Development of DOAS System for Hazardous Methane Detection in the Near-Infrared Region

  • Sayma Khandaker Faculty of Electrical and Electronics Engineering Technology, Universiti Malaysia Pahang Al-Sultan Abdullah
  • Md Mahmudul Hasan Faculty of Electrical and Electronics Engineering Technology, Universiti Malaysia Pahang Al-Sultan Abdullah
  • Nurulain Shaipuzaman Faculty of Electrical and Electronics Engineering Technology, Universiti Malaysia Pahang Al-Sultan Abdullah
  • Mohd Amir Shahlan Mohd Aspar Faculty of Electrical and Electronics Engineering Technology, Universiti Malaysia Pahang Al-Sultan Abdullah
  • Hadi Manap Faculty of Electrical and Electronics Engineering Technology, Universiti Malaysia Pahang Al-Sultan Abdullah
DOI: https://doi.org/10.24003/emitter.v12i2.890
Keywords: Methane detection, DOAS technique, optical sensor, NIR region

Abstract

Methane (CH4) is a powerful greenhouse gas that greatly contributes to global warming. It is also very combustible, which means it has a large danger of causing explosions. It is crucial to tackle methane emissions, especially those arising from oil and gas extraction processes like transit pipes. An area of great potential is the advancement of dependable sensors for the detection and reduction of methane leaks, with the aim of averting dangerous consequences. An open-path differential optical absorption spectroscopy (DOAS) system was described in this paper for the purpose of detecting CH4 gas emission at a moderate temperature. An in-depth examination of the absorption lines was conducted to determine the optimal wavelength for measurement. The Near Infrared (NIR) region was identified as the most suitable wavelength for detecting methane. Multiple measurements were conducted at different integration times (1 second, 2 seconds, and 3 seconds) to ensure reliability and determine the optimal integration time for the CH4 detection system. The DOAS system has the capability of precisely detecting methane concentrations at 1M ppm in the NIR region with a quick integration time of 2 seconds.  

Downloads

Download data is not yet available.

References

A. P. Ravikumar, J. Wang, and A. R. Brandt, Are Optical Gas Imaging Technologies Effective For Methane Leak Detection?, Environ. Sci. Technol., vol. 51, no. 1, pp. 718–724, Jan. 2017, doi: 10.1021/acs.est.6b03906.

A. R. Brandt et al., Methane Leaks from North American Natural Gas Systems, Science, vol. 343, no. 6172, pp. 733–735, Feb. 2014, doi: 10.1126/science.1247045.

D. R. Lyon, R. A. Alvarez, D. Zavala-Araiza, A. R. Brandt, R. B. Jackson, and S. P. Hamburg, Aerial Surveys of Elevated Hydrocarbon Emissions from Oil and Gas Production Sites, Environ. Sci. Technol., vol. 50, no. 9, pp. 4877–4886, May 2016, doi: 10.1021/acs.est.6b00705.

A. J. Turner, C. Frankenberg, and E. A. Kort, Interpreting contemporary trends in atmospheric methane, Proc. Natl. Acad. Sci. U.S.A., vol. 116, no. 8, pp. 2805–2813, Feb. 2019, doi: 10.1073/pnas.1814297116.

About Methane Emissions, Government of Canada, 2014. [Online]. Available: https://www.canada.ca/en/environment-climate-change/services/climate-change/global-methane-initiative/about-methane-emissions.html

Intergovernmental Panel On Climate Change, Ed., Climate Change 2013 – The Physical Science Basis: Working Group I Contribution to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change, 1st ed. Cambridge University Press, 2014. doi: 10.1017/CBO9781107415324.

M.-K. Tran and M. Fowler, A Review of Lithium-Ion Battery Fault Diagnostic Algorithms: Current Progress and Future Challenges, Algorithms, vol. 13, no. 3, p. 62, Mar. 2020, doi: 10.3390/a13030062.

A. M. Thompson, K. B. Hogan, and J. S. Hoffman, Methane reductions: Implications for global warming and atmospheric chemical change, Atmospheric Environment. Part A. General Topics, vol. 26, no. 14, pp. 2665–2668, Oct. 1992, doi: 10.1016/0960-1686(92)90118-5.

N. Lawrence, Analytical detection methodologies for methane and related hydrocarbons, Talanta, vol. 69, no. 2, pp. 385–392, Apr. 2006, doi: 10.1016/j.talanta.2005.10.005.

A. Karion et al., Aircraft-Based Estimate of Total Methane Emissions from the Barnett Shale Region, Environ. Sci. Technol., vol. 49, no. 13, pp. 8124–8131, Jul. 2015, doi: 10.1021/acs.est.5b00217.

T. N. Lavoie et al., Aircraft-Based Measurements of Point Source Methane Emissions in the Barnett Shale Basin, Environ. Sci. Technol., vol. 49, no. 13, pp. 7904–7913, Jul. 2015, doi: 10.1021/acs.est.5b00410.

