Development of Gas Sensor Array for Methane Reforming Process Monitoring
Abstract
:1. Introduction
2. Materials and Methods
2.1. Chemical Gas Sensors
2.2. Gas Mixtures Preparation
- (1)
- Assumption of the desired concentration of individual chemical substances in the gas mixture (, ppm v/v),
- (2)
- Assumption of the total volume of the gas mixture (, mL),
- (3)
- Determination of the volume of individual substances that must be dosed into the Tedlar bag (, mL):
- (4)
- Determination of the air volume (, mL), which must be dosed into the Tedlar bag:
2.3. Gas Sensor Array Measurements
2.4. Data Analysis
- (1)
- Determination of the principal components using the principal component analysis (PCA) method. It allows obtaining an uncorrelated matrix of variables.
- (2)
- Development of the Multiple Linear Regression (MLR) model with the use of principal components as variables.
3. Results
- Inlet molar ratio (IMR):
- Outlet molar ratio (OMR):
- Methane conversion level (MCL):
4. Discussion
5. Conclusions
Author Contributions
Funding
Conflicts of Interest
References
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Sensor Array | Number of Sensors | Process | Reference |
---|---|---|---|
An infrared matrix sensor | 1 | Monitor the FC stack temperature distribution | [3] |
An array of thin film tin oxide sensors prepared by RF sputtering onto alumina and doped with chromium and indium | 16 | Wine classification and prediction based on an electronic nose (e-nose) | [4] |
Metal oxide semiconductors (MOSs) and Metal Oxide semiconductor field-effect transistors (MOSFETs) | 50 | Monitors bioreactors and highlights their potential for controlling quality and safety, and for the optimization and automatic control of bioprocesses | [5] |
MOSFET-sensors with catalytic metal gates of palladium, iridium or platinum | 10 | Non-invasive monitoring of the physiological changes in fermentation processes | [6] |
Five TGS sensors from Figaro, Japan (TGS-832, TGS-823, TGS-2600, TGS-2610 and TGS-2611) | 5 | Predicting the optimum fermentation time at an earlier stage of the process | [7] |
Sensor array of different types of metal oxide gas sensor (MOSs) | 8 | Study the tempeh fermentation process and the stages of this process | [8] |
Sensor array was comprised of five sensors supplied by Figaro (Japan) and five sensors obtained from HANWIE Electronics (China) | 10 | Identification of different types of saffron, stigma of Crocus sativus, based on their volatile organic compounds (VOCs) | [9] |
Semiconducting tin dioxide based sensors and an optical carbon detector | 4 | Monitoring an ethanol batch cultivation with the yeast Saccharomyces cerevisiae | [10] |
Metal oxide sensor arrays | 10 | Prediction of the alcohol content of the green jujube wine fermentation | [11] |
Sensor array containing different gas-sensitive semiconductor devices and an infrared gas sensor | 14 | Measuring the emission from a production-scale baker’s yeast manufacturing process and monitor the gas emission from a yeast culture bioreactor during fed-batch operation | [12] |
Metal oxide sensor arrays | 9 | Determine the fermentation degree of cocoa beans | [13] |
Metal oxide semiconductors (MOS) chemical sensors | 18 | Identification of different fermentation times and bile species of Bile Arisaema | [14] |
Potentiometric sensor array: polymeric cation-sesnitive (8), polymeric anion-sensitive (8) and metallic and chalcogenide glass sensor with RedOx sensitivity | 23 | Real-time monitoring of ammonium and nitrate nitrogen in processed water at aeration plant | [15] |
Hybrid sensor array composed by InterDigitated Chemocapacitora (IDVc) with the appropriate read-out electronic | 8 | The monitoring and evaluation and control of the specific Volatile Organic Compounds (VOCs) | [16] |
Analysis Method | Advantages | Disadvantages |
---|---|---|
Gas chromatography |
|
|
Gas sensor arrays |
|
|
Sensor Type | Model | Detected Gases |
---|---|---|
Catalytic | TGS6810 | methane, propane, iso-butane |
