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David Viveros Salazar

How to Choose a Methane Sensor for Monitoring Concentration NEAR the LEL

Monitoring of methane levels is largely driven by the range in concentration of methane you are trying to detect. Detection of methane near the lower-explosive-limit (LEL) is obvious since exceeding the LEL can be extremely dangerous. Most of the commercially available solutions focus on this methane concentration level. In this post I want to highlight some of the current options for detection of the LEL that are commercially available.

How to Choose an Off-the-Shelf Methane Sensor Module

There are various methods for measuring the presence of methane gas. My favorite is the laser-based absorption spectroscopy method. That’s what my PhD is in. Sometimes though, there are simpler “off-the-shelf” methods for measuring this invisible, naturally odorless, and valuable gas resource. The table below contains a list of commercially available sensors you can use …

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Using AI Tools for Measuring Atmospheric Methane

TLDR: A dataset of simulated absorbance scans and a 1D convolutional neural net were used to train a model to predict methane mole fraction to within 0.25% of actual mole fraction. This provides the potential to rapidly improve data processing of TDLAS-based sensors. 1. Initial Absorbance Simulation We start with simulating methane absorbance. By using …

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Understanding Gas Composition of Li Ion Batteries During Thermal Runaway Gas Venting – A TDLAS Case Study

It turns out Li ion batteries (LIBs) vent TDLAS friendly gases. So I’m going to quickly break down which gases are vented and in what concentrations. This summary is focused on LiFePO4 (LFP) batteries since it seems these are the safest of the LIBs currently available.  First, a little context on what causes the gas …

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Artificial neural network reduces spectral shift

Artificial Neural Network Reduces Spectral Shift: Precision Enhancement in Mid-Infrared Spectrometry

Spectrometer Steers HITRAN simulations of water and methane are used as inputs to an artificial neural network (ANN) that provides water concentration as the output. The ANN is able to correct mid-infrared (MIR) spectrometer measurements to within a margin of error of +/- 1% when compared to results from a relative humidity sensor (Bosch BME280). …

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Coin sized sensor with 1 meter pathlength

Coin-Sized Sensor with 1 Meter Pathlength: Precision Atmospheric Oxygen Measurement via TDLAS

Quick Summary A TDLAS sensor incorporates a 4 cm disk to generate a 1 m pathlength and measure atmospheric oxygen levels using the 763 nm line. Researchers use a WMS-2f peak detection scheme to measure atmospheric oxygen concentration over a period of 24 hours. The VCSEL-detector package weighs 75 g and measures 90 x 40 …

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100 micron sized FTIR spectrometer

100 Micron-Sized FTIR Spectrometer: ETH Zurich’s Miniaturized Innovation for Advanced Spectral Sensing

To The Point ETH Zurich led study demonstrates a room-temperature miniaturized Fourier-transform infrared (FTIR) spectrometer, 100 μm x 100 μm x 100 μm. A leaky waveguide scatters incoming light onto a near-infrared photoactive layer of quantum dots (QD). A gold mirror is displaced up to 100 μm relative to the monolithic device and results in …

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Frequency comb with 81 meter pathlength

UBC’s Breakthrough Study: Enhanced Gas Detection with Ultrabroadband Frequency Comb & Diamond Technology

To The Point University of British Columbia led study combines ultrabroadband (~7-15 μm, 1-2 μm) frequency comb with an 81 m pathlength cavity. A wedged diamond plate is used as the input and output coupler to the cavity in contrast to the traditional use of a partially transmissive input coupling mirror. While 1 ppm methanol …

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