top of page
Drone-lagoon_edited.jpg

Advanced Methane Emissions Studies for Biogas, RNG, Digesters, and Covered Lagoons

Turn Methane Loss Into Operational Intelligence
 

image.png

Interpolated maps show methane detection sources from 1 ppm-v to 100% methane. Click on any data point for an in-depth view of the area of concern. 

Whether you operate an anaerobic digester, covered lagoon, wastewater treatment plant, food waste digester, or renewable natural gas (RNG) facility, every methane leak represents lost revenue, reduced system efficiency, increased greenhouse gas emissions, and potential regulatory risk.

​

Sniffer Robotics provides advanced methane emissions studies that help operators identify, quantify, and understand methane emissions across their entire operation. By combining the proprietary SnifferDRONE™, high-resolution methane detection system, state-of-the-art handheld equipment, and GIS-based analytics, we deliver actionable data that helps operators:

​

  • Locate fugitive methane emissions

  • Reduce product gas losses

  • Improve RNG production efficiency

  • Optimize digester and gas collection performance

  • Prioritize maintenance using real emissions data

  • Verify repairs with confidence

  • Support environmental reporting and sustainability initiatives
    ​

Rather than simply finding leaks, Sniffer Robotics provides the intelligence needed to improve operational performance while maximizing renewable energy recovery.

Our methane emissions studies are designed for virtually every type of biogas operation, including:

​

  • Dairy digesters

  • Livestock digesters

  • Food waste digesters

  • Industrial anaerobic digesters

  • Wastewater treatment plants

  • Covered lagoons

  • Renewable Natural Gas (RNG) upgrading facilities

  • Biogas processing plants

  • Gas collection piping

  • Compressors, blowers, valves, flanges, and process equipment

From biological gas production through pipeline injection, Sniffer Robotics helps operators understand where methane is escaping and where valuable product gas can be recovered.

Complete Methane Monitoring for Every Biogas Facility

PPI-Biogas_edited.jpg

Sniffer Technicians manually inspect, and tag, gas processing equipment.

Why Conduct a Methane Emissions Study?

Image (9).jpg

The SnifferDRONE inspects digesters at a Wastewater Treatment Facility

Whether you operate an anaerobic digester, covered lagoon, wastewater treatment plant, food waste digester, or renewable natural gas (RNG) facility, every methane leak represents lost revenue, reduced system efficiency, increased greenhouse gas emissions, and potential regulatory risk.

​

Sniffer Robotics provides advanced methane emissions studies that help operators identify, quantify, and understand methane emissions across their entire operation. By combining the proprietary SnifferDRONE™, high-resolution methane detection system, state-of-the-art handheld equipment, and GIS-based analytics, we deliver actionable data that helps operators:

​

  • Locate fugitive methane emissions

  • Reduce product gas losses

  • Improve RNG production efficiency

  • Optimize digester and gas collection performance

  • Prioritize maintenance using real emissions data

  • Verify repairs with confidence

  • Support environmental reporting and sustainability initiatives
    ​

Rather than simply finding leaks, Sniffer Robotics provides the intelligence needed to improve operational performance while maximizing renewable energy recovery.

The SnifferDRONE™ collects thousands of methane measurements during every survey, creating high-resolution methane maps that show exactly where emissions originate.

​

Unlike conventional aerial methane sensors that measure methane high above a facility, the patented SnifferDRONE™ samples air only 2–4 inches above the surface using a flexible hose and weighted nozzle. This hyper-local sampling approach identifies methane at its source while minimizing atmospheric dilution, resulting in highly accurate leak localization.

​

Combined with SnifferVIEW™ GIS software, operators receive:

  • Full-color methane heat maps

  • Leak localization

  • GPS-tagged inspection data

  • ArcGIS-ready deliverables

  • Repair verification reports

  • Historical trend analysis

  • Cloud-based reporting
    ​

Instead of spreadsheets full of numbers, your team receives visual intelligence that makes maintenance decisions faster and easier.

Beyond Leak Detection—Methane Intelligence

Digestor.png

By combining aerial inspections of anaerobic digesters with manual inspections of the processing skid, operators gain a comprehensive understanding of facility-wide methane emissions, helping prioritize maintenance, reduce product gas losses, and optimize gas production.

Positive Pressure Plant Inspections

Tagged Penetration.jpg

Using state-of-the-art methane detection technologies, Sniffer technicians identify leaks and tag the location. 

Methane losses don't stop at the digester.

​

Sniffer Robotics also performs comprehensive positive-pressure inspections throughout RNG and biogas facilities, including:

  • Valves

  • Flanges

  • Compressors

  • Blowers

  • Pressure relief devices

  • Process piping

  • Gas conditioning equipment

  • Upgrading systems

 

Each leak is photographed, GPS located, physically tagged when appropriate, and quantified in SCFM, allowing operators to estimate product loss and prioritize repairs based on financial impact rather than guesswork.

Finding methane leaks is only part of the picture. Understanding how much methane is being emitted across your entire facility provides the insight needed to prioritize repairs, evaluate system performance, and measure the impact of operational improvements.

​

Sniffer Robotics partners with Project Canary to convert high-resolution methane mapping data collected by the SnifferDRONE™ into facility-wide methane emissions quantification using flux plane analysis. By combining detailed source localization with advanced atmospheric modeling, operators receive an estimate of total site methane emissions expressed as a single facility-wide emissions rate.

This comprehensive approach gives biogas and RNG operators the ability to:

  • Estimate total methane emissions from the entire facility

  • Quantify product gas losses and identify opportunities for recovery

  • Prioritize repairs based on emissions impact

  • Measure the effectiveness of maintenance and infrastructure improvements

  • Track emissions performance over time

  • Support ESG initiatives and voluntary methane reduction programs

  • Build confidence in environmental reporting and sustainability goals

 

Industry-Leading Performance

The combined Sniffer Robotics and Project Canary quantification workflow was recently recognized by FluxLab as one of the top-performing technologies in an independent controlled-release evaluation of methane quantification methods. This recognition demonstrates the accuracy and reliability of combining high-resolution methane mapping with advanced flux plane quantification to estimate total site methane emissions.

​

Know where methane is escaping. Understand how much is being lost. Make better operational decisions with data you can trust.

Comprehensive Facility Methane Quantification

Pictured above is a a flux plane analysis in kg/hr along with a wind rose view showing hyperlocal wind velocities based on data sampled from the SnifferDRONE.

Project_Canary_Logo_edited_edited.png

Why Operators Choose Sniffer Robotics

Operators choose Sniffer Robotics because they need more than leak detection—they need actionable methane intelligence.

​

Our technology helps facilities:

  • Recover more saleable gas

  • Improve renewable natural gas production

  • Reduce methane emissions

  • Increase operational efficiency

  • Improve worker safety

  • Make data-driven maintenance decisions

  • Prepare for evolving methane regulations

  • Demonstrate environmental stewardship

  • ​

Whether you're managing a single digester or multiple RNG facilities across North America, Sniffer Robotics delivers the high-resolution methane data needed to maximize performance while reducing emissions.

bottom of page