Title: EMERGING TECHNOLOGY S12'28 AN ULTRASENSITIVE, MULTISPECIES TRACE GAS ANALYZER FOR PROCESS ANALYSIS
1EMERGING TECHNOLOGY / S-12.28AN ULTRA-SENSITIVE,
MULTI-SPECIES TRACE GAS ANALYZER FOR PROCESS
ANALYSIS
- Eric Crosson, Kathleen Hartnett
- Picarro, Inc.
2Outline of Presentation
- Description of CAFO Application
- Description of six species analyzer
- Overview of analyzer performance
3Analyzer Requirements
- Increasing need for multi-species,
parts-per-billion level gas analysis in
industries such as - petrochemical process control
- combustion analysis
- environmental monitoring
- Require measurement speeds ranging from a few
minutes to less than one second - Must operate in complex gas streams with little
or no sensitivity to other gas species - Need to operate for long periods of time without
human intervention and without long term drift or
periodic calibration
4CAFO Application
Ambient Air Monitoring at Concentrated Animal
Feeding Operations (CAFO)
- CAFOs (think thousands of swine or poultry in
small area) produce toxic gases at elevated
concentrations. - Hydrogen sulfide
- Ammonia
- Methane
- Nitrogen oxide
5Why monitor CAFOs
- The number of CAFOs has been growing rapidly.
- Several thousand CAFOs in the US alone
- Human Health Issue
- Respiratory diseases and dysfunction among
workers within CAFOs well documented - Environmental Issue
- True extent to which agricultural activities
contribute to air pollution is unknown
Efforts to regulate emissions are confounded by a
lack of accurate data
6CAFO Prototype
Prototype Six-Species Trace Gas Analyzer
- All six species measured in 12 minutes
- NH3, H2S, N2O, and H2O precision given as 1-sigma
at zero - CH4 and CO2 precision given as 1-sigma at
atmospheric concentrations - Dynamic range is 104 or higher
7Cavity Ringdown Spectroscopy (CRDS)
Laser based optical technique
- The basic measurement algorithm is
- Tune laser and cavity to desired wavelength
- Inject light into the cavity
- Once light circulating in the cavity hits a
threshold, stop injecting - Measure decay time of light in cavity
- Compare decay time to that of an empty cavity
- Repeat
8Important Features of the Analyzer
Instrument Measures and/or controls
Absorption (measured) Wavelength
(controlled) Pressure (controlled)
Temperature (controlled)
Spectrum
Measured Spectrum Pressure and Temperature
Concentration or Isotopic Ratio
9Concentration Derived from Line Shape
Galatry Line profile
- Five fit parameters
- center frequency c
- line strength s
- thermal broadening velocity v
- Lorentzian (pressure) broadening y
- Galatry line narrowing z
Well understood Spectroscopy
10Overview of CRDS Analyzer
- Cavity Ringdown Spectroscopy (CRDS) is a laser
based optical technique - High Sensitivity
- An extremely long effective path length
- Insensitive to optical power fluctuations
- Good Chemical Specificity
- Able to distinguish individual absorption
features - High Accuracy
- Excellent Linearity
- High Reliability / Easy to Use
- Telecom grade components
11Summary of Key Features
- Ability to isolate a single absorption feature.
- High linearity Concentration linearly
proportional to peak height or area. - Little or no cross-talk Able to isolate a single
absorption feature. - Long path length High finesse cavity provides an
effective path length of tens of kilometers. - Ability to control sample temperature to 1 part
in 2000 and pressure to 1 part in 500. - Low baseline and span drift.
12Absorption Spectrum
SPECTRA TAKEN WITH THE CRDS ANALYZER
13Sample Temperature Stability
Temperature Stability to better than 1 part in
2000
14Sample Pressure Stability
Pressure Stability to better than 1 part in 500
15Allan Variances
Ringdowns
Ability to average 100,000 individual
ringdowns and wavelength monitor measurements
Wavelength Monitor
Follows the vN for gt 100,000 individual
measurements
16Linearity
- CRDS is very linear
- Beer-Lambert law
- Isolate a single absorption feature
- Reduced sensitivity to line broading
17CAFO Six Species Prototype
- Utilizes four telecom grade distributed feedback
(DFB) lasers. - Light from each DFB directed using optical
switches. - Wavelength monitor has wavelength range enabling
the analyzer to measure any wavelength between
1500 nm and 1650 nm. - This new broad band wavelength monitor has a
wavelength resolution of better than 3 MHz.
18Six Species Prototype Performance
Prototype Measurement at zero NH3
Prototype Measurement at zero H2O
Precision 0.12 ppbv _at_ zero NH3
Precision 0.0005 _at_ zero H2O
19Six Species Analyzer Performance
Prototype Measurement at zero H2S
Prototype Measurement of 3.6 ppmv H2S
Precision 5.7 ppbv _at_ 3.6 ppmv H2S
Precision 0.35 ppbv _at_ zero H2S
20Six Species Analyzer Performance
Prototype Measurement of 1.0 ppmv CH4
Prototype Measurement of 2.5 ppmv CH4
Precision 0.2 ppbv _at_ 2.5 ppmv CH4
Precision 0.08 ppbv _at_ zero CH4
21Six Species Analyzer Performance
Prototype Measurement of 382 ppmv CO2
Prototype Measurement at zero N2O
Precision 0.4 ppbv _at_ 382 ppmv CO2
Precision 16 ppbv _at_ zero N2O
22Ability to Average Data
- Analyzer stability enables averaging up to 15
minutes without significant systematic error. - Wavelength monitor
- Pressure control system
- Temperature control system
23Effects of Interfering Gas Species
- Analyzer able to measure a single gas with little
or no effects from interfering gas species.
- Isolate a single absorption feature
- Wavelength monitor enables accurate determination
of line widths
24Effects of Ambient Temperature
- Analyzer able to measure with little or no
effects from changes in ambient temperature. - Temperature control system
25Measurements of CH4, CO2, and H2O
26Additional Features
High Speed10 Hz Analysis, CO2
- Scanning flexibility allows
- application specific spectral scanning schemes
- 10 Hz operation for monitoring dynamics and
capturing transients
27Conclusion
- A six-species analyzer based on CRDS has been
developed - Ammonia
- Hydrogen sulfide
- Nitrous oxide
- Methane
- Carbon Dioxide
- Water Vapor
- By changing lasers and software, the analyzer can
be modified to measure gas species important to - petrochemical process control
- combustion analysis
- environmental monitoring
28Acknowledgements
- Ed Wahl, Chris Rella, Sze Tan, Hoa Pham, Picarro
Research Team - Professor Teng Teeh Lim, Department of
Agricultural and Biological Engineering, Purdue
University - Work supported by the U.S. Department of Energy
under Contract No. DE-FG02-03ER83751 and the USDA
under Award No. 2006-33610-16835.