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008			260223t20252025my a|||fr|||| 000 0 eng d
020			_aTHE0010377 (Local) _qHardback
040			_aUMPSA _beng _cUMPSA _erda
090			_aFTKEE .H39 2025 r Thesis
100	1		_aSayma Khandaker, _eauthor.
245	1	0	_aDevelopment of gas sensing system for methane detection using differential optical absorption spectroscopy (doas) technique in the near-infrared (nir) region / _cSayma Khandaker
264		1	_aKuantan, Pahang : _bUMPSA, _c2025
264		4	_c© 2025
300			_axv, 103 pages : _billustrations ; _c30 cm. + _e1 CD-ROM.
336			_2rdacontent _atext
337			_2rdamedia _aunmediated
338			_2rdacarrier _avolume
347			_2rda _atext file _bPDF
500			_aFaculty of Electrical & Electronics Engineering Technology
502			_aThesis (Master of Science) -- Universiti Malaysia Pahang - 2025
504			_aInclude bibliographical reference
520	3		_aMethane (CH4) plays a pivotal role in climate change and industrial safety, yet its detection and monitoring remain challenging due to limitations in existing methods. This thesis explores the development of a methane gas sensing system utilizing the Differential Optical Absorption Spectroscopy (DOAS) technique. The system is designed to enhance detection significance. Key objectives include identifying the optimal wavelength in the Near-Infrared (NIR) region for methane detection. The study demonstrates the selection of 883 nm as the optimum wavelength for methane detection based on theoretical and experimental analyses. Laboratory experiments were conducted using a robust optical-based DOAS setup. The cross-sensitivity analysis is conducted to confirm the ability of DOAS to effectively differentiate CH4 from other atmospheric gases such as O2, CO2, and water vapor. A comparative analysis with the commercial MESTEK CGD02A sensor further validates the reliability of DOAS system. A total of six experimental tests were conducted. Among them, While Tests 1 and 3 yielded significant detection results for the DOAS system, the remaining four tests show slightly higher values for the commercial sensor, with an average error-percentage of 3.38%, which meets the laboratory standard for instruments with good precision. This research advances the application of DOAS in methane detection by providing an efficient solution for industrial and environmental monitoring. The proposed system addresses gaps in current technologies by offering broader spatial coverage and real-time detection capabilities, critical for mitigating methane emissions and improving industrial safety. The outcomes align with global climate mitigation goals and emphasize the importance of innovative sensing technologies in addressing greenhouse gas emissions.
610	2	0	_aFaculty of Electrical & Electronics Engineering Technology _xDissertations
650		0	_aUniversities and colleges _xDissertations
650		0	_aTheses _xDissertations
942			_2lcc _cTHESIS
999			_c104228 _d104234