D. R. Lyon et al., Constructing a Spatially Resolved Methane Emission Inventory for the Barnett Shale Region, Environ. Sci. Technol., vol. 49, no. 13, pp. 8147–8157, Jul. 2015, doi: 10.1021/es506359c.

X. Lan, R. Talbot, P. Laine, and A. Torres, Characterizing Fugitive Methane Emissions in the Barnett Shale Area Using a Mobile Laboratory, Environ. Sci. Technol., vol. 49, no. 13, pp. 8139–8146, Jul. 2015, doi: 10.1021/es5063055.

K. McKain et al., Methane emissions from natural gas infrastructure and use in the urban region of Boston, Massachusetts, Proc. Natl. Acad. Sci. U.S.A., vol. 112, no. 7, pp. 1941–1946, Feb. 2015, doi: 10.1073/pnas.1416261112.

Inventory of U.S. Greenhouse Gas Emissions and Sinks: 1990-2014, US Environmental Protection Agency, 2016. [Online]. Available: https://www.epa.gov/ghgemissions/inventory-us-greenhouse-gas-emissions-and-sinks-1990-2014

M. Omara, M. R. Sullivan, X. Li, R. Subramanian, A. L. Robinson, and A. A. Presto, Methane Emissions from Conventional and Unconventional Natural Gas Production Sites in the Marcellus Shale Basin, Environ. Sci. Technol., vol. 50, no. 4, pp. 2099–2107, Feb. 2016, doi: 10.1021/acs.est.5b05503.

A. J. Marchese et al., Methane Emissions from United States Natural Gas Gathering and Processing, Environ. Sci. Technol., vol. 49, no. 17, pp. 10718–10727, Sep. 2015, doi: 10.1021/acs.est.5b02275.

D. J. Zimmerle et al., Methane Emissions from the Natural Gas Transmission and Storage System in the United States, Environ. Sci. Technol., vol. 49, no. 15, pp. 9374–9383, Aug. 2015, doi: 10.1021/acs.est.5b01669.

B. K. Lamb et al., Direct Measurements Show Decreasing Methane Emissions from Natural Gas Local Distribution Systems in the United States, Environ. Sci. Technol., vol. 49, no. 8, pp. 5161–5169, Apr. 2015, doi: 10.1021/es505116p.

J. Peischl et al., Quantifying atmospheric methane emissions from oil and natural gas production in the Bakken shale region of North Dakota, JGR Atmospheres, vol. 121, no. 10, pp. 6101–6111, May 2016, doi: 10.1002/2015JD024631.

R. B. Jackson et al., Increasing anthropogenic methane emissions arise equally from agricultural and fossil fuel sources, Environ. Res. Lett., vol. 15, no. 7, p. 071002, Jul. 2020, doi: 10.1088/1748-9326/ab9ed2.

J. Kamieniak, E. P. Randviir, and C. E. Banks, The latest developments in the analytical sensing of methane, TrAC Trends in Analytical Chemistry, vol. 73, pp. 146–157, Nov. 2015, doi: 10.1016/j.trac.2015.04.030.

H. Manap and M. S. Najib, A DOAS system for monitoring of ammonia emission in the agricultural sector, Sensors and Actuators B: Chemical, vol. 205, pp. 411–415, Dec. 2014, doi: 10.1016/j.snb.2014.08.080.

G. Dooly, H. Manap, S. O’Keeffe, and E. Lewis, Highly Selective Optical Fibre Ammonia Sensor for use in Agriculture, Procedia Engineering, vol. 25, pp. 1113–1116, 2011, doi: 10.1016/j.proeng.2011.12.274.

S. O’Keeffe, H. Manap, G. Dooly, and E. Lewis, Real-time monitoring of agricultural ammonia emissions based on optical fibre sensing technology, in 2010 IEEE Sensors, Kona, HI: IEEE, Nov. 2010, pp. 1140–1143. doi: 10.1109/ICSENS.2010.5690821.

Differential Optical Absorption Spectroscopy, Physics of Earth and Space Environments. Berlin, Heidelberg: Springer Berlin Heidelberg, 2008. doi: 10.1007/978-3-540-75776-4.

Q. Gao, W. Weng, B. Li, M. Aldén, and Z. Li, Gas Temperature Measurement Using Differential Optical Absorption Spectroscopy (DOAS), Appl Spectrosc, vol. 72, no. 7, pp. 1014–1020, Jul. 2018, doi: 10.1177/0003702818760864.

D. Hollenbeck, D. Zulevic, and Y. Chen, Advanced Leak Detection and Quantification of Methane Emissions Using sUAS, Drones, vol. 5, no. 4, p. 117, Oct. 2021, doi: 10.3390/drones5040117.

T. Aldhafeeri, M.-K. Tran, R. Vrolyk, M. Pope, and M. Fowler, A Review of Methane Gas Detection Sensors: Recent Developments and Future Perspectives, Inventions, vol. 5, no. 3, p. 28, Jul. 2020, doi: 10.3390/inventions5030028.

