Comparison of Low-Cost CO2 Non-Dispersive Infrared (NDIR) Sensors for Ambient Greenhouse Gas Monitoring

Presenter's Name(s)

Annaliese KeimelFollow

Conference Year

January 2019

Abstract

A comprehensive analysis of two low-cost, small footprint non-dispersive infrared (NDIR) CO2 sensors for incorporation into lightweight drone-based sensing applications. The sensors of interest are produced by SenseAir and are the models K30 1% FR and K33 10,000ppm ELG. Low-cost portable sensors such as these are becoming increasingly common, but require thorough analysis of their accuracy, sensitivity to environmental noise, and response time in order to increase their reliability for accurate CO2 measurement applications. The sensors were tested against benchmark instruments in a flow through chamber. The goals of this project are to increase understanding of both sensors’ characteristics, especially sensitivity to ambient temperature and relative humidity conditions.

Primary Faculty Mentor Name

Britt Holmen

Status

Undergraduate

Student College

College of Engineering and Mathematical Sciences

Program/Major

Environmental Engineering

Primary Research Category

Engineering & Physical Sciences

Abstract only.

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Comparison of Low-Cost CO2 Non-Dispersive Infrared (NDIR) Sensors for Ambient Greenhouse Gas Monitoring

A comprehensive analysis of two low-cost, small footprint non-dispersive infrared (NDIR) CO2 sensors for incorporation into lightweight drone-based sensing applications. The sensors of interest are produced by SenseAir and are the models K30 1% FR and K33 10,000ppm ELG. Low-cost portable sensors such as these are becoming increasingly common, but require thorough analysis of their accuracy, sensitivity to environmental noise, and response time in order to increase their reliability for accurate CO2 measurement applications. The sensors were tested against benchmark instruments in a flow through chamber. The goals of this project are to increase understanding of both sensors’ characteristics, especially sensitivity to ambient temperature and relative humidity conditions.