Catalytic | TGS6812 | methane, propane, hydrogen |
Electrochemical | TGS4161 | carbon dioxide |
Electrochemical | TGS5042 | carbon monoxide |
Metal Oxide Semiconductor | TGS2600 | methane, carbon monoxide, hydrogen |
Metal Oxide Semiconductor | TGS2602 | hydrogen, toluene, ethanol |
Metal Oxide Semiconductor | TGS2603 | hydrogen, ethanol |
Metal Oxide Semiconductor | TGS2611 | ethanol, hydrogen, methane |
Metal Oxide Semiconductor | TGS3870 | carbon monoxide, methane |
Metal Oxide Semiconductor | TGS823 | carbon monoxide, methane, iso-butane |
Metal Oxide Semiconductor | TGS8100 | methane, hydrogen, ethanol |
TGS2600 | 0.114 | 0.034 | 0.216 | 0.332 |
TGS2602 | 0.089 | 0.022 | 0.091 | 0.087 |
TGS2603 | 0.082 | 0.025 | 0.085 | 0.221 |
TGS2611 | 0.196 | 0.015 | 0.102 | 0.146 |
TGS3870 | 0.165 | 0.012 | 0.033 | 0.074 |
TGS4161 | 0.012 | 0.307 | 0.013 | 0.022 |
TGS5042 | 0.019 | 0.009 | 0.247 | 0.042 |
TGS6810 | 0.005 | 0.002 | 0.005 | 0.005 |
TGS6812 | 0.004 | 0.001 | 0.006 | 0.005 |
TGS823 | 0.211 | 0.019 | 0.233 | 0.185 |
TGS8100 | 0.052 | 0.011 | 0.138 | 0.201 |
DRM Inlet Stream | DRM Outlet Stream | |
---|---|---|
total number of mixtures | 36 | 81 |
50, 100, 200, 300, 400, 500 ppm v/v | 10, 50, 100 ppm v/v | |
50, 100, 200, 300, 400, 500 ppm v/v | 10, 50, 100 ppm v/v | |
- | 100, 250, 500 ppm v/v | |
- | 100, 250, 500 ppm v/v |
Producer | Model | Technology | Range | Accuracy | Response Time | Reference |
---|---|---|---|---|---|---|
Gdańsk University of Technology | Sensor matrix prototype | MOS and EC gas sensors | , , , : 0–100% (using dilution system) | 5% Full Scale (FS) | <90 s to 90% step range (MOS) | - |
Cubic Sensor and Instrument Co. | Portable Infrared Syngas Analyzer Gasboard-3100P | , , (NDIR) (TCD) | : 0–30% : 0–25% : 0–10% : 0–30% | 2% Full Scale (FS) | <15 s to 90% step range (NDIR) | [31] |
Cubic Sensor and Instrument Co. | Syngas Analysis System Gasboard-9021 | , , (NDIR) (TCD) | : 0–30% : 0–25% : 0–10% : 0–30% | , , < 1% FS <2% FS | <15 s to 90% step range (NDIR) | [32] |
Hubei Cubic-Ruiyi Instrument CO. | Portable Natural Gas Analyzer Gasboard-3110P | , (NDIR) | : 0–5% : 0–100% | <2% FS | <15 s to 90% step range (NDIR) | [33] |
Nova Analytical Systems (a Unit of Tenova Goodfellow Inc.) | 970P Portable Multi-Gas Industrial Analyzers | , , (NDIR) (TCD) | : 0–2% or 0–50% : 0–2% or 0–50% : 0–2% or 0–50% : 0–2% or 0–50% | 0.1% for all gases <1% FS in 8 h | 20–30 s to 90% step range | [34] |
VASTHI Instruments Pvt Ltd | Online Syngas Analyzer by Vasthi | , , (NDIR) (TCD) | : 0–100% : 0–100% : 0–50% : 0–50% | , , : 0.5% from range or ± 3% : ±5 ppm or 5% | 45 s to 90% step range | [35] |
Wuhan Tianyu Intelligent Control Technology Co., Ltd. (TIANYU) | Syngas Analyzer Portable SYN-600 | , , (NDIR) (TCD-MEMS) | : 0–100% : 0–100% : 0–100% : 0–100% | , , : ±2% FS : ±3% FS | 45 s to 90% step range | [36] |
MRU GmbH | SWG 100 Syngas | , , (NDIR) (TCD) | : 0–10/100% : 0–10/100% : 0–10/100% : 0–10/100% | no data | no data | [37] |
ETG Risorse e Technologia S.r.l. | MCA 100 SYN P – Portable Syngas Analyzer | , , (NDIR) (TCD) | Modified according to the needs of customer | , , , : ±2% FS | no data | [38] |
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Dobrzyniewski, D.; Szulczyński, B.; Dymerski, T.; Gębicki, J. Development of Gas Sensor Array for Methane Reforming Process Monitoring. Sensors 2021, 21, 4983. https://doi.org/10.3390/s21154983
Dobrzyniewski D, Szulczyński B, Dymerski T, Gębicki J. Development of Gas Sensor Array for Methane Reforming Process Monitoring. Sensors. 2021; 21(15):4983. https://doi.org/10.3390/s21154983
Chicago/Turabian StyleDobrzyniewski, Dominik, Bartosz Szulczyński, Tomasz Dymerski, and Jacek Gębicki. 2021. "Development of Gas Sensor Array for Methane Reforming Process Monitoring" Sensors 21, no. 15: 4983. https://doi.org/10.3390/s21154983
APA StyleDobrzyniewski, D., Szulczyński, B., Dymerski, T., & Gębicki, J. (2021). Development of Gas Sensor Array for Methane Reforming Process Monitoring. Sensors, 21(15), 4983. https://doi.org/10.3390/s21154983