X. Yu, R.-H. Lv, F. Song, C.-T. Zheng, and Y.-D. Wang, Pocket-Sized Nondispersive Infrared Methane Detection Device Using Two-Parameter Temperature Compensation, Spectroscopy Letters, vol. 47, no. 1, pp. 30–37, Jan. 2014, doi: 10.1080/00387010.2013.780082.

L. Polerecky, C. S. Burke, and B. D. MacCraith, Optimization of absorption-based optical chemical sensors that employ a single-reflection configuration, Appl. Opt., vol. 41, no. 15, p. 2879, May 2002, doi: 10.1364/AO.41.002879.

J. B. McManus, Application of quantum cascade lasers to high-precision atmospheric trace gas measurements, Opt. Eng, vol. 49, no. 11, p. 111124, Nov. 2010, doi: 10.1117/1.3498782.

L. Dong, W. Yin, W. Ma, L. Zhang, and S. Jia, High-sensitivity, large dynamic range, auto-calibration methane optical sensor using a short confocal Fabry–Perot cavity, Sensors and Actuators B: Chemical, vol. 127, no. 2, pp. 350–357, Nov. 2007, doi: 10.1016/j.snb.2007.04.030.

L. Tombez, E. J. Zhang, J. S. Orcutt, S. Kamlapurkar, and W. M. J. Green, Methane absorption spectroscopy on a silicon photonic chip, Optica, vol. 4, no. 11, p. 1322, Nov. 2017, doi: 10.1364/OPTICA.4.001322.

S. Iwaszenko, P. Kalisz, M. Słota, and A. Rudzki, Detection of Natural Gas Leakages Using a Laser-Based Methane Sensor and UAV, Remote Sensing, vol. 13, no. 3, p. 510, Jan. 2021, doi: 10.3390/rs13030510.

MPI-Mainz-UV-VIS Spectral Atlas of Gaseous Molecules. Accessed: Apr. 13, 2024. [Online]. Available: http://www.atmosphere.mpg.de/enid/2295

H. Manap, G. Dooly, S. O’Keeffe, and E. Lewis, Ammonia detection in the UV region using an optical fiber sensor, in 2009 IEEE Sensors, Christchurch, New Zealand: IEEE, Oct. 2009, pp. 140–145. doi: 10.1109/ICSENS.2009.5398215.

M. Mitu, M. Prodan, V. Giurcan, D. Razus, and D. Oancea, Influence of inert gas addition on propagation indices of methane–air deflagrations, Process Safety and Environmental Protection, vol. 102, pp. 513–522, Jul. 2016, doi: 10.1016/j.psep.2016.05.007.

Published
2025-01-20
How to Cite
Khandaker, S., Hasan, M. M., Shaipuzaman, N., Aspar, M. A. S. M., & Manap, H. (2025). Development of DOAS System for Hazardous Methane Detection in the Near-Infrared Region . EMITTER International Journal of Engineering Technology, 12(2), 182-195. https://doi.org/10.24003/emitter.v12i2.890
Issue
Vol 12 No 2 (2024)
Section
Articles

Copyright (c) 2024 EMITTER International Journal of Engineering Technology

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.

The copyright to this article is transferred to Politeknik Elektronika Negeri Surabaya(PENS) if and when the article is accepted for publication. The undersigned hereby transfers any and all rights in and to the paper including without limitation all copyrights to PENS. The undersigned hereby represents and warrants that the paper is original and that he/she is the author of the paper, except for material that is clearly identified as to its original source, with permission notices from the copyright owners where required. The undersigned represents that he/she has the power and authority to make and execute this assignment. The copyright transfer form can be downloaded here .

The corresponding author signs for and accepts responsibility for releasing this material on behalf of any and all co-authors. This agreement is to be signed by at least one of the authors who have obtained the assent of the co-author(s) where applicable. After submission of this agreement signed by the corresponding author, changes of authorship or in the order of the authors listed will not be accepted.

Retained Rights/Terms and Conditions

  1. Authors retain all proprietary rights in any process, procedure, or article of manufacture described in the Work.
  2. Authors may reproduce or authorize others to reproduce the work or derivative works for the author’s personal use or company use, provided that the source and the copyright notice of Politeknik Elektronika Negeri Surabaya (PENS) publisher are indicated.
  3. Authors are allowed to use and reuse their articles under the same CC-BY-NC-SA license as third parties.
  4. Third-parties are allowed to share and adapt the publication work for all non-commercial purposes and if they remix, transform, or build upon the material, they must distribute under the same license as the original.

Plagiarism Check

To avoid plagiarism activities, the manuscript will be checked twice by the Editorial Board of the EMITTER International Journal of Engineering Technology (EMITTER Journal) using iThenticate Plagiarism Checker and the CrossCheck plagiarism screening service. The similarity score of a manuscript has should be less than 25%. The manuscript that plagiarizes another author’s work or author's own will be rejected by EMITTER Journal.

Authors are expected to comply with EMITTER Journal's plagiarism rules by downloading and signing the plagiarism declaration form here and resubmitting the form, along with the copyright transfer form via online submission.