Technologies

Autonomous Flux Chamber System

“Bridging the gap between Conventional Short-term Measurements and Continuous Autonomous Methane Emissions Monitoring”

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Introduction

Our advanced Autonomous Flux Chamber System is a standalone, intelligent solution designed to automate the measurement of soil-atmosphere gas exchange. By eliminating manual sampling errors and providing high-frequency data via IoT server, it serves as a critical tool for quantifying methane footprints in the era of carbon neutrality.

Figure 1. Prototype of the autonomous flux chamber system (ReGen Monterey Landfill case); a) build-up of methane gas; b) evacuation of methane gas using mini air pumps

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Why should we go automated? 

• The landfill is “alive”
  : Emissions are dynamic, varying significantly across both space and time.

• Weather-driven fluctuations
  : Methane emissions are highly sensitive to meteorological changes. We observe 10x to 100x increases following precipitation, low barometric pressures, or changes in landfill operations. 

• The failure of manual methods
  : Conventional chamber methods are costly, labor-intensive, and technologically outdated. Without continuous data acquisition, they fail to quantify the critical temporal variations of methane emissions.

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Core Technology & Key Features

• Continued and Automated System
  : Using high-efficiency mini-pumps to purge the gas inside chamber at the programmed gas concentration limit. This allows continuous gas build-up and purging so that the chamber system can capture real-time data 24/7

• Versatile Application and Sensing System
  : Integrates an NDIR sensor and a 3-in-1 multifunctional sensor to monitor surface methane concentration, temperature, barometric pressure, and humidity in real-time. Leveraging higher accuracy and fine resolution sensors, this versatile system can be engineered for a wide range of environmental and industrial applications.

• Climate-Resilient Engineering
  : Built with rugged, weather-proof materials to ensure reliable long-term monitoring in extreme environments, from wetlands to landfills.

• Wireless Data Ecosystem (IoT)
  : All collected data are transmitted via IoT server, and this system enables immediate remote analysis.