|About this Abstract
||MS&T22: Materials Science & Technology
||Nanotechnology for Energy, Environment, Electronics, Healthcare and Industry
||Multi-Element Surface Acoustic Wave (SAW) Sensors for Methane Detection
||Daejin Kim, Jeffrey T. Culp, Jagannath Devkota, Ruishu Wright
|On-Site Speaker (Planned)
America relies on natural gas as a major energy source (approximately 40% in 2021). However, an estimated 2.3% of the gross natural gas production escapes from U.S. gas pipelines annually, resulting in a loss of ~$2 billion a year. The leaked methane gas is a powerful greenhouse gas which is 25 times more potent than CO2. Therefore, it is critical to detect leaks from natural gas pipelines using a sensitive methane sensor to alleviate the impact of methane emissions on both economy and environment. In light of this fact, we have developed a multi-element SAW array sensor which is coated with various sorbent materials to demonstrate methane sensing under environmental conditions. The effects of sorbent particle size and binding agents on the sensing performance will be discussed in both dry and humid conditions. The comparison between the wired and wireless detection modes of the SAW sensors will also be presented.
||Planned: At-meeting proceedings