difference.
Adapting to Gas Stream Variability
Each feedstock requires a different approach:
- Dairy & wastewater biogas typically contains high levels of moisture and hydrogen sulfide (H₂S), which can accelerate corrosion, damage equipment, and reduce system efficiency if not properly managed. These applications require robust gas conditioning, moisture removal, and sulfur treatment to protect downstream processes and ensure consistent operation.
- Landfill is among the most complex RNG feedstocks. In addition to H₂S, it often contains siloxanes, volatile organic compounds (VOCs), oxygen, and fluctuating methane concentrations. Effective treatment requires advanced pretreatment technologies, process controls, and monitoring systems to safeguard upgrading equipment and maintain gas quality specifications.
- Biomass from agricultural residues, wood waste, or other organic materials can contain elevated levels of tars, particulates, and condensable compounds. These contaminants demand multi-stage conditioning and cleanup before the gas can be efficiently upgraded to pipeline-quality RNG.
Because no two projects produce the same gas profile, a one-size-fits-all approach rarely delivers optimal results. Stark Tech‘s engineered skid systems are designed around the specific characteristics of each feedstock, integrating the right combination of separation, treatment, compression, and control technologies to address site-specific conditions. The result is a tailored solution that improves reliability, maximizes methane recovery, reduces operating costs, and delivers long-term performance.
Integrated Solutions for Contaminant Management
Our skid systems combine the critical treatment steps needed to protect downstream equipment and support reliable plant performance. From tar mitigation to moisture and particulate removal, each package is configured to address the specific contaminants present in the gas stream.
These systems can include the following to remove particulates; and specialized components to handle tar, trace contaminants, and other challenging compounds.
- Cooling, knock-out, and drying systems to manage moisture
- Multi-stage filtration and separation for particulates
- Specialized components for handling tar and trace contaminants
By bringing these technologies together into one cohesive, optimized system, we help reduce operational risk, improve equipment protection, and support more consistent RNG production.
Built for Flexibility, Reliability, and Scale
Stark Tech’s custom skid configurations are engineered to adapt to the unique demands of each application. Our systems are designed to:
- Handle fluctuating gas compositions and flow rates
- Accommodate a wide range of feedstocks and contaminant profiles
- Scale from small decentralized facilities to large commercial operations
- Simplify installation with pre-engineered, factory-tested systems
- Support easier maintenance and long-term operational reliability
The Result
Successful RNG production starts with understanding the gas stream. Rather than forcing diverse feedstocks into a standardized treatment process, Stark Tech designs skid solutions around the specific characteristics of the gas, integrating the right technologies to manage contaminants, protect equipment, and optimize performance.
The result is a more resilient, efficient RNG system that can consistently deliver pipeline-quality gas despite changing operating conditions and feedstock variability. By addressing gas treatment challenges at the source, operators can reduce downtime, lower maintenance costs, and maximize long-term project value.
